Business Software for Python - Page 46
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Automata LINQ
Automata
LINQ is a fully integrated lab automation platform that empowers teams to build, run, and manage automated workcells and workflows with unmatched power and simplicity. Users can build workcells tailored to their needs using the modular hardware platform (LINQ Bench) that supports any instrument, fits any space, and scales without limitation. They can then develop workflows quickly and easily through a node-based workflow canvas or a fully featured Python SDK, enabling both no-code drag-and-drop workflow creation and code-based customization, simulation, testing, and iteration. With LINQ, you can start and manage runs using the intuitive run manager, monitor and control workcells remotely from anywhere, and benefit from robust error-handling and centralized management of multiple workcells through its cloud-native architecture. -
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Gemini 3 Deep Think
Google
The most advanced model from Google DeepMind, Gemini 3, sets a new bar for model intelligence by delivering state-of-the-art reasoning and multimodal understanding across text, image, and video. It surpasses its predecessor on key AI benchmarks and excels at deeper problems such as scientific reasoning, complex coding, spatial logic, and visual-/video-based understanding. The new “Deep Think” mode pushes the boundaries even further, offering enhanced reasoning for very challenging tasks, outperforming Gemini 3 Pro on benchmarks like Humanity’s Last Exam and ARC-AGI. Gemini 3 is now available across Google’s ecosystem, enabling users to learn, build, and plan at new levels of sophistication. With context windows up to one million tokens, more granular media-processing options, and specialized configurations for tool use, the model brings better precision, depth, and flexibility for real-world workflows. -
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Neurotechnology AI SDK
Neurotechnology
Neurotechnology AI SDK is a multilingual toolkit for creating speech-to-text and voice processing applications. It combines a proprietary ASR engine for accurate transcription with a Speaker Diarization engine that separates and labels individual speakers in an audio stream. Supporting English, Lithuanian, Latvian and Estonian, it delivers fast performance on CPUs and GPUs for real-time or batch processing. Designed for on-premises use, all audio is processed locally, ensuring full data privacy and control. Its modular architecture lets developers use each component independently or integrate them into stand-alone or client-server systems. Optional speaker recognition through voice biometrics can be added for stronger identity confirmation. The SDK supports Windows and Linux and provides native libraries for Python, C++, Java and .NET, making it suitable for transcription workflows, analytics platforms or voice-driven applications across a wide range of industries.Starting Price: €2500 -
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Cegal Prizm
Cegal
Cegal Prizm is a modular solution designed to allow easy integration of data from different geo-applications, data sources and platforms into a Python environment. The modules allow you to combine geo-data sources for advanced analysis, visualization, data-science workflows, and machine-learning techniques. You can begin to solve problems that were not previously possible with legacy applications. Integrate modern Python technologies to extend, accelerate and augment standard workflows; create and securely distribute customized code, services and technology to a user community for consumption. Connect into the E&P software platform Petrel, OSDU, and other third-party applications and domains to access and retrieve energy data. Seamlessly transfer data locally or across hybrid and cloud deployments to a common Python environment to generate more insight and value. Prizm allows you to enrich datasets with additional application metadata to add more value and context to your analysis. -
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AMD Developer Cloud provides developers and open-source contributors with immediate access to high-performance AMD Instinct MI300X GPUs through a cloud interface, offering a pre-configured environment with Docker containers, Jupyter notebooks, and no local setup required. Developers can run AI, machine-learning, and high-performance-computing workloads on either a small configuration (1 GPU with 192 GB GPU memory, 20 vCPUs, 240 GB system memory, 5 TB NVMe) or a large configuration (8 GPUs, 1536 GB GPU memory, 160 vCPUs, 1920 GB system memory, 40 TB NVMe scratch disk). It supports pay-as-you-go access via linked payment method and offers complimentary hours (e.g., 25 initial hours for eligible developers) to help prototype on the hardware. Users retain ownership of their work and can upload code, data, and software without giving up rights.
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Dive
Dive
Dive CAE is a cloud-native computational fluid dynamics software platform that enables engineers to simulate complex fluid behaviors, such as free-surface flow, multiphase interactions, heat transfer, and moving machinery, using a mesh-free Smoothed Particle Hydrodynamics method. It runs entirely in the browser and on high-performance computing infrastructure, so users don’t need local hardware or installation. The mesh-free approach allows for modeling of complex geometry, surface tension, non-Newtonian fluids, and transient flows without the time-consuming meshing and tuning required by conventional CFD. Onboarding is fast (typically under one day), and the software supports parallel design-of-experiment workflows that deliver multiple iterations in hours rather than days. Dive CAE emphasizes collaboration, license simplicity (one licence for all users), transparent cost control, data usage governance, and scalability via cloud infrastructure. -
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Claude Opus 4.5
Anthropic
Claude Opus 4.5 is Anthropic’s newest flagship model, delivering major improvements in reasoning, coding, agentic workflows, and real-world problem solving. It outperforms previous models and leading competitors on benchmarks such as SWE-bench, multilingual coding tests, and advanced agent evaluations. Opus 4.5 also introduces stronger safety features, including significantly higher resistance to prompt injection and improved alignment across sensitive tasks. Developers gain new controls through the Claude API—like effort parameters, context compaction, and advanced tool use—allowing for more efficient, longer-running agentic workflows. Product updates across Claude, Claude Code, the Chrome extension, and Excel integrations expand how users interact with the model for software engineering, research, and everyday productivity. Overall, Claude Opus 4.5 marks a substantial step forward in capability, reliability, and usability for developers, enterprises, and end users. -
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Parallel Domain Replica Sim
Parallel Domain
Parallel Domain Replica Sim enables the creation of high-fidelity, fully annotated, simulation-ready environments from users’ own captured data (photos, videos, scans). With PD Replica, you can generate near-pixel-perfect reconstructions of real-world scenes, transforming them into virtual environments that preserve visual detail and realism. PD Sim provides a Python API through which perception, machine learning, and autonomy teams can configure and run large-scale test scenarios and simulate sensor inputs (camera, lidar, radar, etc.) in either open- or closed-loop mode. These simulated sensor feeds come with full annotations, so developers can test their perception systems under a wide variety of conditions, lighting, weather, object configurations, and edge cases, without needing to collect real-world data for every scenario. -
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GPT-5.2
OpenAI
GPT-5.2 is the newest evolution in the GPT-5 series, engineered to deliver even greater intelligence, adaptability, and conversational depth. This release introduces enhanced model variants that refine how ChatGPT reasons, communicates, and responds to complex user intent. GPT-5.2 Instant remains the primary, high-usage model—now faster, more context-aware, and more precise in following instructions. GPT-5.2 Thinking takes advanced reasoning further, offering clearer step-by-step logic, improved consistency on multi-stage problems, and more efficient handling of long or intricate tasks. The system automatically routes each query to the most suitable variant, ensuring optimal performance without requiring user selection. Beyond raw intelligence gains, GPT-5.2 emphasizes more natural dialogue flow, stronger intent alignment, and a smoother, more humanlike communication style. -
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SMART TS XL
IN-COM Data Systems
SMART TS XL is an enterprise-grade application discovery and “software intelligence” platform that enables organizations to search, analyze, and visualize dependencies across all their codebases, regardless of platform or language. It ingests source code, database schemas, configuration files, documentation, ticketing logs, JCL, and other assets, from legacy mainframes (COBOL, JCL, PL/I, AS/400, etc.) to modern distributed environments (Java, .NET, Python, JavaScript, C++, databases, scripts, text files), and catalogs everything into a centralized, searchable repository. With patented indexing technology, SMART TS XL can process millions or even billions of lines of code and return results in seconds, allowing users to instantly locate where particular fields, error messages, modules, or logic are used enterprise-wide. It generates interactive visualizations like control-flow diagrams, cross-reference graphs, and impact-analysis maps. -
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Relevance Lab SPECTRA
Relevance Lab
SPECTRA is an AI-driven data analytics and integration platform designed to intelligently collect, harmonize, process, and move data across multiple systems so organizations can unlock business value from disparate data sources. It helps centralize data that is often spread across applications and geographies, enabling smoother functionality, faster insights, and reduced operational friction. SPECTRA supports advanced data extraction and management services, builds scalable data lakes that serve as a single source of truth, and modernizes data warehouses to improve speed, efficiency, and analytical capability. It can ingest structured and unstructured data and apply AI-enhanced analytics to help businesses derive actionable insights and improve decision-making across functions. By consolidating and standardizing data with tools such as optical character recognition and intelligent data labeling, SPECTRA accelerates analytics initiatives, enhances R&D and compliance efforts. -
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BrainWave 6
3Brain AG
BrainWave 6 is an efficient, scalable electrophysiology software designed for recording, playback, and analysis of data from single- and multi-well high-density microelectrode arrays (HD-MEAs), providing unified tools to go from acquisition to insight with streamlined automation and enhanced analytics. It supports real-time visualization of HD-MEA data across up to 24 wells with full control of experimental setup and timing, and lets users navigate recordings, review raw or processed data, and annotate events directly within the software. BrainWave 6 offers hundreds of metrics for neuronal and cardiac activity, area-based intra-well segmentation for multi-spheroid and organoid analysis, and AI-enhanced spike detection. It is scalable for high-throughput workflows, compatible with all 3Brain systems, and supports robotic automation when paired with HyperCAM Delta. Additional modules enable automated long-term potentiation protocols with real-time readouts. -
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Grok 4.1 Thinking
SpaceXAI
Grok 4.1 Thinking is xAI’s advanced reasoning-focused AI model designed for deeper analysis, reflection, and structured problem-solving. It uses explicit thinking tokens to reason through complex prompts before delivering a response, resulting in more accurate and context-aware outputs. The model excels in tasks that require multi-step logic, nuanced understanding, and thoughtful explanations. Grok 4.1 Thinking demonstrates a strong, coherent personality while maintaining analytical rigor and reliability. It has achieved the top overall ranking on the LMArena Text Leaderboard, reflecting strong human preference in blind evaluations. The model also shows leading performance in emotional intelligence and creative reasoning benchmarks. Grok 4.1 Thinking is built for users who value clarity, depth, and defensible reasoning in AI interactions. -
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GPT-5.2-Codex
OpenAI
GPT-5.2-Codex is OpenAI’s most advanced agentic coding model, built for complex, real-world software engineering and defensive cybersecurity work. It is a specialized version of GPT-5.2 optimized for long-horizon coding tasks such as large refactors, migrations, and feature development. The model maintains full context over extended sessions through native context compaction. GPT-5.2-Codex delivers state-of-the-art performance on benchmarks like SWE-Bench Pro and Terminal-Bench 2.0. It operates reliably across large repositories and native Windows environments. Stronger vision capabilities allow it to interpret screenshots, diagrams, and UI designs during development. GPT-5.2-Codex is designed to be a dependable partner for professional engineering workflows. -
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trail
trail
Trail ML is an AI governance copilot platform that helps organizations build trustworthy, compliant, and transparent AI systems by automating manual governance and documentation tasks. It centralizes AI registry, policy creation, risk management, automated documentation, development tracking, audit trails, and compliance workflows under one system, enabling teams to classify and manage all AI use cases, trace decisions from data and model to outcomes, and reduce the overhead of manual documentation and governance processes. It integrates governance frameworks and templates, supports creation of custom AI policies, and guides teams through identifying and mitigating risks, preparing for audits and standards like ISO 42001 and regulation such as the EU AI Act. Trail uses curated knowledge, risk libraries, and AI-powered automation to orchestrate governance tasks, translate regulatory requirements into actionable to-dos, and streamline collaboration between stakeholders. -
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E-ICEBLUE
E-ICEBLUE
E-iceblue provides a comprehensive suite of professional development libraries and APIs designed to enable developers to create, read, write, edit, convert, print, manipulate and view a wide range of document formats programmatically across multiple programming environments without relying on external applications like Microsoft Office or Adobe Acrobat. Its product range includes Spire.Office and individual components for .NET platforms (such as Spire.Doc, Spire.XLS, Spire.Presentation, Spire.PDF, Spire.Barcode, Spire.Email and Spire.OCR) that handle Word, Excel, PowerPoint, PDF, barcode generation and email operations in C#, VB.NET, ASP.NET, .NET Core, Xamarin and WPF applications, plus viewer libraries for embedded document display. E-iceblue also offers equivalent APIs for Java, C++, Python and JavaScript, as well as mobile and cloud libraries (including Spire.Cloud.Office with HTML5 browser support for Word and Excel), supporting document processing tasks. -
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TURBOARD
TURBOARD
TURBOARD is a comprehensive business intelligence and data analytics tool that brings scattered business data together into unified, visual dashboards and reports with an intuitive drag-and-drop interface and conversational AI assistant to make analysis fast and accessible. It lets users connect to all major data sources, automatically transform raw data into clear charts, scorecards, and key performance indicators, and explore insights using built-in AI by asking questions in natural language. TURBOARD supports advanced analytics including predictive modeling, trend tracking, SQL-based expressions, extended filtering, what-if simulations, spreadsheet-like calculations, and geospatial visualization with interactive map layers. It also offers flexible export options, conditional formatting, customizable themes, and integration capabilities for embedding dashboards into external systems. -
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LightningChart
LightningChart
LightningChart is a high-performance data visualization framework designed for building real-time, data-intensive applications. It provides GPU-accelerated charting components capable of rendering massive datasets with exceptional speed and precision. LightningChart supports modern application development across web, desktop, mobile, cloud, IoT, and embedded environments. The framework uses advanced graphics technologies such as WebGL and DirectX to ensure ultra-fast rendering and smooth user interaction. Developers can create customizable dashboards and visualizations without compromising performance. LightningChart offers extensive chart types, templates, and examples to accelerate development. Overall, it enables organizations to build visually stunning, mission-critical data visualization applications. -
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ProVision
IPv4.Global
ProVision is an API-first, multi-tenant, multi-cloud network automation software that simplifies planning, provisioning, assigning, allocating, and managing modern network infrastructure by automating DNS, DHCP, and IP address management workflows and reducing complexity at scale. It offers a unified DDI (DNS, DHCP, IPAM) solution with comprehensive IPv4 and IPv6 support, including subnet allocation and host-level assignments, advanced features such as VRF and VLAN management, and dynamic tagging, templates, and rules to handle topology-aware assignments. ProVision integrates seamlessly with existing tools and infrastructure through a rich Connector Library and REST API, enabling smooth automation across hybrid and distributed environments without requiring data migration. It includes modules for IP address management with overlapping and duplicate space support, DHCP controllers with multi-vendor integration, and DNS controllers with granular role-based permissions. -
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Qualisys Track Manager
Qualisys
Qualisys Track Manager (QTM) is a user-friendly motion capture software that serves as the central platform for capturing, processing, and managing movement data with Qualisys systems, supporting precise 2D, 3D, and 6DOF tracking of markers, rigid bodies, and skeletal models in real time with low latency. It integrates and synchronizes seamlessly with external hardware such as force plates, EMG devices, eye trackers, video, and IMUs, and it can stream data in real time to third-party applications through built-in real-time server and SDK support while also handling calibration, system setup, and trajectory editing within a single intuitive interface. QTM’s advanced motion capture algorithms and robust inverse kinematics solver handle occlusions and multi-actor scenarios, and its trajectory editor, automatic marker identification (AIM), labeling, filtering, gap filling, and measurement tools make data processing efficient. -
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Draftt
Draftt
Draftt is a proactive tech stack governance software that continuously monitors every component’s lifecycle and configuration across clouds, workloads, runtimes, and code to help teams stay ahead of technical debt and avoid unexpected end-of-life risks. It provides full-stack visibility with a unified control plane that maps all technologies, versions, dependencies, and Kubernetes clusters in one place, replacing manual audits and static spreadsheets with live inventory and context. Draftt uses secure, read-only integrations with cloud and developer tools to collect lifecycle metadata, detect version drift, and identify compatibility conflicts early. With AI-driven prioritization and impact scoring, it highlights upgrade risks based on urgency, effort, and business impact, and generates detailed remediation plans tailored to your environment. It delivers structured, step-by-step upgrade paths, prebuilt actions, and automated workflows that can be executed directly from Draftt. -
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Shadeform
Shadeform
Shadeform is a GPU cloud marketplace that provides a single platform, unified console, and API for finding, comparing, launching, and managing on-demand GPU instances across numerous cloud providers, making it easier to develop, train, and deploy AI models without juggling multiple accounts or provider interfaces. It lets users view live pricing and availability for GPUs across clouds, launch instances in either their own cloud accounts or in Shadeform-managed accounts, and manage a cross-cloud fleet from one place with standardized tooling such as curl, Python, or Terraform. It aggregates GPU capacity and pricing data so teams can optimize compute spend, deploy containerized workloads with consistent interfaces, centralize billing and account management, and avoid vendor-specific complexity by using a unified API that supports multiple providers. Shadeform also offers scheduling and automated provisioning so that users can secure resources when they become available.Starting Price: $0.15 per hour -
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NexaSDK
NexaSDK
Nexa SDK is a unified developer toolkit that lets you run and ship any AI model locally on virtually any device with support for NPUs, GPUs, and CPUs, offering seamless deployment without needing cloud connectivity; it provides a fast command-line interface, Python bindings, mobile (Android and iOS) SDKs, and Linux support so you can integrate AI into apps, IoT devices, automotive systems, and desktops with minimal setup and one line of code to run models, while also exposing an OpenAI-compatible REST API and function calling for easy integration with existing clients. Powered by the company’s custom NexaML inference engine built from the kernel up for optimal performance on every hardware stack, the SDK supports multiple model formats including GGUF, MLX, and Nexa’s proprietary format, delivers full multimodal support for text, image, and audio tasks (including embeddings, reranking, speech recognition, and text-to-speech), and prioritizes Day-0 support for the latest architectures. -
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EasyOCR
EURESYS
Euresys EasyOCR is an optical character recognition software library within the Open eVision suite that provides teachable, template-based printed text recognition designed to read short text such as part numbers, serial numbers, expiry dates, manufacturing dates, and lot codes from images or parts in machine vision applications; it uses a font-dependent template matching algorithm that can be trained with custom character examples and comes with pre-defined fonts, enabling reliable recognition even when characters vary in size, are poorly printed, broken, or connected, and supports separation of adjacent text elements in challenging conditions. It is size-invariant and rapid, and can be trained on sample images to build a character database (font) that improves recognition performance for specific industrial text styles. EasyOCR is typically embedded into vision inspection systems via the Open eVision API. -
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ContextForge MCP Gateway is an open source Model Context Protocol (MCP) gateway, registry, and proxy platform that provides a unified endpoint for AI clients to discover and access tools, resources, prompts, and REST or MCP services in complex AI ecosystems. It sits in front of multiple MCP servers and REST APIs to federate and unify discovery, authentication, rate-limiting, observability, and traffic routing across diverse backends, with support for transports such as HTTP, JSON-RPC, WebSocket, SSE, stdio, and streamable HTTP, and can virtualize legacy APIs as MCP-compliant tools. It includes an optional Admin UI for real-time configuration, monitoring, and log visibility, and is designed to scale from standalone deployments to multi-cluster Kubernetes environments with Redis-backed federation and caching for performance and resilience.
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GPT-5.3-Codex
OpenAI
GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, designed to handle complex professional work on a computer. It combines frontier-level coding performance with advanced reasoning and real-world task execution. The model is faster than previous Codex versions and can manage long-running tasks involving research, tools, and deployment. GPT-5.3-Codex supports real-time interaction, allowing users to steer progress without losing context. It excels at software engineering, web development, and terminal-based workflows. Beyond code generation, it assists with debugging, documentation, testing, and analysis. GPT-5.3-Codex acts as an interactive collaborator rather than a single-turn coding tool. -
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Strategy Mosaic
Strategy Software
Strategy Mosaic is an AI-powered universal semantic data layer and analytics foundation that sits on top of an organization’s existing data systems to unify, govern, and accelerate access to business data for analytics, AI, and reporting without costly restructuring. It creates a single source of truth with consistent business definitions, metrics, and security policies across tools and sources, harmonizing data from hundreds of systems so insights are reliable and comparable everywhere. Built with AI-assisted data modeling (Mosaic Studio), Mosaic automates data preparation, cleansing, enrichment, and modeling, reducing the time and effort needed to build robust data products and semantic models. Its universal connectors let users access governed data via SQL, REST, Python, or through popular BI and productivity tools like Power BI, Tableau, Excel, and Google Sheets, while an in-memory acceleration engine delivers fast query performance across diverse sources. -
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Gemini 3.1 Pro
Google
Gemini 3.1 Pro is Google’s upgraded core intelligence model designed for complex tasks that require advanced reasoning. Building on the Gemini 3 series, it delivers significant improvements in problem-solving performance and logical pattern recognition. On the ARC-AGI-2 benchmark, Gemini 3.1 Pro achieved a verified score of 77.1%, more than doubling the reasoning performance of Gemini 3 Pro. The model is engineered for challenges where simple answers are insufficient, enabling deeper analysis, synthesis, and creative output. It can generate practical outputs such as animated, website-ready SVGs directly from text prompts, combining intelligence with real-world usability. Gemini 3.1 Pro is rolling out in preview across consumer, developer, and enterprise platforms including the Gemini app, NotebookLM, Gemini API, Gemini Enterprise Agent Platform, and Android Studio. With expanded access for Google AI Pro and Ultra users, 3.1 Pro sets a stronger baseline for agentic workflows. -
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Code Metal
Code Metal
CodeMetal is an AI-enabled code translation and deployment platform designed to help engineering teams automatically convert high-level reference code into optimized, hardware-specific implementations for edge and embedded environments. It allows developers to write algorithms in familiar languages such as Python, MATLAB, or Julia and then automatically generates low-level code tailored to the target runtime, including embedded C/C++, Rust, CUDA, or FPGA languages. Its agentic workflow analyzes module dependencies, maps equivalents across architectures, and produces a transpilation and deployment plan that developers can review or execute directly. CodeMetal emphasizes verifiable AI by combining generative techniques with formal methods to ensure translated code is tested, compliant, and production-ready, addressing the reliability concerns common in safety-critical industries. -
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Gemini 3.1 Flash-Lite
Google
Gemini 3.1 Flash-Lite is Google’s fastest and most cost-efficient model in the Gemini 3 series, designed for high-volume developer workloads. It delivers strong performance at scale while maintaining affordability, with pricing set at $0.25 per million input tokens and $1.50 per million output tokens. The model significantly improves speed, offering a 2.5x faster time to first answer token and a 45% increase in output speed compared to Gemini 2.5 Flash. Despite its lower cost tier, it achieves high benchmark results, including an Elo score of 1432 and strong performance across reasoning and multimodal evaluations. Gemini 3.1 Flash-Lite supports adaptive “thinking levels,” allowing developers to control how much reasoning power is used for different tasks. It is suitable for large-scale applications such as translation, content moderation, user interface generation, and simulation building.
