Browse all AI Gateway models
Every model available on Vercel AI Gateway, with API access, pricing, and a playground. 307 models · Page 1 of 6.
Search and filter all models →- QuiverAIArrow 1.1Best default for speed and quality, with stronger prompt following and more precise SVG structure.
- ByteDanceBytedance Seed 1.8Bytedance Seed 1.8 features stronger multimodal understanding and agent capabilities. The model delivers superior performance across a wide range of complex real-world tasks, helping enterprises create greater value.
- AnthropicClaude 3 HaikuClaude 3 Haiku is Anthropic's fastest, most compact model for near-instant responsiveness. It answers simple queries and requests with speed. Customers will be able to build seamless AI experiences that mimic human interactions. Claude 3 Haiku can process images and return text outputs, and features a 200K context window.
- AnthropicClaude Fable 5Claude Fable 5 is a Mythos-class model with robust safeguards. It can handle long-running, complex, and asynchronous tasks where previous models would have needed more frequent check-ins.
- AnthropicClaude Haiku 4.5Claude Haiku 4.5 matches Sonnet 4's performance on coding, computer use, and agent tasks at substantially lower cost and faster speeds. It delivers near-frontier performance and Claude’s unique character at a price point that works for scaled sub-agent deployments, free tier products, and intelligence-sensitive applications with budget constraints.
- AnthropicClaude Opus 4Claude Opus 4 is Anthropic's most intelligent model and is state-of-the-art for coding and agent capabilities, especially agentic search. It excels for customers needing frontier intelligence: Advanced coding: Independently plan and execute complex development tasks end-to-end. It adapts to your style and maintains high code quality throughout.
- AnthropicClaude Opus 4.1Claude Opus 4.1 is a drop-in replacement for Opus 4 that delivers superior performance and precision for real-world coding and agentic tasks. Opus 4.1 advances state-of-the-art coding performance to 74.5% on SWE-bench Verified, and handles complex, multi-step problems with more rigor and attention to detail.
- AnthropicClaude Opus 4.5Claude Opus 4.5 is Anthropic’s latest model in the Opus series, meant for demanding reasoning tasks and complex problem solving. This model has improvements in general intelligence and vision compared to previous iterations. In addition, it is suited for difficult coding tasks and agentic workflows, especially those with computer use and tool use, and can effectively handle context usage and external memory files.
- AnthropicClaude Opus 4.6Opus 4.6 is the world’s best model for coding and professional work, built to power agents that take on whole categories of real-world work. It excels across the entire SDLC, breaking through on hard problems, identifying complex bugs, and demonstrating deeper codebase understanding. It also delivers a step-change in knowledge work, with near-production-ready documents, presentations, and spreadsheets on the first pass.
- AnthropicClaude Opus 4.7Opus 4.7 builds on the coding and agentic strengths of Opus 4.6 with stronger performance on complex, multi-step tasks and more reliable agentic execution. It also brings improved performance on knowledge work, from drafting documents to building presentations and analyzing data.
- AnthropicClaude Opus 4.8Opus 4.8 is a focused upgrade to Opus 4.7 and is Anthropic's best generally available model for coding, agentic tasks, and enterprise workflows. It builds on the strengths of previous Opus models with stronger performance on complex, multi-step coding tasks. Anthropic recommends using it on long-horizon coding and agentic tasks. It is also stronger on professional work, including document drafting, data analysis, and presentations.
- AnthropicClaude Sonnet 4Claude Sonnet 4 balances impressive performance for coding with the right speed and cost for high-volume use cases: Coding: Handle everyday development tasks with enhanced performance-power code reviews, bug fixes, API integrations, and feature development with immediate feedback loops.
- AnthropicClaude Sonnet 4.5Claude Sonnet 4.5 is the newest model in the Sonnet series, offering improvements and updates over Sonnet 4.
- AnthropicClaude Sonnet 4.6Claude Sonnet 4.6 is the most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with memory, polished document creation, and confident computer use for web QA and workflow automation.
- AnthropicClaude Sonnet 5Sonnet 5 is an upgrade to Sonnet 4.6, with gains across agentic coding and professional work. It builds on the strengths of previous Sonnet models, bringing top-tier intelligence at Sonnet pricing for coding, agents, and everyday professional work at scale.
- MistralCodestral EmbedCode embedding model that can embed code databases and repositories to power coding assistants.
- CohereCohere Rerank 3.5A model that allows for re-ranking English Language documents and semi-structured data (JSON).
- CohereCohere Rerank 4 FastA light version of Rerank 4 Pro, this is a multilingual model that allows for re-ranking English and non-english documents and semi-structured data (JSON). This model is better suited for low latency and high throughput use-cases than its pro variant.
- CohereCohere Rerank 4 ProA multilingual model that allows for re-ranking English and non-english documents and semi-structured data (JSON). This model is better suited for state-of-the-art quality and complex use-cases than its fast variant.
- CohereCommand ACommand A is Cohere's most performant model to date, excelling at tool use, agents, retrieval augmented generation (RAG), and multilingual use cases. Command A has a context length of 256K, only requires two GPUs to run, and has 150% higher throughput compared to Command R+ 08-2024.
- DeepSeekDeepSeek R1 0528The DeepSeek R1 model has undergone a minor version upgrade, with the current version being DeepSeek-R1-0528.
- DeepSeekDeepSeek V3 0324DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team.
- DeepSeekDeepSeek V3.1DeepSeek-V3.1 is post-trained on the top of DeepSeek-V3.1-Base, which is built upon the original V3 base checkpoint through a two-phase long context extension approach, following the methodology outlined in the original DeepSeek-V3 report. We have expanded our dataset by collecting additional long documents and substantially extending both training phases. The 32K extension phase has been increased 10-fold to 630B tokens, while the 128K extension phase has been extended by 3.3x to 209B tokens. Additionally, DeepSeek-V3.1 is trained using the UE8M0 FP8 scale data format to ensure compatibility with microscaling data formats.
- DeepSeekDeepSeek V3.1 TerminusDeepSeek-V3.1-Terminus delivers more stable & reliable outputs across benchmarks compared to the previous version and addresses user feedback (i.e. language consistency and agent upgrades).
- DeepSeekDeepSeek V3.2DeepSeek-V3.2: Official successor to V3.2-Exp.
- DeepSeekDeepSeek V3.2
- DeepSeekDeepseek V4 FlashDeepSeek-V4 series incorporate several key upgrades in architecture and optimization: (1) a hybrid attention architecture that combines Compressed Sparse Attention (CSA) and Heavily Compressed Attention (HCA) to improve long-context efficiency; (2) ManifoldConstrained Hyper-Connections (mHC) that enhance conventional residual connections; (3) and the Muon optimizer for faster convergence and greater training stability
- DeepSeekDeepSeek V4 ProDeepSeek-V4 series incorporate several key upgrades in architecture and optimization: (1) a hybrid attention architecture that combines Compressed Sparse Attention (CSA) and Heavily Compressed Attention (HCA) to improve long-context efficiency; (2) ManifoldConstrained Hyper-Connections (mHC) that enhance conventional residual connections; (3) and the Muon optimizer for faster convergence and greater training stability
- MistralDevstral 2An enterprise-grade text model that excels at using tools to explore codebases, editing multiple files, and powering software engineering agents.
- MistralDevstral Small 2Our open source model that excels at using tools to explore codebases, editing multiple files, and powering software engineering agents.
- CohereEmbed v4.0A model that allows for text, images, or mixed content to be classified or turned into embeddings.
- ProdiaFlux SchnellLightning-fast image generation
- Black Forest LabsFLUX.1 Fill [pro]A state-of-the-art inpainting model, enabling editing and expansion of real and generated images given a text description and a binary mask. This provider gives the option to change the moderation level for inputs and outputs. The control is under safety tolerance and is by default 2 on a range from 0 (more strict) through 6 (more permissive).
- Black Forest LabsFLUX.1 Kontext MaxFLUX.1 Kontext creates images from text prompts with unique capabilities for character consistency and advanced editing. It also edits images using simple text prompts. No complex workflows or fine-tuning needed. This provider gives the option to change the moderation level for inputs and outputs. The control is under safety tolerance and is by default 2 on a range from 0 (more strict) through 6 (more permissive).
- Black Forest LabsFLUX.1 Kontext ProFLUX.1 Kontext creates images from text prompts with unique capabilities for character consistency and advanced editing. It also edits images using simple text prompts. No complex workflows or fine-tuning needed. This provider gives the option to change the moderation level for inputs and outputs. The control is under safety tolerance and is by default 2 on a range from 0 (more strict) through 6 (more permissive).
- Black Forest LabsFLUX.2 [flex]FLUX.2 is a completely new base model trained for visual intelligence, not just pixel generation, setting a new standard for both image generation and image editing. With FLUX.2 models you can expect the highest quality, higher resolutions (up to 4MP), and new capabilities like multi-ref images. FLUX.2 [flex] supports customizable image generation and editing with adjustable steps and guidance. It's better at typography and text rendering. It supports up to 10 reference images (up to 14 MP total input). This provider gives the option to change the moderation level for inputs and outputs. The control is under safety tolerance and is by default 2 on a range from 0 (more strict) through 6 (more permissive).
- Black Forest LabsFLUX.2 [klein] 4BFLUX.2 [klein] is Black Forest Labs' fastest image model yet - it unifies image generation and editing in a single, compact model. Delivering state-of-the-art quality with end-to-end inference in less than a second. Enabling interactive workflows, real-time previews, and latency-critical applications.
- Black Forest LabsFLUX.2 [klein] 9BFLUX.2 [klein] is Black Forest Labs' fastest image model yet - it unifies image generation and editing in a single, compact model. Delivering state-of-the-art quality with end-to-end inference in less than a second. Enabling interactive workflows, real-time previews, and latency-critical applications.
- Black Forest LabsFLUX.2 [max]FLUX.2 [max] offers image generation and image editing with the highest quality available. It delivers state-of-the-art image generation and advanced image editing with exceptional realism, precision, and consistency. Built for professional use, FLUX.2 [max] produces production-ready outputs for marketing teams, creatives, filmmakers, and creators around the world.
- Black Forest LabsFLUX.2 [pro]FLUX.2 is a completely new base model trained for visual intelligence, not just pixel generation, setting a new standard for both image generation and image editing. With FLUX.2 models you can expect the highest quality, higher resolutions (up to 4MP), and new capabilities like multi-ref images. FLUX.2 [pro] supports generation, editing, and multiple reference images (up to 9 MP total input). This provider gives the option to change the moderation level for inputs and outputs. The control is under safety tolerance and is by default 2 on a range from 0 (more strict) through 6 (more permissive).
- Black Forest LabsFLUX1.1 [pro]FLUX1.1 [pro] is the standard for text-to-image generation with fast, reliable and consistently stunning results. This provider gives the option to change the moderation level for inputs and outputs. The control is under safety tolerance and is by default 2 on a range from 0 (more strict) through 6 (more permissive).
- Black Forest LabsFLUX1.1 [pro] UltraFLUX1.1 [pro] Ultra delivers ultra-fast, ultra high-resolution image creation - with more pixels in every picture. Generate varying aspect ratios from text, at 4MP resolution fast. This provider gives the option to change the moderation level for inputs and outputs. The control is under safety tolerance and is by default 2 on a range from 0 (more strict) through 6 (more permissive).
- Sakana AIFugu UltraFugu Ultra coordinates a deeper pool of expert agents to maximize answer quality on hard, high-stakes problems. Fugu Ultra focuses on maximizing performance, for a higher cost. It routes between one to three agents, depending on the problem.
- GoogleGemini 2.5 FlashGemini 2.5 Flash is a thinking model that offers great, well-rounded capabilities. It is designed to offer a balance between price and performance with multimodal support and a 1M token context window.
- GoogleGemini 2.5 Flash LiteGemini 2.5 Flash-Lite is a balanced, low-latency model with configurable thinking budgets and tool connectivity (e.g., Google Search grounding and code execution). It supports multimodal input and offers a 1M-token context window.
- GoogleGemini 2.5 Flash Preview 09-2025Gemini 2.5 Flash is a thinking model that offers great, well-rounded capabilities. It is designed to offer a balance between price and performance with multimodal support and a 1M token context window.
- GoogleGemini 2.5 ProGemini 2.5 Pro is our most advanced reasoning Gemini model, capable of solving complex problems. Gemini 2.5 Pro can comprehend vast datasets and challenging problems from different information sources, including text, audio, images, video, and even entire code repositories.
- GoogleGemini 3 FlashGoogle's most intelligent model built for speed, combining frontier intelligence with superior search and grounding.
- GoogleGemini 3 Pro PreviewThis model improves upon Gemini 2.5 Pro and is catered towards challenging tasks, especially those involving complex reasoning or agentic workflows. Improvements highlighted include use cases for coding, multi-step function calling, planning, reasoning, deep knowledge tasks, and instruction following.
- GoogleGemini 3.1 Flash Image (Nano Banana 2)Gemini 3.1 Flash Image is optimized for image understanding and generation and offers a balance of price and performance.
- GoogleGemini 3.1 Flash Image Preview (Nano Banana 2)Gemini 3.1 Flash Image (Nano Banana 2) is optimized for image understanding and generation and offers a balance of price and performance.
- GoogleGemini 3.1 Flash LiteGemini 3.1 Flash Lite outperforms 2.5 Flash Lite on overall quality and lands close to 2.5 Flash performance across key capability areas. It is a workhorse model for high-volume use cases, with improvements across audio input/ASR, RAG snippet ranking, translation, data extraction, and code completion.
- GoogleGemini 3.1 Flash Lite Image (Nano Banana 2 Lite)Gemini 3.1 Flash-Lite Image (Nano Banana 2 Lite) is Google's fastest image generation model enabling rapid creation and iteration.
- GoogleGemini 3.1 Flash Lite PreviewGemini 3.1 Flash Lite Preview outperforms 2.5 Flash Lite on overall quality and lands close to 2.5 Flash performance across key capability areas. It is a workhorse model for high-volume use cases, with improvements across audio input/ASR, RAG snippet ranking, translation, data extraction, and code completion.
- GoogleGemini 3.1 Pro PreviewImproved SWE and agentic capabilities, improved token efficiency and thinking, and expanded thinking levels.
- GoogleGemini 3.5 FlashGoogle's latest model, highly optimized for coding proficiency and parallel agentic execution loops. Defaults to medium thinking effort for faster and more cost-efficient responses.
- GoogleGemini 3.5 Flash LiteGemini 3.5 Flash Lite features upgraded agentic capabilities, making the model ideal for subagents in complex workflows.
- GoogleGemini 3.6 FlashGemini 3.6 Flash delivers higher quality across coding, agentic workflows, and web development with reduced token consumption and fewer model calls compared to previous model iterations.
- GoogleGemini Embedding 001State-of-the-art embedding model with excellent performance across English, multilingual and code tasks.
- GoogleGemini Embedding 2Google’s first fully multimodal Embedding model that is capable of mapping text, image, video, audio, and PDFs and their interleaved combinations thereof into a single, unified vector space. Built on the Gemini architecture, it supports 100+ languages.