Alternatives to Bonsai 27B
Compare Bonsai 27B alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Bonsai 27B in 2026. Compare features, ratings, user reviews, pricing, and more from Bonsai 27B competitors and alternatives in order to make an informed decision for your business.
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1
Bonsai Image
PrismML
Bonsai Image Ternary 4B MLX 2-bit is a ternary-weight text-to-image diffusion transformer deployment for Apple Silicon. It is built as a quality-oriented Bonsai Image variant, using ternary {−1, 0, +1} transformer weights with FP16 group-wise scaling in the matrix-heavy transformer layers, including Q/K/V projections, output projections, and MLP weights. The model reduces the FLUX.2 Klein 4B transformer from 7.75 GB FP16 to a 1.21 GB Bonsai Image transformer, a 6.4× smaller footprint, while keeping visual quality and prompt fidelity close to the original model. The Apple Silicon deployment payload is 3.88 GB, including the MLX 2-bit diffusion transformer, a 4-bit Qwen3-4B text encoder, and an FP16 Flux2 VAE. After prompt encoding, the text encoder is offloaded, so the denoising loop only keeps the compact transformer and VAE resident. The model uses a 4-step FlowMatchEuler sampler with guidance 1.0 and shift 3.0, with no CFG and no negative prompts required. -
2
Bonsai
Bonsai
What if you could run your entire business in one place? Bonsai is the only business management tool that combines CRM, invoicing, accounting & banking. No more "Managing my projects, contracts, and invoices is a time-consuming hassle." Generate custom contracts by picking from 1000+ templates in Bonsai’s library, and get paid faster by creating professional invoices in seconds with global payments and automatic reminders. No more "Tracking my expenses stresses me out." Track your income and automatically categorize your expenses to maximize write-offs. Say goodbye to spreadsheets & tax stress and hello to a bigger tax return. No more "Managing my clients’ expectations is hard." Use Bonsai's simple CRM to manage your clients and projects, and keep track of what matters. Turn new leads into clients, and clients into recurring business. Grow your business in no time while Bonsai takes care of the rest.Starting Price: $17 per month -
3
Bonsai
Bonsai
Bonsai is a cloud-based marketing measurement and automation platform that gives brands a highly accurate view of marketing performance across all channels while allowing full control to automate growth. On Bonsai’s platform, you can use advanced algorithms that train ad platforms (like Google and Meta) to buy clicks that are more likely to generate real business results, rather than just clicks, prioritizing high-value clicks based on attributes gleaned from past performance. They also provide built-in audience analytics, with automatic measurement of customer journeys (online and offline), segmentation by recency, frequency, monetization (RFM), geography, technology and behavior, without needing extra tracking code. For budget planning, Bonsai turns insights from its marketing mix modeling into actionable, profit-focused budget allocations, helping brands identify diminishing returns and optimize spend across channels.Starting Price: $1500 per month -
4
Bonsai.io
One More Cloud
Bonsai is an expert technology firm specializing in crafted search solutions for communities and businesses across the world. Bonsai ensures that your business is equipped to serve your customers and end users the best search imaginable. We support your team with consistent access to top-level engineers and manage your search through a leading platform with unrivaled stability — allowing you the freedom to deploy internal resources to other areas of your business. Nothing is more reassuring than knowing your mission-critical processes are flawlessly and expertly managed. And you’ll save thousands of staff hours, opening up the freedom to deploy your engineers to other areas of your business. With our one-of-a-kind, fully managed service, you’ll have regular, consistent contact with us via multiple channels. When Bonsai is in your corner, it’s like adding a whole team of search experts to your staff.Starting Price: $20 per month -
5
GroupWise to Office 365 Migration
Shoviv Software Pvt. Ltd.
Shoviv GroupWise to Office 365 migration tool is a professional and most trusted solution for all GroupWise users who want to migrate GroupWise mailboxes into Office365. The tool allows you to migrate all GroupWise emails to office 365 along with all mailbox items in an accurate manner. Following are some highlighted features of the tool: - >>Fastest and reliable migration of GroupWise mailboxes to office 365 mailboxes ->Migrate archive data from GroupWise to office 365 ->Save data in a different format such as EML, MSG into the local directory ->No file size limitation ->PST splitter facility helps to split larger mailbox into smaller PST ->The tool also preview your data before migration ->Support all GroupWise mail clients and windows operating system as well ->Simplified graphical user interface increase user experience.Starting Price: $449 for 100 systems -
6
Salix
Salix
Salix is a GNU/Linux distribution based on Slackware that is simple, fast and easy to use, with stability being a primary goal. Salix is also fully backwards compatible with Slackware, so Slackware users can benefit from Salix repositories, which they can use as an "extra" quality source of software for their favorite distribution. Like a bonsai, Salix is small, light & the product of infinite care. Everything that is included in the iso is installed. That includes a complete desktop environment and a complete selection of applications that matches the respective environment, always following the "one application per task" rationale. Only the minimum essentials for a console system to start are included. A graphical environment is not provided. This is ideal if you are an experienced user and want to customize your installation for any specific purpose, such as a web server, file server etc.Starting Price: Free -
7
Ternary
Ternary
Ternary is the world’s first native FinOps cloud cost optimization tool. Built for Google Cloud on Google Cloud. Make better decisions, spend wisely and build a culture of accountability, collaboration and trust between finance and engineering teams. FinOps is the operating model for managing the variable spend of cloud, a combination of systems, best practices, and culture that ensures companies get the most value out of every cloud dollar spent. Ternary can help you at any stage of your FinOps journey. Ternary is creating tools at the intersection of finance and engineering with features based on FinOps principles. Ternary provides the missing bridge between finance and engineering that allows for visibility and context across teams. Ternary has workflows that provide visibility, encourage collaboration and accountability in order to help you easily monitor, prioritize and track cost optimizations to completion across an organization. -
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OpenText GroupWise
OpenText
OpenText GroupWise is a secure, enterprise-grade messaging and collaboration platform that combines email, calendaring, contacts, and scheduling into a single, flexible system. It is built for organizations that require strong security, compliance, and reliability across highly regulated industries such as government, education, utilities, and healthcare. The platform enables teams to customize the user interface, integrate with systems like Microsoft Exchange and Active Directory, and centrally manage contacts, address books, and shared calendars. GroupWise includes intelligent scheduling tools, travel-time adjustments, and collaboration features that help streamline workflows and improve daily productivity. Its security measures—such as multifactor authentication, encryption, and gateway protection—ensure that sensitive communications stay protected. -
9
LFM2.5
Liquid AI
Liquid AI’s LFM2.5 is the next generation of on-device AI foundation models designed to deliver high-performance, efficient AI inference on edge devices such as phones, laptops, vehicles, IoT systems, and embedded hardware without relying on cloud compute. It extends the previous LFM2 architecture by significantly increasing the pretraining scale and reinforcement learning stages, yielding a family of hybrid models around 1.2 billion parameters that balance instruction following, reasoning, and multimodal capabilities for real-world agentic use cases. The LFM2.5 family includes Base (for fine-tuning and customization), Instruct (general-purpose instruction-tuned), Japanese-optimized, Vision-Language, and Audio-Language variants, all optimized for fast, on-device inference under tight memory constraints and available as open-weight models deployable via frameworks like llama.cpp, MLX, vLLM, and ONNX.Starting Price: Free -
10
Qwen3.6
Alibaba
Qwen3.6 is a large language model developed by Alibaba as part of its Qwen AI model family, designed for real-world applications and advanced reasoning tasks. It focuses on improving stability, usability, and performance compared to earlier versions. The model supports multimodal capabilities, allowing it to process and reason across text, images, and other data types. Qwen3.6 is particularly strong in coding and developer workflows, offering improved accuracy for complex programming tasks. It uses a mixture-of-experts architecture, enabling efficient performance while maintaining large-scale model capabilities. The model is designed to be deployable in production environments, including enterprise and cloud-based systems. It can be integrated into applications or run locally using open-weight variants. Overall, Qwen3.6 delivers a powerful, efficient, and versatile AI solution for modern use cases.Starting Price: Free -
11
Qwen3.5
Alibaba
Qwen3.5 is a next-generation open-weight multimodal large language model designed to power native vision-language agents. The flagship release, Qwen3.5-397B-A17B, combines a hybrid linear attention architecture with sparse mixture-of-experts, activating only 17 billion parameters per forward pass out of 397 billion total to maximize efficiency. It delivers strong benchmark performance across reasoning, coding, multilingual understanding, visual reasoning, and agent-based tasks. The model expands language support from 119 to 201 languages and dialects while introducing a 1M-token context window in its hosted version, Qwen3.5-Plus. Built for multimodal tasks, it processes text, images, and video with advanced spatial reasoning and tool integration. Qwen3.5 also incorporates scalable reinforcement learning environments to improve general agent capabilities. Designed for developers and enterprises, it enables efficient, tool-augmented, multimodal AI workflows.Starting Price: Free -
12
Inkling
Thinking Machines Lab
Inkling is an open-weights multimodal AI model from Thinking Machines designed as a customizable foundation model for developers, researchers, and enterprises. The model is a Mixture-of-Experts transformer with 975 billion total parameters, 41 billion active parameters, and support for context windows up to 1 million tokens. Inkling was trained from scratch on text, images, audio, and video, giving it native capabilities across reasoning, coding, agentic tool use, vision, audio, factuality, and instruction following. It is built with controllable thinking effort so users can balance performance, latency, and token efficiency for different workloads. The model is available for fine-tuning on Tinker, with playground access, API availability through ecosystem partners, and full weights published on Hugging Face. Built for customization, Inkling gives teams an open-weights base model for building domain-specific AI systems, multimodal agents, coding workflows, research tools, and more.Starting Price: Free -
13
TRANSEND
TRANSEND
Transend’s software is a comprehensive, intuitive, scalable email and data migration solution designed to move messages, folders, attachments, calendars, contacts, tasks, and more between virtually any source and target platform with no data loss or downtime, supporting both simple and complex migrations such as Microsoft 365, Google Workspace, Exchange, GroupWise, Lotus Notes, Amazon WorkMail, IMAP and legacy systems all from a central Migration Console. It automates configuration steps and uses smart predictive settings to simplify setup, allows administrators to scale processing across multiple remote agent machines with adjustable concurrency, offers enhanced reporting and real-time status notifications, and provides a Forecast Completion view that estimates when the migration will finish. Transend’s multi-phased methodology includes planning, evaluation, configuration, scaling and validation with optional professional support from senior architects. -
14
iApp
Spectra Technovision
A one-stop hub catering to all your human resource needs, iApp simply helps to create more opportunities to evaluate and re-evaluate existing processes with equal attention to daily employee activities. The system helps user(s) to follow a standard course, thus, eliminating room for error. For instance, timely leave adjustment which can be maintained group-wise, month-wise, or year-wise adds broader perspective into the process, thus, ensuring better execution of work-place policies by the employees. HRs can generate leave reports which can then be accessed for future verification or refinement of the system, thereby, creating a standard code of conduct for all. All applications on a single integrated platform offer great flexibility in implementing enterprise-wide identity solutions. Application-specific expertise has been built into iApp, making it the hallmark of all of Spectra's solution offerings. -
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kluster.ai
kluster.ai
Kluster.ai is a developer-centric AI cloud platform designed to deploy, scale, and fine-tune large language models (LLMs) with speed and efficiency. Built for developers by developers, it offers Adaptive Inference, a flexible and scalable service that adjusts seamlessly to workload demands, ensuring high-performance processing and consistent turnaround times. Adaptive Inference provides three distinct processing options: real-time inference for ultra-low latency needs, asynchronous inference for cost-effective handling of flexible timing tasks, and batch inference for efficient processing of high-volume, bulk tasks. It supports a range of open-weight, cutting-edge multimodal models for chat, vision, code, and more, including Meta's Llama 4 Maverick and Scout, Qwen3-235B-A22B, DeepSeek-R1, and Gemma 3 . Kluster.ai's OpenAI-compatible API allows developers to integrate these models into their applications seamlessly.Starting Price: $0.15per input -
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Ministral 3
Mistral AI
Mistral 3 is the latest generation of open-weight AI models from Mistral AI, offering a full family of models, from small, edge-optimized versions to a flagship, large-scale multimodal model. The lineup includes three compact “Ministral 3” models (3B, 8B, and 14B parameters) designed for efficiency and deployment on constrained hardware (even laptops, drones, or edge devices), plus the powerful “Mistral Large 3,” a sparse mixture-of-experts model with 675 billion total parameters (41 billion active). The models support multimodal and multilingual tasks, not only text, but also image understanding, and have demonstrated best-in-class performance on general prompts, multilingual conversations, and multimodal inputs. The base and instruction-fine-tuned versions are released under the Apache 2.0 license, enabling broad customization and integration in enterprise and open source projects.Starting Price: Free -
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MiniMax M3
MiniMax
MiniMax M3 is an open-weight multimodal AI model designed for coding, agentic workflows, long-context reasoning, and complex automation tasks. The model combines frontier-level coding performance, native multimodal understanding, and a context window of up to 1 million tokens. MiniMax M3 uses MiniMax Sparse Attention to improve long-context efficiency while reducing compute requirements for large-scale inputs. It supports text, image, and video understanding, making it useful for workflows that combine code, documents, visual references, and tool-driven tasks. The model is built for repository-scale reasoning, software engineering, autonomous task execution, tool calling, and multi-step agent workflows. MiniMax M3 helps developers, AI teams, and enterprises build capable agents that can reason across large contexts and work with multimodal information.Starting Price: Free -
18
Qwen3.6-27B
Alibaba
Qwen3.6-27B is a dense, open source multimodal language model in the Qwen3.6 series, designed to deliver flagship-level performance in coding, reasoning, and agent-based workflows while maintaining a relatively efficient parameter size of 27 billion. It is positioned as a high-performance general model that “punches above its weight,” achieving results competitive with or superior to significantly larger models on key benchmarks, particularly in agentic coding tasks. It supports both thinking and non-thinking modes, allowing it to dynamically balance deep reasoning with fast responses depending on the task, and integrates capabilities across text and multimodal inputs such as images and video. Built as part of the Qwen3.6 family, the model emphasizes real-world usability, stability, and developer productivity, incorporating improvements driven by community feedback and practical deployment needs.Starting Price: Free -
19
Devstral Small 2
Mistral AI
Devstral Small 2 is the compact, 24 billion-parameter variant of the new coding-focused model family from Mistral AI, released under the permissive Apache 2.0 license to enable both local deployment and API use. Alongside its larger sibling (Devstral 2), this model brings “agentic coding” capabilities to environments with modest compute: it supports a large 256K-token context window, enabling it to understand and make changes across entire codebases. On the standard code-generation benchmark (SWE-Bench Verified), Devstral Small 2 scores around 68.0%, placing it among open-weight models many times its size. Because of its reduced size and efficient design, Devstral Small 2 can run on a single GPU or even CPU-only setups, making it practical for developers, small teams, or hobbyists without access to data-center hardware. Despite its compact footprint, Devstral Small 2 retains key capabilities of larger models; it can reason across multiple files and track dependencies.Starting Price: Free -
20
Dataman Blood Bank Management
Dataman
Our blood bank management system software is developed with advanced technology to equip blood banks with the best automated features and a powerful interface managing all modules efficiently. Dataman Blood Bank Management is a software application to maintain day-to-day transactions, it is a value-added module available in AAROGYA that facilitates group-wise donor information, donor card generation, donor certificates, quality checks, receipts, test analysis, donor lists with a biometric interface, etc. It manages blood donation campaigns & maintains a database of donors. The module enables hospitals to manage their blood and blood product inventory. This module includes features for testing and screening of donated blood. This allows hospitals to prepare different blood components, such as red blood cells, platelets, and plasma. This helps blood banks to manage the distribution of blood to hospitals and other healthcare facilities. -
21
Ternary
Asset Entities Inc.
Ternary integrates your website, payment processor, and Discord to create a seamless “ternary” connection. We’ve shortened and simplified the entire integration process! You can now easily sell memberships directly on your website, immediately collect payments through Stripe (can payout daily!), and securely authenticate them into Discord all in a matter of seconds! Our platform is clean and user-friendly allowing you to make quick changes through clicks and not code! Configure everything from the products on your website to permissions and roles within Discord when a user enters. The tools are now in your hands! Our sophisticated Discord Bot is another employee handling all the manual work for you, giving you back time to focus on growing your community! It will authenticate a new user into your private server, assign a customizable permission set, and remove that user instantly when their subscription expires!Starting Price: $50 per month -
22
Pixtral Large
Mistral AI
Pixtral Large is a 124-billion-parameter open-weight multimodal model developed by Mistral AI, building upon their Mistral Large 2 architecture. It integrates a 123-billion-parameter multimodal decoder with a 1-billion-parameter vision encoder, enabling advanced understanding of documents, charts, and natural images while maintaining leading text comprehension capabilities. With a context window of 128,000 tokens, Pixtral Large can process at least 30 high-resolution images simultaneously. The model has demonstrated state-of-the-art performance on benchmarks such as MathVista, DocVQA, and VQAv2, surpassing models like GPT-4o and Gemini-1.5 Pro. Pixtral Large is available under the Mistral Research License for research and educational use, and under the Mistral Commercial License for commercial applications.Starting Price: Free -
23
Seed2.0 Mini
ByteDance
Seed2.0 Mini is the smallest member of ByteDance’s Seed2.0 series of general-purpose multimodal agent models, designed for high-throughput inference and dense deployment while retaining the core strengths of its larger siblings in multimodal understanding and instruction following. Part of a family that also includes Pro and Lite, the Mini variant is optimized for high-concurrency and batch generation workloads, making it suitable for applications where efficient processing of many requests at scale matters as much as capability. Like other Seed2.0 models, it benefits from systematic enhancements in visual reasoning, motion perception, structured extraction from complex inputs like text and images, and reliable execution of multi-step instructions, but it trades some raw reasoning and output quality for faster, more cost-effective inference and better deployment efficiency. -
24
ClinePass
Cline
ClinePass is a subscription for open weight models in Cline, built to give developers generous quotas and reliable access to capable coding models without managing separate provider setup or API keys. It is designed for Cline IDE and CLI. The agent harness is built for open-weight model workflows, so developers can go from signup to coding in minutes; create an account, install Cline, select the ClinePass provider, and start coding. ClinePass includes open weight models from Z.ai, Moonshot AI, DeepSeek, MiniMax, MiMo, and Qwen, including GLM 5.2 for deep reasoning, Kimi K2.7 Code for coding tasks, Kimi K2.6 for agentic workflows, DeepSeek V4 Pro for large changes, DeepSeek V4 Flash for fast iteration, MiniMax M3 for general coding, MiMo V2.5 Pro for pro workloads, MiMo V2.5 for efficient edits, Qwen3.7-Max for heavy workloads, and Qwen3.7-Plus for balanced coding.Starting Price: $4.99 per month -
25
GLM-4.5
Z.ai
GLM‑4.5 is Z.ai’s latest flagship model in the GLM family, engineered with 355 billion total parameters (32 billion active) and a companion GLM‑4.5‑Air variant (106 billion total, 12 billion active) to unify advanced reasoning, coding, and agentic capabilities in one architecture. It operates in a “thinking” mode for complex, multi‑step reasoning and tool use, and a “non‑thinking” mode for instant responses, supporting up to 128 K token context length and native function calling. Available via the Z.ai chat platform and API, with open weights on HuggingFace and ModelScope, GLM‑4.5 ingests diverse inputs to solve general problem‑solving, common‑sense reasoning, coding from scratch or within existing projects, and end‑to‑end agent workflows such as web browsing and slide generation. Built on a Mixture‑of‑Experts design with loss‑free balance routing, grouped‑query attention, and an MTP layer for speculative decoding, it delivers enterprise‑grade performance. -
26
GLM-4.7-Flash
Z.ai
GLM-4.7 Flash is a lightweight variant of GLM-4.7, Z.ai’s flagship large language model designed for advanced coding, reasoning, and multi-step task execution with strong agentic performance and a very large context window. It is an MoE-based model optimized for efficient inference that balances performance and resource use, enabling deployment on local machines with moderate memory requirements while maintaining deep reasoning, coding, and agentic task abilities. GLM-4.7 itself advances over earlier generations with enhanced programming capabilities, stable multi-step reasoning, context preservation across turns, and improved tool-calling workflows, and supports very long context lengths (up to ~200 K tokens) for complex tasks that span large inputs or outputs. The Flash variant retains many of these strengths in a smaller footprint, offering competitive benchmark performance in coding and reasoning tasks for models in its size class.Starting Price: Free -
27
OpenLLaMA
OpenLLaMA
OpenLLaMA is a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset. Our model weights can serve as the drop in replacement of LLaMA 7B in existing implementations. We also provide a smaller 3B variant of LLaMA model.Starting Price: Free -
28
HunyuanOCR
Tencent
Tencent Hunyuan is a large-scale, multimodal AI model family developed by Tencent that spans text, image, video, and 3D modalities, designed for general-purpose AI tasks like content generation, visual reasoning, and business automation. Its model lineup includes variants optimized for natural language understanding, multimodal vision-language comprehension (e.g., image & video understanding), text-to-image creation, video generation, and 3D content generation. Hunyuan models leverage a mixture-of-experts architecture and other innovations (like hybrid “mamba-transformer” designs) to deliver strong performance on reasoning, long-context understanding, cross-modal tasks, and efficient inference. For example, the vision-language model Hunyuan-Vision-1.5 supports “thinking-on-image”, enabling deep multimodal understanding and reasoning on images, video frames, diagrams, or spatial data. -
29
Command A Translate
Cohere AI
Command A Translate is Cohere’s enterprise-grade machine translation model crafted to deliver secure, high-quality translation across 23 business-relevant languages. Built on a powerful 111-billion-parameter architecture with an 8K-input / 8K-output context window, it achieves industry-leading performance that surpasses models like GPT-5, DeepSeek-V3, DeepL Pro, and Google Translate across a broad suite of benchmarks. The model supports private deployments for sensitive workflows, allowing enterprises full control over their data, and introduces an innovative “Deep Translation” workflow, an agentic, multi-step refinement process that iteratively enhances translation quality for complex use cases. External validation from RWS Group confirms its excellence in challenging translation tasks. Additionally, the model’s weights are available for research via Hugging Face under a CC-BY-NC license, enabling deep customization, fine-tuning, and private deployment flexibility. -
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GLM-5.1
Zhipu AI
GLM-5.1 is the latest iteration of Z.ai’s GLM series, designed as a frontier-level, agent-oriented AI model optimized for coding, reasoning, and long-horizon workflows. It builds on the GLM-5 architecture, which uses a Mixture-of-Experts (MoE) design to deliver high performance while keeping inference costs efficient, and is part of a broader push toward open-weight, developer-accessible models. A core focus of GLM-5.1 is enabling agentic behavior, meaning it can plan, execute, and iterate across multi-step tasks rather than simply responding to single prompts. It is specifically designed to handle complex workflows such as debugging code, navigating repositories, and executing chained operations with sustained context. Compared to earlier models, GLM-5.1 improves reliability in long interactions, maintaining coherence across extended sessions and reducing breakdowns in multi-step reasoning.Starting Price: Free -
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Qwen3.7-Plus
Alibaba
Qwen3.7-Plus is a multimodal agent model that unifies vision and language into a single, versatile agent foundation. Building on Qwen3.7’s agentic intelligence, it extends Qwen’s capabilities into visual understanding, visual reasoning, grounded interaction, and multimodal tool use, enabling agents to perceive, analyze, and act across text, images, documents, screens, and complex real-world contexts. It is designed for tasks that require more than static question answering, including visual search, document comprehension, chart and table analysis, screen understanding, GUI interaction, image-grounded reasoning, and agent workflows that combine perception with planning and execution. Qwen3.7-Plus strengthens the connection between language reasoning and visual evidence, allowing users to ask questions about images, interpret dense multimodal inputs, extract structured information, and generate responses that reflect both context and visual details. -
32
Qwen2
Alibaba
Qwen2 is the large language model series developed by Qwen team, Alibaba Cloud. Qwen2 is a series of large language models developed by the Qwen team at Alibaba Cloud. It includes both base language models and instruction-tuned models, ranging from 0.5 billion to 72 billion parameters, and features both dense models and a Mixture-of-Experts model. The Qwen2 series is designed to surpass most previous open-weight models, including its predecessor Qwen1.5, and to compete with proprietary models across a broad spectrum of benchmarks in language understanding, generation, multilingual capabilities, coding, mathematics, and reasoning.Starting Price: Free -
33
GLM-4.1V
Zhipu AI
GLM-4.1V is a vision-language model, providing a powerful, compact multimodal model designed for reasoning and perception across images, text, and documents. The 9-billion-parameter variant (GLM-4.1V-9B-Thinking) is built on the GLM-4-9B foundation and enhanced through a specialized training paradigm using Reinforcement Learning with Curriculum Sampling (RLCS). It supports a 64k-token context window and accepts high-resolution inputs (up to 4K images, any aspect ratio), enabling it to handle complex tasks such as optical character recognition, image captioning, chart and document parsing, video and scene understanding, GUI-agent workflows (e.g., interpreting screenshots, recognizing UI elements), and general vision-language reasoning. In benchmark evaluations at the 10 B-parameter scale, GLM-4.1V-9B-Thinking achieved top performance on 23 of 28 tasks.Starting Price: Free -
34
Experimently
Experimently
Experimently lets entrepreneurs and product builders spin up a custom, no-code landing page with built-in lead capture in seconds; you begin by entering a prompt or choosing a template, then edit the page visually (or bring your own code), publish it on a subdomain or your own domain, and launch weighted AB tests with multiple variants to learn what resonates. The platform includes fully-featured lead forms you can view or export, embedded analytics for views, conversions, and UTM attribution, unlimited traffic, and flicker-free variant routing, all aimed at validating ideas before building a full product. With seamless domain support, variant assignment, and idea-to-live-page workflows, Experimently makes it fast and easy to go from concept to actionable data without building a full website first.Starting Price: $19 per month -
35
Qwen3-VL
Alibaba
Qwen3-VL is the newest vision-language model in the Qwen family (by Alibaba Cloud), designed to fuse powerful text understanding/generation with advanced visual and video comprehension into one unified multimodal model. It accepts inputs in mixed modalities, text, images, and video, and handles long, interleaved contexts natively (up to 256 K tokens, with extensibility beyond). Qwen3-VL delivers major advances in spatial reasoning, visual perception, and multimodal reasoning; the model architecture incorporates several innovations such as Interleaved-MRoPE (for robust spatio-temporal positional encoding), DeepStack (to leverage multi-level features from its Vision Transformer backbone for refined image-text alignment), and text–timestamp alignment (for precise reasoning over video content and temporal events). These upgrades enable Qwen3-VL to interpret complex scenes, follow dynamic video sequences, read and reason about visual layouts.Starting Price: Free -
36
Fruit Street
Fruit Street
Improving your health is a science, so why not have a team of experts in your pocket to lead your journey. Let's start changing your life today! Take a 1-Minute Risk Quiz for Prediabetes. Share photos of your meals and receive personalized feedback from your Registered Dietitian Lifestyle Coach in your food log. Connect with peers in your group facing similar challenges to learn from real-life experiences. Discover tips and tricks for nutrition, exercise, sleep, and stress management over our 26 virtual sessions. Track your weight loss progress and physical activity with your FREE smart scale and Fitbit! With the support of your Fruit Street Registered Dietitian and fellow group members, you’ll make small, incremental changes in eating and physical activity that will help you lose weight and prevent type 2 diabetes, improving your overall quality of life! Our program goes beyond weight loss, by highlighting the mind and body connection so making lasting behavioral changes comes easier. -
37
GLM-4.6V
Zhipu AI
GLM-4.6V is a state-of-the-art open source multimodal vision-language model from the Z.ai (GLM-V) family designed for reasoning, perception, and action. It ships in two variants: a full-scale version (106B parameters) for cloud or high-performance clusters, and a lightweight “Flash” variant (9B) optimized for local deployment or low-latency use. GLM-4.6V supports a native context window of up to 128K tokens during training, enabling it to process very long documents or multimodal inputs. Crucially, it integrates native Function Calling, meaning the model can take images, screenshots, documents, or other visual media as input directly (without manual text conversion), reason about them, and trigger tool calls, bridging “visual perception” with “executable action.” This enables a wide spectrum of capabilities; interleaved image-and-text content generation (for example, combining document understanding with text summarization or generation of image-annotated responses).Starting Price: Free -
38
FitOn
FitOn
Unlimited access to the world’s best workouts from celebrity trainers. Join 5+ million members on the top digital fitness platform and stay toned, lose weight, get strong, reduce stress, and reach your goals. Train your mind and body with personalized fitness plans. Reduce stress and be more mindful with soothing video meditations. Work out with celebrities and world-class trainers. Never get bored, get results with short & effective workouts you can do anywhere. Work out anywhere with celebs and world-class trainers who will motivate you to reach your goals. FitOn makes exercise motivating and fun with a one-of-a-kind social experience that lets you interact with fitness pals inside and outside of class, right from your phone. Whether you want to lose weight, tone it up or just sweat, find a better you with friends or solo, with FitOn, fitness on your time. As crazy as it sounds, all our workouts and personalized fitness plans are 100% free with never anything to pay. -
39
Qwen3.5-Plus
Alibaba
Qwen3.5-Plus is a high-performance native vision-language model designed for efficient text generation, deep reasoning, and multimodal understanding. Built on a hybrid architecture that combines linear attention with a sparse mixture-of-experts design, it delivers strong performance while optimizing inference efficiency. The model supports text, image, and video inputs and produces text outputs, making it suitable for complex multimodal workflows. With a massive 1 million token context window and up to 64K output tokens, Qwen3.5-Plus enables long-form reasoning and large-scale document analysis. It includes advanced capabilities such as structured outputs, function calling, web search, and tool integration via the Responses API. The model supports prefix continuation, caching, batch processing, and fine-tuning for flexible deployment. Designed for developers and enterprises, Qwen3.5-Plus provides scalable, high-throughput AI performance with OpenAI-compatible API access.Starting Price: $0.4 per 1M tokens -
40
Command A Vision
Cohere AI
Command A Vision is Cohere’s multimodal AI solution built for enterprise use that combines image understanding with language capabilities to drive business outcomes while keeping compute costs low; it extends the Command family by adding vision comprehension, allowing organizations to interpret and act on visual content in concert with text, and integrates into workplace systems to surface insights, boost productivity, and enable more intelligent search and discovery. The offering is positioned alongside Cohere’s broader AI stack and emphasizes putting AI to work in real-world workflows, helping teams unify multimodal signals, extract actionable meaning from images and associated metadata, and surface relevant business intelligence without excessive infrastructure overhead. Command A Vision excels at understanding and analyzing a wide range of visual and multilingual data, including charts, graphs, tables, and diagrams. -
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Holo3
H Company
Holo3 is a state-of-the-art multimodal AI model developed by H Company, specifically designed to operate computers and execute tasks within graphical user interfaces (GUIs) across web, desktop, and mobile environments. Unlike traditional language models that generate text, Holo3 functions as a “computer-use” model: it takes screenshots of a system as input, interprets the visual interface, and outputs precise actions such as clicks, typing, and scrolling to complete real tasks step by step. Built on a Mixture-of-Experts architecture, it efficiently handles complex, multi-step workflows while reducing computational cost by activating only a subset of parameters per task. The model is engineered for real-world deployment and integrates into enterprise workflows through an agent-based platform that allows organizations to configure, deploy, and monitor automated processes end to end. -
42
PygmalionAI
PygmalionAI
PygmalionAI is a community dedicated to creating open-source projects based on EleutherAI's GPT-J 6B and Meta's LLaMA models. In simple terms, Pygmalion makes AI fine-tuned for chatting and roleplaying purposes. The current actively supported Pygmalion AI model is the 7B variant, based on Meta AI's LLaMA model. With only 18GB (or less) VRAM required, Pygmalion offers better chat capability than much larger language models with relatively minimal resources. Our curated dataset of high-quality roleplaying data ensures that your bot will be the optimal RP partner. Both the model weights and the code used to train it are completely open-source, and you can modify/re-distribute it for whatever purpose you want. Language models, including Pygmalion, generally run on GPUs since they need access to fast memory and massive processing power in order to output coherent text at an acceptable speed.Starting Price: Free -
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Capital Harness Designer
Siemens
Capital Wiring Harness Designer enables engineers to create detailed, validated, and manufacturing-ready harness designs. It offers automated part selection routines for components like wires, terminals, seals, and heat-shrink sleeves, facilitating the creation of comprehensive bills of materials. It includes configurable design rule checks to ensure adherence to organizational standards and supports the calculation of manufacturing wire lengths, bundle diameters, and harness weights. Its collaborative design merges functions, allows for the integration of multi-source design inputs, and it manages multiple harness variants from a single design, streamlining the design process. -
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GLM-4.5V-Flash
Zhipu AI
GLM-4.5V-Flash is an open source vision-language model, designed to bring strong multimodal capabilities into a lightweight, deployable package. It supports image, video, document, and GUI inputs, enabling tasks such as scene understanding, chart and document parsing, screen reading, and multi-image analysis. Compared to larger models in the series, GLM-4.5V-Flash offers a compact footprint while retaining core VLM capabilities like visual reasoning, video understanding, GUI task handling, and complex document parsing. It can serve in “GUI agent” workflows, meaning it can interpret screenshots or desktop captures, recognize icons or UI elements, and assist with automated desktop or web-based tasks. Although it forgoes some of the largest-model performance gains, GLM-4.5V-Flash remains versatile for real-world multimodal tasks where efficiency, lower resource usage, and broad modality support are prioritized.Starting Price: Free -
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Molmo 2
Ai2
Molmo 2 is a new suite of state-of-the-art open vision-language models with fully open weights, training data, and training code that extends the original Molmo family’s grounded image understanding to video and multi-image inputs, enabling advanced video understanding, pointing, tracking, dense captioning, and question-answering capabilities; all with strong spatial and temporal reasoning across frames. Molmo 2 includes three variants: an 8 billion-parameter model optimized for overall video grounding and QA, a 4 billion-parameter version designed for efficiency, and a 7 billion-parameter Olmo-backed model offering a fully open end-to-end architecture including the underlying language model. These models outperform earlier Molmo versions on core benchmarks and set new open-model high-water marks for image and video understanding tasks, often competing with substantially larger proprietary systems while training on a fraction of the data used by comparable closed models. -
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One Drop
One Drop
The whole-person solution for managing diabetes, blood pressure, heart health, and weight. Discover how artificial intelligence and the human touch of health coaching can help you manage diabetes, blood pressure, heart health, and weight. Text with a credentialed healthcare professional for guidance and encouragement on every step of your journey to better health. Plan your day better with 8-hour glucose predictions (for members with type 2 diabetes) and blood pressure trends and alerts. Track personal health goals, set reminders, and log weight, A1C, medications, blood pressure, activity, and food all in one place. Find meal plans and exercise routines that work for your lifestyle and get advice from your coach on how to make small, manageable changes.Starting Price: Free -
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Qwen3.7-Max
Alibaba
Qwen3.7-Max is Qwen’s latest proprietary model designed for the agent era, built to be a versatile agent foundation that is equally capable of writing and debugging code, automating office workflows, and sustaining autonomous browser sessions over long horizons. It reaches frontier-level coding performance, with stronger results across software engineering, terminal tasks, GUI grounding, web browsing, and agentic tool use. Qwen3.7-Max is designed to reduce the gap between model intelligence and real agent execution by supporting planning, long-context reasoning, reliable function calling, and multi-step task completion across complex workflows. It also strengthens multimodal and document-oriented work through Qwen Studio, which supports chatbot interaction, image and video understanding, image generation, document processing, presentation generation, coding assistance, deep research, and web development.Starting Price: Free -
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Holo3.1
H Company
Holo3.1 is H Company’s family of fast and local computer-use agents, built to operate across web, desktop, and mobile environments while integrating more smoothly into different agent frameworks and deployment targets. Based on the Qwen family, Holo3.1 improves robustness across the environments where computer-use agents are actually deployed, addressing the distribution shifts that appear across mobile devices, alternative agent harnesses, and different execution frameworks. The release expands Holo3’s capabilities beyond browser and desktop control, with major gains in mobile automation, including AndroidWorld improvements from 67% to 79.3% for the 35B-A3B model and from 58% to 71% for the smaller 4B and 9B variants. Holo3.1 also introduces native support for function-calling protocols in addition to structured JSON outputs, helping teams deploy the model inside third-party agent stacks with near-parity between function-calling and native execution. -
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Laguna XS.2
Poolside
Laguna XS.2 is Poolside’s open-weight agentic coding model, built as the lightest and fastest model in the Laguna family. It is a 33B total-parameter Mixture of Experts model with 3B activated parameters, trained completely in-house on 30T tokens. As Poolside’s newest generation model open to the community, Laguna XS.2 is a second-generation architecture and the company’s first open-weight model, built on the lessons learned from training Laguna M.1 across synthetic data and reinforcement learning. The model is designed for agentic coding workflows, where it can code, act, iterate quickly, and perform best inside Poolside’s coding agent. Laguna XS.2 is positioned as a strong model for rapid agentic iteration, especially for developers and teams that need a compact, efficient coding model rather than a heavier frontier system. It is released under an Apache 2.0 license, allowing the community to evaluate, fine-tune, quantize, serve, and build on the weights.Starting Price: Free -
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Tinker
Thinking Machines Lab
Tinker is a training API designed for researchers and developers that allows full control over model fine-tuning while abstracting away the infrastructure complexity. It supports primitives and enables users to build custom training loops, supervision logic, and reinforcement learning flows. It currently supports LoRA fine-tuning on open-weight models across both LLama and Qwen families, ranging from small models to large mixture-of-experts architectures. Users write Python code to handle data, loss functions, and algorithmic logic; Tinker handles scheduling, resource allocation, distributed training, and failure recovery behind the scenes. The service lets users download model weights at different checkpoints and doesn’t force them to manage the compute environment. Tinker is delivered as a managed offering; training jobs run on Thinking Machines’ internal GPU infrastructure, freeing users from cluster orchestration.