Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%),...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...
Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...
Tencent Hy reasoning model for coding, instruction following, and agent tasks
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world...
Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba mixture-of-experts architecture, it...
Hybrid-reasoning DeepSeek model with thinking and non-thinking modes, sparse attention, and tool-use
DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's...
Small GPT-5 for responsive agents, coding help, and everyday automation
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Google's proven reasoning model for coding, math, and multimodal analysis
The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achieving higher inference efficiency. In a variety of...
Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over...
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...
GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter...
Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version. It...
Coding-optimized GPT model for repository edits, reviews, and agentic software work
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
Long-lived GPT workhorse for coding, instruction following, and production apps
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...
Reasoning-optimized 398B MoE agent model with extended thinking for long-horizon and multi-turn tool use
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...
Affordable GPT-4.1 lane for fast coding help and structured extraction
GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...
Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...
Fast Gemini workhorse for multimodal apps where latency and price matter
DeepSeek chat model for instruction following, coding, and analysis
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...
Tiny GPT-5 lane for routing, extraction, classification, and bulk jobs
The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...
o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....
Deliberate o-series reasoner for hard math, coding, and multi-step analysis
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
Low-latency Gemini model for high-volume multimodal and agent workloads
Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost...
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...
Fast o-series model for compact reasoning, coding, and tool use
Open GPT reasoning model for self-hosted agents and controllable deployments
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Anthropic: Claude Sonnet 4anthropic/claude-sonnet-4 | 1161.0 | 200K | $3 | $15 | — | |||
| NVIDIA: Nemotron 3 Ultra (batch)nvidia/nemotron-3-ultra-550b-a55b:batch | 1160.0 | 512.288K | $0.6 | $3.6 | — | |||
| Qwen: Qwen3 Coder 480B A35B (free)qwen/qwen3-coder:free | 1160.0 | 262K | Free | Free | — | |||
| Hy3tencent/hy3 | 1159.0 | 256K | $0.066 | $0.26 | 2026-07-06 | |||
| Z.ai: GLM 4.7 Flashz-ai/glm-4.7-flash | 1158.0 | 131.072K | $0.061 | $0.4 | — | |||
| MiniMax: MiniMax M2.1minimax/minimax-m2.1 | 1157.0 | 204.8K | $0.3 | $1.2 | — | |||
| Nemotron 3 Ultra 550B A55Bnvidia/nemotron-3-ultra-550b-a55b | 1155.0 | 1M | $0.5 | $2.5 | 2026-06-04 | |||
| NVIDIA: Nemotron 3 Ultra (free)nvidia/nemotron-3-ultra-550b-a55b:free | 1155.0 | 1M | Free | Free | — | |||
| DeepSeek V3.2deepseek/deepseek-v3.2 | 1154.0 | 128K | $0.18 | $0.35 | 2025-12-01 | |||
| DeepSeek: DeepSeek V3.1 Terminusdeepseek/deepseek-v3.1-terminus | 1153.0 | 131.072K | $0.27 | $1 | — | |||
| GPT-5 Miniopenai/gpt-5-mini | 1152.0 | 400K | $0.25 | $2 | 2025-08-07 | |||
| OpenAI: GPT-5 Mini (batch)openai/gpt-5-mini:batch | 1152.0 | 400K | $0.125 | $1 | — | |||
| MiniMax: MiniMax M2minimax/minimax-m2 | 1141.0 | 204.8K | $0.255 | $1.02 | — | |||
| Google: Gemini 2.5 Pro (batch)google/gemini-2.5-pro:batch | 1134.0 | 1.04858M | $0.625 | $5 | — | |||
| Gemini 2.5 Progoogle/gemini-2.5-pro | 1134.0 | 1.04858M | $1.25 | $10 | 2025-06-17 | |||
| Qwen: Qwen3.5 Plus 2026-02-15qwen/qwen3.5-plus-02-15 | 1128.0 | 1M | $0.26 | $1.56 | — | |||
| Qwen: Qwen3 Coder 480B A35Bqwen/qwen3-coder | 1122.0 | 262.144K | $0.3 | $1 | — | |||
| Anthropic: Claude Haiku 4.5 (batch)anthropic/claude-haiku-4.5:batch | 1120.0 | 200K | $0.5 | $2.5 | — | |||
| DeepSeek: R1 0528deepseek/deepseek-r1-0528 | 1120.0 | 163.84K | $0.5 | $2.15 | — | |||
| Anthropic: Claude Haiku 4.5anthropic/claude-haiku-4.5 | 1120.0 | 200K | $1 | $5 | — | |||
| Z.ai: GLM 4.5 Airz-ai/glm-4.5-air | 1117.0 | 131.072K | $0.13 | $0.85 | — | |||
| Qwen: Qwen3 Maxqwen/qwen3-max | 1117.0 | 262.144K | $0.78 | $3.9 | — | |||
| GPT-5.1 Codex miniopenai/gpt-5.1-codex-mini | 1115.0 | 400K | $0.22 | $1.8 | 2025-11-13 | |||
| DeepSeek: DeepSeek V3.1deepseek/deepseek-chat-v3.1 | 1107.0 | 163.84K | $0.25 | $0.95 | — | |||
| Mistral: Mistral Large 3 2512mistralai/mistral-large-2512 | 1103.0 | 262.144K | $0.5 | $1.5 | — | |||
| Mistral: Mistral Large 3 2512 (batch)mistralai/mistral-large-2512:batch | 1103.0 | 262.144K | $0.25 | $0.75 | — | |||
| GPT-4.1openai/gpt-4.1 | 1102.0 | 1.04758M | $2 | $8 | 2025-04-14 | |||
| OpenAI: GPT-4.1 (batch)openai/gpt-4.1:batch | 1102.0 | 1.04758M | $1 | $4 | — | |||
| Trinity Large Thinkingarcee-ai/trinity-large-thinking | 1102.0 | 524.288K | $0.25 | $0.9 | 2026-04-01 | |||
| Mistral: Mistral Medium 3.1mistralai/mistral-medium-3.1 | 1097.0 | 131.072K | $0.4 | $2 | — | |||
| Mistral: Mistral Medium 3.1 (batch)mistralai/mistral-medium-3.1:batch | 1097.0 | 131.072K | $0.2 | $1 | — | |||
| GPT-4.1 miniopenai/gpt-4.1-mini | 1093.0 | 1.04758M | $0.4 | $1.6 | 2025-04-14 | |||
| OpenAI: GPT-4.1 Mini (batch)openai/gpt-4.1-mini:batch | 1093.0 | 1.04758M | $0.2 | $0.8 | — | |||
| Google: Gemini 2.5 Flash (batch)google/gemini-2.5-flash:batch | 1088.0 | 1.04858M | $0.15 | $1.25 | — | |||
| Gemini 2.5 Flashgoogle/gemini-2.5-flash | 1088.0 | 1.04858M | $0.3 | $2.5 | 2025-06-17 | |||
| DeepSeek Chatdeepseek/deepseek-chat | 1076.0 | 1M | $0.147 | $0.295 | 2025-12-01 | |||
| OpenAI: GPT-5 Nano (batch)openai/gpt-5-nano:batch | 1067.0 | 400K | $0.025 | $0.2 | — | |||
| GPT-5 Nanoopenai/gpt-5-nano | 1067.0 | 400K | $0.05 | $0.4 | 2025-08-07 | |||
| Mistral: Ministral 3 14B 2512mistralai/ministral-14b-2512 | 1061.0 | 262.144K | $0.2 | $0.2 | — | |||
| OpenAI: o3 (batch)openai/o3:batch | 1057.0 | 200K | $1 | $4 | — | |||
| o3openai/o3 | 1057.0 | 200K | $2 | $8 | 2025-04-16 | |||
| OpenAI: gpt-oss-120b (free)openai/gpt-oss-120b:free | 1054.0 | 131.072K | Free | Free | — | |||
| Gemini 3.1 Flash Lite Previewgoogle/gemini-3.1-flash-lite-preview | 1052.0 | 1.04858M | $0.25 | $1.5 | 2026-03-03 | |||
| Mistral: Mistral Medium 3mistralai/mistral-medium-3 | 1040.0 | 131.072K | $0.4 | $2 | — | |||
| OpenAI: o4 Mini (batch)openai/o4-mini:batch | 1026.0 | 200K | $0.55 | $2.2 | — | |||
| o4-miniopenai/o4-mini | 1026.0 | 200K | $1.1 | $4.4 | 2025-04-16 | |||
| GPT OSS 120Bopenai/gpt-oss-120b | 1015.0 | 131.072K | $0.03 | $0.17 | 2025-08-05 | |||
| OpenAI: gpt-oss-120b (batch)openai/gpt-oss-120b:batch | 1015.0 | 131.072K | $0.15 | $0.6 | — | |||
| Mistral: Ministral 3 8B 2512 (batch)mistralai/ministral-8b-2512:batch | 1013.0 | 262.144K | $0.075 | $0.075 | — | |||
| Mistral: Ministral 3 8B 2512mistralai/ministral-8b-2512 | 1013.0 | 262.144K | $0.15 | $0.15 | — |