GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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...
Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in...
Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...
Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...
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...
Sharper GPT-5 generation for coding, product work, and tool-assisted tasks
GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning...
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 Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...
Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...
Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...
Tencent Hy reasoning model for coding, instruction following, and agent tasks
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...
Upstage's flagship model, specialized for agentic use
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...
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
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...
Coding-optimized GPT model for repository edits, reviews, and agentic software work
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,...
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%),...
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...
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....
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.
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...
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...
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...
DeepSeek chat model for instruction following, coding, and analysis
Fast Gemini workhorse for multimodal apps where latency and price matter
Upstage's compact, cost-efficient model for agentic use
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
Low-latency Gemini model for high-volume multimodal and agent workloads
Tiny GPT-5 lane for routing, extraction, classification, and bulk jobs
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...
Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the...
Reasoning-optimized 398B MoE agent model with extended thinking for long-horizon and multi-turn tool use
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/news/codestral-25-08)
Deliberate o-series reasoner for hard math, coding, and multi-step analysis
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....
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...
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| OpenAI: GPT-5 (batch)openai/gpt-5:batch | 1174.0 | 400K | $0.625 | $5 | — | |||
| Qwen: Qwen3.5 Plus 2026-02-15qwen/qwen3.5-plus-02-15 | 1172.0 | 1M | $0.26 | $1.56 | — | |||
| Anthropic: Claude Opus 4anthropic/claude-opus-4 | 1169.0 | 200K | $15 | $75 | — | |||
| Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5 | 1167.0 | 1M | $3 | $15 | — | |||
| Anthropic: Claude Sonnet 4.5 (batch)anthropic/claude-sonnet-4.5:batch | 1167.0 | 1M | $1.5 | $7.5 | — | |||
| MiniMax: MiniMax M2.5minimax/minimax-m2.5 | 1167.0 | 204.8K | $0.3 | $1.2 | — | |||
| NVIDIA: Nemotron 3 Ultra (batch)nvidia/nemotron-3-ultra-550b-a55b:batch | 1161.0 | 512.288K | $0.6 | $3.6 | — | |||
| GPT-5.1openai/gpt-5.1 | 1161.0 | 400K | $1.25 | $10 | 2025-11-13 | |||
| OpenAI: GPT-5.1 (batch)openai/gpt-5.1:batch | 1161.0 | 400K | $0.625 | $5 | — | |||
| Qwen: Qwen3 Coder 480B A35B (free)qwen/qwen3-coder:free | 1161.0 | 262K | Free | Free | — | |||
| Anthropic: Claude Opus 4.1anthropic/claude-opus-4.1 | 1159.0 | 200K | $15 | $75 | — | |||
| Anthropic: Claude Opus 4.1 (batch)anthropic/claude-opus-4.1:batch | 1159.0 | 200K | $7.5 | $37.5 | — | |||
| DeepSeek V4 Flashdeepseek/deepseek-v4-flash | 1159.0 | 1M | $0.15 | $0.6 | 2026-04-24 | |||
| Qwen: Qwen3.5 397B A17Bqwen/qwen3.5-397b-a17b | 1158.0 | 262.144K | $0.5 | $3.6 | — | |||
| Hy3tencent/hy3 | 1158.0 | 256K | $0.066 | $0.26 | 2026-07-06 | |||
| NVIDIA: Nemotron 3.5 Super VLnvidia/nemotron-3.5-super-vl | 1148.0 | 262.144K | $0.15 | $0.5 | — | |||
| NVIDIA: Nemotron 3.5 Super VL (free)nvidia/nemotron-3.5-super-vl:free | 1148.0 | 1M | Free | Free | — | |||
| Solar Pro 4upstage/solar-pro4 | 1145.0 | 524.288K | $0.3 | $1.2 | 2026-08-06 | |||
| Z.ai: GLM 4.6z-ai/glm-4.6 | 1142.0 | 204.8K | $0.55 | $2.2 | — | |||
| Google: Gemini 2.5 Pro (batch)google/gemini-2.5-pro:batch | 1141.0 | 1.04858M | $0.625 | $5 | — | |||
| Gemini 2.5 Progoogle/gemini-2.5-pro | 1134.0 | 1.04858M | $1.25 | $10 | 2025-06-17 | |||
| Nemotron 3 Ultra 550B A55Bnvidia/nemotron-3-ultra-550b-a55b | 1133.0 | 1M | $0.1 | $0.1 | 2026-06-04 | |||
| NVIDIA: Nemotron 3 Ultra (free)nvidia/nemotron-3-ultra-550b-a55b:free | 1133.0 | 1M | Free | Free | — | |||
| GPT-5.3 Codexopenai/gpt-5.3-codex | 1132.0 | 400K | $1.75 | $14 | 2026-02-05 | |||
| MiniMax: MiniMax M2minimax/minimax-m2 | 1131.0 | 204.8K | $0.255 | $1.02 | — | |||
| Anthropic: Claude Sonnet 4anthropic/claude-sonnet-4 | 1130.0 | 200K | $3 | $15 | — | |||
| Qwen: Qwen3 Coder 480B A35Bqwen/qwen3-coder | 1107.0 | 262.144K | $0.3 | $1 | — | |||
| GPT-5 Miniopenai/gpt-5-mini | 1101.0 | 400K | $0.25 | $2 | 2025-08-07 | |||
| OpenAI: GPT-5 Mini (batch)openai/gpt-5-mini:batch | 1101.0 | 400K | $0.125 | $1 | — | |||
| Mistral: Mistral Large 3 2512mistralai/mistral-large-2512 | 1097.0 | 262.144K | $0.5 | $1.5 | — | |||
| Mistral: Mistral Large 3 2512 (batch)mistralai/mistral-large-2512:batch | 1097.0 | 262.144K | $0.25 | $0.75 | — | |||
| Anthropic: Claude Haiku 4.5anthropic/claude-haiku-4.5 | 1095.0 | 200K | $1 | $5 | — | |||
| Anthropic: Claude Haiku 4.5 (batch)anthropic/claude-haiku-4.5:batch | 1095.0 | 200K | $0.5 | $2.5 | — | |||
| Google: Gemini 2.5 Flash (batch)google/gemini-2.5-flash:batch | 1094.0 | 1.04858M | $0.15 | $1.25 | — | |||
| DeepSeek Chatdeepseek/deepseek-chat | 1088.0 | 1M | $0.15 | $0.6 | 2025-12-01 | |||
| Gemini 2.5 Flashgoogle/gemini-2.5-flash | 1087.0 | 1.04858M | $0.3 | $2.5 | 2025-06-17 | |||
| Solar Mini 4upstage/solar-mini4 | 1087.0 | 524.288K | $0.1 | $0.4 | 2026-09-22 | |||
| Qwen: Qwen3 Maxqwen/qwen3-max | 1081.0 | 262.144K | $0.78 | $3.9 | — | |||
| GPT-5.1 Codex miniopenai/gpt-5.1-codex-mini | 1076.0 | 400K | $0.22 | $1.8 | 2025-11-13 | |||
| Gemini 3.1 Flash Lite Previewgoogle/gemini-3.1-flash-lite-preview | 1066.0 | 1.04858M | $0.25 | $1.5 | 2026-03-03 | |||
| GPT-5 Nanoopenai/gpt-5-nano | 1061.0 | 400K | $0.05 | $0.4 | 2025-08-07 | |||
| OpenAI: GPT-5 Nano (batch)openai/gpt-5-nano:batch | 1061.0 | 400K | $0.025 | $0.2 | — | |||
| Qwen: Qwen3 Coder 30B A3B Instructqwen/qwen3-coder-30b-a3b-instruct | 1041.0 | 262.144K | $0.07 | $0.28 | — | |||
| Trinity Large Thinkingarcee-ai/trinity-large-thinking | 1040.0 | 524.288K | $0.25 | $0.8 | 2026-04-01 | |||
| Mistral: Codestral 2508mistralai/codestral-2508 | 1012.0 | 256K | $0.3 | $0.9 | — | |||
| Mistral: Codestral 2508 (batch)mistralai/codestral-2508:batch | 1012.0 | 256K | $0.15 | $0.45 | — | |||
| o3openai/o3 | 1011.0 | 200K | $2 | $8 | 2025-04-16 | |||
| OpenAI: o3 (batch)openai/o3:batch | 1011.0 | 200K | $1 | $4 | — | |||
| GPT-4.1openai/gpt-4.1 | 995.0 | 1.04758M | $2 | $8 | 2025-04-14 | |||
| OpenAI: GPT-4.1 (batch)openai/gpt-4.1:batch | 995.0 | 1.04758M | $1 | $4 | — |