Alternatives to Contextwaise
Compare Contextwaise alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Contextwaise in 2026. Compare features, ratings, user reviews, pricing, and more from Contextwaise competitors and alternatives in order to make an informed decision for your business.
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1
OpenRouter
OpenRouter
OpenRouter is an AI model routing platform that gives developers access to hundreds of models through a single unified API. It connects users with models from providers such as OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek, Qwen, xAI, and many others. The platform supports text, image, video, and audio generation while allowing developers to use one API key and a consistent interface across providers. OpenRouter can route requests based on price, performance, and availability, with fallback options that help maintain service when a provider experiences downtime. It also offers configurable data policies so organizations can control which providers receive prompts and how requests are handled. Developers can purchase credits, choose from more than 500 active models across over 80 providers, and integrate OpenRouter using an OpenAI-compatible API.Starting Price: Free -
2
BetterToken
BetterToken
BetterToken is a hosted LLM API gateway that provides API access to models from providers including Anthropic, OpenAI, Moonshot, Z.ai, DeepSeek, Alibaba Cloud and MiniMax through BetterToken account keys. It offers OpenAI-compatible and Anthropic-compatible endpoints, with a Responses-compatible setup for Codex, and lets developers connect coding tools, applications, agents and automation workflows using a custom base URL. Users can choose models from a live catalog, view token usage and request charges in the workspace, and pay through prepaid balance or monthly quota plans. Model costs vary by input, output and supported cached or media tokens. Setup guides cover tools such as Claude Code, Codex, Cursor, Dify and n8n. BetterToken is intended for developers and teams integrating hosted language models into software and automated workflows.Starting Price: $19/month -
3
CheapTokens
CheapTokens
CheapTokens is a pay-as-you-go API service for developers building AI agents, coding workflows, and applications with open-weight language models. Its model catalog focuses on families such as DeepSeek, GLM, and MiniMax. The service provides OpenAI-compatible and Anthropic-compatible API endpoints. Developers connect supported tools using a CheapTokens API key, a base URL, and a model ID. Usage is billed from a prepaid USD balance, with separate input and output token rates and no monthly subscription. Prices are listed per million tokens. The website provides API documentation, request examples, and integration guides for supported coding assistants and agent tools.Starting Price: 5$ -
4
Superexpert.AI
Superexpert.AI
Superexpert.AI is an open source platform that enables developers to build advanced, multi-task AI agents without writing code. It supports the creation of versatile AI solutions, from simple chatbots to sophisticated agents capable of handling hundreds of tasks. It is extensible, allowing integration of custom tools and functions, and is compatible with various hosting providers, including Vercel, AWS, GCP, and Azure. Superexpert.AI offers features like Retrieval-Augmented Generation (RAG) for efficient document retrieval, multi-model compatibility with AI models such as OpenAI, Anthropic, and Gemini, and a modern web application architecture built with Next.js, TypeScript, and PostgreSQL. It provides a user-friendly interface for configuring agents and tasks, making it accessible for users without programming experience.Starting Price: Free -
5
Qualcomm AI Inference Suite
Qualcomm
The Qualcomm AI Inference Suite is a comprehensive software platform designed to streamline the deployment of AI models and applications across cloud and on-premises environments. It offers seamless one-click deployment, allowing users to easily integrate their own models, including generative AI, computer vision, and natural language processing, and build custom applications using common frameworks. The suite supports a wide range of AI use cases such as chatbots, AI agents, retrieval-augmented generation (RAG), summarization, image generation, real-time translation, transcription, and code development. Powered by Qualcomm Cloud AI accelerators, it ensures top performance and cost efficiency through embedded optimization techniques and state-of-the-art models. It is designed with high availability and strict data privacy in mind, ensuring that model inputs and outputs are not stored, thus providing enterprise-grade security. -
6
Synap
Linkrra LLC
Synap is a hosted inference API that gives developers an OpenAI-compatible endpoint for open-weight language models. Applications can connect through familiar OpenAI SDKs and chat-completion requests by changing the API base URL, key and model name. Its catalog includes models such as Qwen3, Qwen3-VL, Qwen3 Coder, Gemma 4 and gpt-oss-20b, with model-specific input and output token rates. Synap supports streaming and tool calling, and applies zero data retention to requests. Developers can use prepaid credits that do not expire, monthly plans, or pay-per-call USDC payments through x402. The service is designed for software developers, AI application builders and teams integrating model inference into applications and agent workflows.Starting Price: $0.0675/1M input tokens -
7
Heabsy
Heabsy
OpenAI- and Anthropic-compatible inference API from an EU company. The flagship model runs on dedicated GPUs in EIA data centres with zero data retention: prompts and completions are processed in memory only, not stored, not logged, not used for training. Routed open models from third-party providers are available with the same key and clearly labelled. One DPA and one invoice from an EU company. Features: streaming, tool calling, structured output, public DPA and sub-processor list, per-token pricing. Measured on the live system in August 2026: 176 tokens per second per stream, first token in 0.3 seconds.Starting Price: $0.04 per 1M input tokens -
8
Snowflake Cortex AI
Snowflake
Snowflake Cortex AI is a fully managed, serverless platform that enables organizations to analyze unstructured data and build generative AI applications within the Snowflake ecosystem. It offers access to industry-leading large language models (LLMs) such as Meta's Llama 3 and 4, Mistral, and Reka-Core, facilitating tasks like text summarization, sentiment analysis, translation, and question answering. Cortex AI supports Retrieval-Augmented Generation (RAG) and text-to-SQL functionalities, allowing users to query structured and unstructured data seamlessly. Key features include Cortex Analyst, which enables business users to interact with data using natural language; Cortex Search, a hybrid vector and keyword search engine for document retrieval; and Cortex Fine-Tuning, which allows customization of LLMs for specific use cases.Starting Price: $2 per month -
9
Sufy MaaS
Superstify Technology
Sufy MaaS is a hosted API service for accessing large language and generative media models from one platform. It offers model access to developers and businesses building applications that use text, image, and video models. Customers make requests through an API and can use existing OpenAI- or Anthropic-compatible SDK code by changing the endpoint and API key. Requests are billed by model and usage, with token-based rates for text models and separate billing units for some image and video services. Sufy provides an evaluation allowance of 100 million text-model tokens for 30 days per company. The service supports model experimentation, application integration, and production inference workflows; rates, availability, and capabilities vary by model. -
10
Amazon Bedrock
Amazon
Amazon Bedrock is a fully managed service that simplifies building and scaling generative AI applications by providing access to a variety of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself. Through a single API, developers can experiment with these models, customize them using techniques like fine-tuning and Retrieval Augmented Generation (RAG), and create agents that interact with enterprise systems and data sources. As a serverless platform, Amazon Bedrock eliminates the need for infrastructure management, allowing seamless integration of generative AI capabilities into applications with a focus on security, privacy, and responsible AI practices. -
11
Nextbit Inference
NEXTBIT 256, S.L.
Nextbit Inference hosts open-weight AI models behind API endpoints compatible with OpenAI and Anthropic request formats. Developers can select from a model catalog and invoke models through established client libraries, with token-based pricing. Service options include shared serverless inference and dedicated single-tenant endpoints with reserved capacity. Nextbit also offers model fine-tuning and deployment for fine-tuned or customer-provided models. It serves AI and machine-learning engineers building applications, agents, and production inference workflows. Customers can choose EU or global endpoints, and dedicated deployments can be configured for data-location or infrastructure needs. The API fits existing development workflows, while serverless inference lets customers access GPU-backed model serving without operating the underlying inference infrastructure.Starting Price: $0.075/1M input tokens -
12
troveGEN
Intellara Technologies
troveGEN is a retrieval-augmented generation (RAG) and document-search platform for teams building AI products and organizations that need governed access to internal information. It ingests files, scanned documents, web pages and connected sources, then parses, OCRs, chunks, indexes and retrieves relevant passages with hybrid search, reranking, filters and access controls. Applications and AI agents can use its REST API, TypeScript SDK or Model Context Protocol server to search content and receive source-linked results; optional answer generation supports cited responses. Customers can use managed hosting or connect their own vector database, models and content sources, including air-gapped deployments. Use cases include internal knowledge search, customer support, technical documentation, and document workflows across finance, healthcare, legal and government.Starting Price: $25/month -
13
Voyage AI
MongoDB
Voyage AI provides best-in-class embedding models and rerankers designed to supercharge search and retrieval for unstructured data. Its technology powers high-quality Retrieval-Augmented Generation (RAG) by improving how relevant context is retrieved before responses are generated. Voyage AI offers general-purpose, domain-specific, and company-specific models to support a wide range of use cases. The models are optimized for accuracy, low latency, and reduced costs through shorter vector dimensions. With long-context support of up to 32K tokens, Voyage AI enables deeper understanding of complex documents. The platform is modular and integrates easily with any vector database or large language model. Voyage AI is trusted by industry leaders to deliver reliable, factual AI outputs at scale. -
14
UberLLM
AL Global LLC
UberLLM is a hosted API marketplace and routing layer for developers seeking text, image, video, music, and speech models through one API key. It accepts OpenAI- and Anthropic-compatible request formats, so supported SDKs, coding agents, and applications can connect by changing the API base URL and key. Clients select models from a catalog, while UberLLM routes requests to third-party providers or sellers and records usage and cost in a dashboard. Sellers set offers for model capacity, and routing can consider price, response speed, availability, and account settings; failed requests are not billed. Usage is prepaid, with model-specific charges rather than a subscription. Developers can add generative AI to applications, compare or switch models, and access image, video, and audio generation or processing endpoints. UberLLM does not host the underlying models; providers serve requests.Starting Price: Pay as you go -
15
Grokified
DEEPORAX AI
Grokified is a cloud-based, OpenAI-compatible API gateway for accessing Grok models through a single API endpoint. Developers and AI engineers can use it for chat and coding-agent workloads, and for supported image, video, voice, and tool-based requests. It provides API keys, model selection, streaming, function calling, usage and cost tracking, and prepaid balance management. OpenAI SDK clients and compatible editors and coding agents can connect by configuring the Grokified base URL and credentials; a companion CLI can configure supported agents. Requests draw down prepaid credits, with published usage rates discounted from standard prices.Starting Price: $4.99/month -
16
GPT-Realtime-2.1
OpenAI
GPT-Realtime-2.1 is OpenAI’s reasoning model with tool use for low-latency voice agents and complex speech-to-speech workflows. It updates GPT-Realtime-2 with improved alphanumeric recognition, silence and noise handling, and interruption behavior, helping applications understand spoken code, manage imperfect audio, and respond more naturally when users pause or talk over the agent. Developers can configure reasoning effort to balance deeper thinking against latency and output usage, while strong instruction following helps the model stay aligned with a defined role, tone, and workflow. It accepts and produces both audio and text, can take images as input, and supports function calling so an agent can retrieve information or perform actions during a conversation. The model has a 128,000-token context window, supports up to 32,000 output tokens, and includes reasoning-token support for extended interactions.Starting Price: $0.40 per cached input -
17
Sup AI
Sup AI
Sup AI is a multi-LLM platform that merges outputs from several top large language models, such as GPT, Claude, Llama, and more, to generate richer, more accurate, and better-validated answers than any single model could provide. It applies real-time “logprob confidence scoring,” analyzing each token’s probability to detect uncertainty or hallucination; when a model’s confidence falls below a threshold, the response is halted, helping ensure that delivered answers remain high-quality and trustworthy. Sup’s “multi-model fusion” then compares, contrasts, and consolidates outputs from different models, cross-verifying and synthesizing the best parts into a final result. Sup also supports “multimodal RAG” (retrieval-augmented generation) to incorporate external data (text, PDFs, images) into context-aware responses, giving the AI access to factual sources and helping it “never forget” relevant information.Starting Price: $20 per month -
18
Vynaris
Vynaris
Vynaris gives teams powerful hosted uncensored models for authorized security testing, red-teaming, and research. Qwen3.8-27B, DeepSeek-V4-Flash-0731, and Qwen3.6-35B-A3B are available through an OpenAI-compatible API with published token rates and no prompt or output retention for these hosted models. Vynaris also routes requests across a broader model catalog and shows transparent per-request cost receipts, so applications can switch with a base URL change and inspect the cost of individual requests.Starting Price: $5 minimum credit top-up -
19
LunaRoute
LunaRoute
LunaRoute is a hosted AI inference gateway and API for developers and teams running coding agents, personal agents, applications, and automations. It routes requests to a curated catalog of open-weight models through OpenAI-compatible and Anthropic-compatible endpoints, with a command-line client and setup guides for connecting coding tools and agent frameworks. Plans provide priority concurrent inference capacity, overflow handling, model access, API keys, usage reporting, and team controls depending on the plan. An optional hosted MCP server provides web search, document conversion with OCR, and image generation and editing. Enterprise offerings add dedicated deployment options, custom routing, and policy controls. LunaRoute is intended for software developers and engineering teams seeking a managed way to connect existing AI clients to model inference.Starting Price: $19.99/month -
20
condense.chat
condense.chat
condense.chat is an LLM input compression API and drop-in proxy that shrinks prompts, retrieved documents, tool outputs, and repeated agent context before they hit upstream models. Less context, same Claude Code; its harness intercepts an agent’s growing session history and passes it through compression models before it reaches the main model, helping long-running coding agents start each next turn with fewer tokens. Condense sits between an app and the upstream LLM provider, tracks the conversation as a content-addressed chain, and transparently compresses repeated context on the way upstream. Developers can point their SDK at the Condense provider route, add a Condense key, keep their existing provider key, and change nothing else. It supports Anthropic and OpenAI-compatible routes, plus pass-through behavior for other provider paths such as model lists and embeddings. -
21
Scorable
Scorable
Scorable is an AI evaluation and monitoring platform designed to help developers measure, control, and improve the behavior of applications built with large language models. It enables teams to create customized automated evaluators, sometimes referred to as AI “judges”, that assess how an AI system responds to users and whether its outputs meet defined quality standards such as accuracy, relevance, helpfulness, tone, and policy compliance. Developers can describe what they want to measure in plain language, and the platform generates a tailored evaluation stack that tests AI outputs against context-specific criteria rather than generic benchmarks. These evaluators can be embedded directly into application code, allowing AI systems such as chatbots, retrieval-augmented generation (RAG) systems, or autonomous agents to be continuously monitored in production environments.Starting Price: $19 per month -
22
AnyAPI
AnyAPI.ai
AnyAPI is a unified API platform that provides instant access to the world’s leading AI models through a single integration. It allows developers to connect to models from OpenAI, Anthropic, Google, xAI, Mistral, and more using one consistent request format. With minimal setup, teams can power applications with advanced AI in minutes. AnyAPI supports multiple programming languages and works seamlessly with existing tech stacks. Built for performance, the platform delivers low latency, high uptime, and enterprise-grade reliability. Developers can experiment with models using an AI playground before deploying to production. AnyAPI simplifies AI integration so teams can focus on building, not infrastructure.Starting Price: $19.9/month -
23
Oracle AI Agent Platform
Oracle
Oracle AI Agent Platform is a fully-managed service that enables the creation, deployment, and management of intelligent virtual agents powered by large language models and integrated AI technologies. Agents can be set up through a simple few-step process, and can orchestrate tools such as natural‐language-to‐SQL conversion, retrieval-augmented generation from enterprise knowledge bases, custom function or API calling, and even the ability to coordinate sub-agents. They support multi-turn conversational experiences with context retention across sessions, enabling agents to handle follow‐up questions and maintain personalised, consistent interactions. Built-in guardrails help enforce content moderation, prompt-injection prevention, and protection of PII (personally identifiable information), while optional human-in-the-loop workflows allow real-time supervision and escalation.Starting Price: $0.003 per 10,000 transactions -
24
UncensoredLLM
Uplink Switch LLC
UncensoredLLM is a hosted, OpenAI-compatible API gateway for uncensored, abliterated, derestricted, and roleplay-tuned language models. Developers can select models by ID and connect from code or compatible chat, writing, and coding clients using a base URL and API key. The catalog includes builds from model families such as DeepSeek, GLM, Qwen, Gemma, Kimi, and Llama, with separate input and output token rates. The same key also provides access to image- and video-generation endpoints, billed per image or video second. Usage is deducted from a prepaid balance, and a browser playground offers a limited number of free daily turns on selected models. Public model pages show catalog details and prices, and each model receives a daily fixed-prompt check that compares reported input-token counts.Starting Price: $10 one-time -
25
Cohere Embed
Cohere
Cohere's Embed is a leading multimodal embedding platform designed to transform text, images, or a combination of both into high-quality vector representations. These embeddings are optimized for semantic search, retrieval-augmented generation, classification, clustering, and agentic AI applications. The latest model, embed-v4.0, supports mixed-modality inputs, allowing users to combine text and images into a single embedding. It offers Matryoshka embeddings with configurable dimensions of 256, 512, 1024, or 1536, enabling flexibility in balancing performance and resource usage. With a context length of up to 128,000 tokens, embed-v4.0 is well-suited for processing large documents and complex data structures. It also supports compressed embedding types, including float, int8, uint8, binary, and ubinary, facilitating efficient storage and faster retrieval in vector databases. Multilingual support spans over 100 languages, making it a versatile tool for global applications.Starting Price: $0.47 per image -
26
MiniMax
MiniMax AI
MiniMax is a global AI technology company that develops advanced multimodal foundation models and AI-powered products for individuals, developers, and enterprises. Its flagship model, MiniMax M3, combines frontier-level coding capabilities, agentic task execution, native multimodal understanding, and support for up to 1 million tokens of context through its proprietary MiniMax Sparse Attention (MSA) architecture. The company offers a comprehensive ecosystem that includes coding assistants, AI agents, video generation, speech synthesis, music generation, and developer APIs. Through products such as MiniMax Code, Hailuo AI, MiniMax Audio, Talkie, and its enterprise platform, users can automate workflows, generate content, build applications, and deploy AI-powered solutions at scale. MiniMax helps organizations and developers improve productivity, accelerate software development, and create intelligent experiences across text, audio, image, video, and music. -
27
Cohere Compass
Cohere AI
Cohere Compass is an intelligent enterprise search and discovery system that connects agents and models to business data, giving AI applications the context they need through powerful search and retrieval. It uses advanced extraction processes and AI-powered indexing to surface relevant information from enterprise documents with high accuracy. Compass is multimodal, multilingual, and format-agnostic, allowing it to understand images, slides, spreadsheets, PDFs, DOCX files, XLSX files, and other document types. It can connect to existing data sources or accept local document uploads, then automatically process, index, and manage that information without requiring teams to host or scale their own vector database. It is built on Cohere’s Embed and Rerank retrieval models and can support AI agents, retrieval-augmented generation applications, and unified enterprise knowledge search. -
28
Edgee
Edgee
Edgee is an AI gateway that sits between your application and large language model providers, acting as an edge intelligence layer that compresses prompts before they reach the model to reduce token usage, lower costs, and improve latency without changing your existing code. Applications call Edgee through a single OpenAI-compatible API, and Edgee applies edge-level policies such as intelligent token compression, routing, privacy controls, retries, caching, and cost governance before forwarding requests to the selected provider, including OpenAI, Anthropic, Gemini, xAI, and Mistral. Its token compression engine removes redundant input tokens while preserving semantic intent and context, achieving up to 50% input token reduction, which is especially valuable for long contexts, RAG pipelines, and multi-turn agents. Edgee enables tagging requests with custom metadata to track usage and spending by feature, team, project, or environment, and provides cost alerts when spending spikes.Starting Price: Free -
29
Progress Agentic RAG
Progress Software
Progress Agentic RAG is a SaaS Retrieval-Augmented Generation platform that automatically indexes, searches, and generates AI-powered insights from structured and unstructured business data, including documents, emails, video, slides, and more, by combining RAG with agentic workflows that reason, classify, summarize, and answer queries with traceable, verifiable results without requiring users to build and manage their own RAG infrastructure. Designed as a modular no-code RAG-as-a-Service solution, it accelerates AI readiness by letting organizations extract contextual intelligence and business knowledge using natural language queries and quality-driven output metrics while integrating with any leading Large Language Model (LLM) and supporting multilingual, multimodal content indexing and retrieval. Features include AI summarization and classification, generated Q&A from enterprise data, a Prompt Lab for validating LLM behavior with custom prompts.Starting Price: $700 per month -
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Ultramarine 1 Flash
Paper Instruments
Ultramarine 1 Flash is a hosted large language model offered through an API for developers and organizations building AI-assisted professional workflows. It is designed for knowledge-work tasks across areas such as finance, law, consulting, and operations, including research, analysis, and preparation of document-based deliverables. Applications can send prompts and receive streamed or standard responses, use reasoning controls and custom tool calls, and request structured output. The API accepts image inputs and supports OpenAI-compatible chat-completion and Responses formats, as well as Anthropic Messages-compatible requests. Developers can connect through the OpenAI or Anthropic SDKs, Claude Agent SDK, or Claude Code, and can use the model with Paper Instruments' Word, PowerPoint, and Excel libraries. Usage is billed by tokens against a prepaid balance.Starting Price: $0.15/1M input tokens -
31
Gemini Embedding 2
Google
Gemini Embedding models, including the newer Gemini Embedding 2, are part of Google’s Gemini AI ecosystem and are designed to convert text, phrases, sentences, and code into numerical vector representations that capture their semantic meaning. Unlike generative models that produce new content, the embedding model transforms input data into dense vectors that represent meaning in a mathematical format, allowing computers to compare and analyze information based on conceptual similarity rather than exact wording. These embeddings enable applications such as semantic search, recommendation systems, document retrieval, clustering, classification, and retrieval-augmented generation pipelines. The model can process input in more than 100 languages and supports up to 2048 tokens per request, allowing it to embed longer pieces of text or code while maintaining strong contextual understanding.Starting Price: Free -
32
SenseLab
SenseLab
SenseLab is a cloud-based memory and learning layer for AI agents and agent-driven applications. It provides shared knowledge spaces (“Rooms”) where agents and teams can record, retrieve, and share context across sessions, models, and tools. Agents can store findings, decision context, and outcomes; the service maintains versioned records and uses outcome feedback to adjust confidence in knowledge. SenseLab provides an MCP server and Python and TypeScript SDKs for connecting agent clients and applications through API-key access. Teams can use it to carry context between agents, coordinate work, review decision histories, and retain structured traces for evaluation or model-training workflows. It is intended for developers and organizations building systems with multiple AI agents. The vendor also documents a self-hosting option through its open-source codebase.Starting Price: $29/month -
33
Waterfall
Waterfall
Waterfall is a credit infrastructure for platforms building on large language models, designed to turn AI usage into a business model without requiring teams to build their own billing stack. It gives each user, agent, or team a stablecoin-backed credit wallet, then meters every model call by provider, model, token count, and cost. Requests can be routed through the Waterfall Gateway or integrated through TypeScript and Python SDKs, with usage attributed to the correct wallet in real time. Each API call settles atomically against the wallet as it happens, so credits decrease, and revenue is recognized per request instead of through delayed invoices and manual reconciliation. Waterfall supports more than 300 models across providers such as OpenAI, Anthropic, DeepSeek, and xAI, allowing products to use multiple AI services while maintaining one accounting layer.Starting Price: $20 per month -
34
Jina Reranker
Jina
Jina Reranker v2 is a state-of-the-art reranker designed for Agentic Retrieval-Augmented Generation (RAG) systems. It enhances search relevance and RAG accuracy by reordering search results based on deeper semantic understanding. It supports over 100 languages, enabling multilingual retrieval regardless of the query language. It is optimized for function-calling and code search, making it ideal for applications requiring precise function signatures and code snippet retrieval. Jina Reranker v2 also excels in ranking structured data, such as tables, by understanding the downstream intent to query structured databases like MySQL or MongoDB. With a 6x speedup over its predecessor, it offers ultra-fast inference, processing documents in milliseconds. The model is available via Jina's Reranker API and can be integrated into existing applications using platforms like Langchain and LlamaIndex. -
35
Parallel
Parallel
The Parallel Search API is a web-search tool engineered specifically for AI agents, designed from the ground up to provide the most information-dense, token-efficient context for large-language models and automated workflows. Unlike traditional search engines optimized for human browsing, this API supports declarative semantic objectives, allowing agents to specify what they want rather than merely keywords. It returns ranked URLs and compressed excerpts tailored for model context windows, enabling higher accuracy, fewer search steps, and lower token cost per result. Its infrastructure includes a proprietary crawler, live-index updates, freshness policies, domain-filtering controls, and SOC 2 Type 2 security compliance. The API is built to fit seamlessly within agent workflows: developers can control parameters like maximum characters per result, select custom processors, adjust output size, and orchestrate retrieval directly into AI reasoning pipelines.Starting Price: $5 per 1,000 requests -
36
EverOS
EverMind
EverOS is a persistent memory infrastructure platform for AI agents that provides long-term, multimodal, cross-platform context across agent workflows. The system retrieves relevant memories before model calls, allowing agents to reuse prior context without repeatedly loading large histories into the prompt window. EverOS also includes self-evolving skills, which capture successful execution trajectories as cases and promote recurring patterns into reusable procedural knowledge. The platform can ingest PDFs, images, documents, spreadsheets, slides, Markdown, and URLs and convert them into searchable memory for inference-time retrieval. It supports cloud and self-hosted deployment, exports memories in Markdown, and integrates with tools such as Claude Code, Codex, OpenClaw, Hermes, MCP, and OpenAI- or Anthropic-compatible SDKs. EverOS achieves 93.05% on the LoCoMo long-term memory benchmark (research: arXiv:2601.02163).Starting Price: Free -
37
Second Me
Second Me
Second Me is the first open-source AI identity system that delivers 100% private, deeply personalized AI agents built specifically to represent your authentic self. It doesn't just learn your preferences, it comprehends your unique thinking patterns, represents you across different contexts, forms collaborative networks with other Second Mes, and creates new value in the emerging agent economy. Second Me features Hierarchical Memory Modeling (HMM), a three-layer structure that enables your AI self to rapidly recognize patterns, adapt, and evolve alongside you. Its Personalized Alignment Architecture (Me-alignment) transforms your scattered data into deep personalized understanding, outperforming leading retrieval-augmented generation models by 37% in user understanding. Operating with 100% privacy, Second Me can run locally, ensuring you retain complete control over your personal data, sharing it only with your explicit permission. -
38
Amazon Nova Sonic
Amazon
Amazon Nova Sonic is a state-of-the-art speech-to-speech model that delivers real-time, human-like voice conversations with industry-leading price performance. It unifies speech understanding and generation into a single model, enabling developers to create natural, expressive conversational AI experiences with low latency. Nova Sonic adapts its responses based on the prosody of input speech, such as pace and timbre, resulting in more natural dialogue. It supports function calling and agentic workflows to interact with external services and APIs, including knowledge grounding with enterprise data using Retrieval-Augmented Generation (RAG). It provides robust speech understanding for American and British English across various speaking styles and acoustic conditions, with additional languages coming soon. Nova Sonic handles user interruptions gracefully without dropping conversational context and is robust to background noise. -
39
Langflow
Langflow
Langflow is a low-code AI builder designed to create agentic and retrieval-augmented generation applications. It offers a visual interface that allows developers to construct complex AI workflows through drag-and-drop components, facilitating rapid experimentation and prototyping. The platform is Python-based and agnostic to any model, API, or database, enabling seamless integration with various tools and stacks. Langflow supports the development of intelligent chatbots, document analysis systems, and multi-agent applications. It provides features such as dynamic input variables, fine-tuning capabilities, and the ability to create custom components. Additionally, Langflow integrates with numerous services, including Cohere, Bing, Anthropic, HuggingFace, OpenAI, and Pinecone, among others. Developers can utilize pre-built components or code their own, enhancing flexibility in AI application development. The platform also offers a free cloud service for quick deployment and test -
40
Command A Reasoning
Cohere AI
Command A Reasoning is Cohere’s most advanced enterprise-ready language model, engineered for high-stakes reasoning tasks and seamless integration into AI agent workflows. The model delivers exceptional reasoning performance, efficiency, and controllability, scaling across multi-GPU setups with support for up to 256,000-token context windows, ideal for handling long documents and multi-step agentic tasks. Organizations can fine-tune output precision and latency through a token budget, allowing a single model to flexibly serve both high-accuracy and high-throughput use cases. It powers Cohere’s North platform with leading benchmark performance and excels in multilingual contexts across 23 languages. Designed with enterprise safety in mind, it balances helpfulness with robust safeguards against harmful outputs. A lightweight deployment option allows running the model securely on a single H100 or A100 GPU, simplifying private, scalable use. -
41
SambaNova
SambaNova Systems
SambaNova is the leading purpose-built AI system for generative and agentic AI implementations, from chips to models, that gives enterprises full control over their model and private data. We take the best models, optimize them for fast tokens and higher batch sizes, the largest inputs and enable customizations to deliver value with simplicity. The full suite includes the SambaNova DataScale system, the SambaStudio software, and the innovative SambaNova Composition of Experts (CoE) model architecture. These components combine into a powerful platform that delivers unparalleled performance, ease of use, accuracy, data privacy, and the ability to power every use case across the world's largest organizations. We give our customers the optionality to experience through the cloud or on-premise. -
42
Pokee-Isaac
Pokee AI
Pokee-Isaac text-only agentic model with a usable context window of up to 10 million tokens. It is designed to reason, plan, call tools, and execute long-horizon tasks while remaining small enough to deploy inside a VPC, on customer premises, on a workstation, or on-device. Pokee reports that Isaac maintains strong long-context performance across RULER from 256K through 10M tokens and leads the evaluated panel on multi-needle retrieval at 256K, 512K, and 1M. Its agentic architecture is built for deterministic function calling, sustained multi-turn coherence, real-shell execution, and discovering and composing tools across live MCP servers. In Pokee’s controlled benchmarks, Isaac ranked first on BFCL v4 and τ³-bench, second on the Terminal-Bench 2.1 text-only subset, and third on MCP-Atlas. Security testing with DTAP also showed the lowest combined attack success rate in the comparison panel while retaining strong benign-task performance.Starting Price: $0.15 per 1M tokens -
43
Box Extract
Box
Box Extract is an AI-powered data extraction solution that intelligently identifies, retrieves, and converts structured information from unstructured content such as documents, spreadsheets, PDFs, images, and other file types into metadata that can be stored, searched, and used to automate business processes. It combines advanced large language models, integrated OCR, chain-of-thought prompting, extraction-specific retrieval-augmented generation, and agentic reasoning techniques to understand document meaning and structure with high accuracy, without requiring custom model training or heavy configuration. Users can choose between Standard and Enhanced Extract Agents, handling everything from basic fields like names, dates, and amounts to complex items such as risky clauses, tables, and graphs, and build Custom Extract Agents with configurable metadata templates that run at scale across folders and repositories. -
44
Deep Infra
Deep Infra
Powerful, self-serve machine learning platform where you can turn models into scalable APIs in just a few clicks. Sign up for Deep Infra account using GitHub or log in using GitHub. Choose among hundreds of the most popular ML models. Use a simple rest API to call your model. Deploy models to production faster and cheaper with our serverless GPUs than developing the infrastructure yourself. We have different pricing models depending on the model used. Some of our language models offer per-token pricing. Most other models are billed for inference execution time. With this pricing model, you only pay for what you use. There are no long-term contracts or upfront costs, and you can easily scale up and down as your business needs change. All models run on A100 GPUs, optimized for inference performance and low latency. Our system will automatically scale the model based on your needs.Starting Price: $0.70 per 1M input tokens -
45
Puffle
DevelopIQ
Puffle is a web-based AI coworker designed to help teams delegate and complete work through Slack and email. Users can describe tasks in natural language and connect Puffle to work tools, enabling the agent to retrieve context and take actions across those services. The product includes persistent memory for retaining useful information and a dedicated computing environment in which the agent can work. Puffle provides built-in integrations and supports connections to custom MCP servers, allowing teams to configure additional tools. Its official materials list integrations such as GitHub, Linear, Notion, Vercel, Gmail, Google Drive, Google Calendar, and Slack. Puffle is aimed at organizations seeking an AI agent for recurring operational tasks and cross-tool work. Available actions depend on enabled integrations and configured access. -
46
Reflexio
Reflexio
Reflexio is an AI-agent learning platform for developers building and operating agents. It ingests agent interactions, execution traces, tool calls, and user corrections through an SDK, REST API, CLI, or supported tracing-platform connections, then extracts recurring failures into reusable playbooks and user profiles. At runtime, an agent can retrieve relevant learned guidance before responding. The Hosted Enterprise portal lets teams inspect, edit, approve, reject, search, and evaluate learnings. Reflexio helps agents apply corrections across interactions without changing model weights. Teams can use the managed cloud service, configure their own model-provider keys, or self-host in AWS, Google Cloud, or Azure. Enterprise trace imports are available from Braintrust, Langfuse Cloud, and LangSmith Cloud; Reflexio also provides a mem0 wrapper and an OpenClaw integration.Starting Price: $0/month -
47
Byne
Byne
Retrieval-augmented generation, agents, and more start building in the cloud and deploying on your server. We charge a flat fee per request. There are two types of requests: document indexation and generation. Document indexation is the addition of a document to your knowledge base. Document indexation, which is the addition of a document to your knowledge base and generation, which creates LLM writing based on your knowledge base RAG. Build a RAG workflow by deploying off-the-shelf components and prototype a system that works for your case. We support many auxiliary features, including reverse tracing of output to documents, and ingestion for many file formats. Enable the LLM to use tools by leveraging Agents. An Agent-powered system can decide which data it needs and search for it. Our implementation of agents provides a simple hosting for execution layers and pre-build agents for many use cases.Starting Price: 2¢ per generation request -
48
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 -
49
MiniMax M3.1 Flash
MiniMax
MiniMax M3.1 Flash is a hosted large language model for developers building coding assistants, AI agents, and software applications. Available through MiniMax’s API and MiniMax Code, it accepts text, image, and video input and generates text responses. Documented uses include code generation and debugging, multi-step reasoning, tool use, codebase and document analysis, and computer-use workflows. The API offers a context window of up to 1 million tokens, adjustable reasoning effort, and OpenAI-compatible and Anthropic-compatible request formats. Usage is billed by input, output, and cached-input tokens. MiniMax provides documentation for API integration and model use. M3.1 Flash is available through the hosted API, M Plan, and MiniMax Code; model weights are planned for a later release.Starting Price: $0.15/1M input tokens -
50
OpenHarness
OpenHarness
OpenHarness is an open-source TypeScript SDK for developers building custom AI-agent applications, including coding agents, CLI tools, and web-based assistants. It provides stateless agent execution, explicit conversation-state handling, streaming events, composable middleware for retries, persistence and context compaction, hierarchical subagents, and permission-controlled tools. Developers can connect model providers through the Vercel AI SDK, add external capabilities through Model Context Protocol (MCP), and use filesystem or shell tools through configurable providers. The SDK also offers React hooks and Vue composables for streaming agent output into application interfaces. OpenHarness is installed as an npm package and is intended to be embedded in projects running on Node.js or edge runtimes; it is a developer library rather than a hosted end-user agent service.
