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...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...
Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...
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...
Upstage's flagship model, specialized for agentic use
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...
New Gemini flash lane bringing frontier-style multimodal reasoning to cheaper runs
Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool...
Multimodal MoE reasoning model (975B total, 41B active) for text, image, and audio
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...
Coding-optimized GPT model for repository edits, reviews, and agentic software work
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...
Newer StepFun flash model for faster agents, coding, and multimodal prompts
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...
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%),...
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...
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...
Codex GPT for repository edits, code review, and practical software agents
Tencent Hy reasoning model for coding, instruction following, and agent tasks
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...
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,...
Google's proven reasoning model for coding, math, and multimodal analysis
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...
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 compact, cost-efficient model for agentic use
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-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...
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...
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...
Coding-optimized GPT model for repository edits, reviews, and agentic software work
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
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...
Fast Gemini workhorse for multimodal apps where latency and price matter
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
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...
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| MiniMax: MiniMax M2.5minimax/minimax-m2.5 | 1176.0 | 204.8K | $0.3 | $1.2 | — | |||
| SpaceXAI: Grok 4.3x-ai/grok-4.3 | 1172.0 | 1M | $1.25 | $2.5 | — | |||
| SpaceXAI: Grok 4.3 (batch)x-ai/grok-4.3:batch | 1172.0 | 1M | $1 | $2 | — | |||
| Anthropic: Claude Opus 4.1anthropic/claude-opus-4.1 | 1171.0 | 200K | $15 | $75 | — | |||
| Anthropic: Claude Opus 4.1 (batch)anthropic/claude-opus-4.1:batch | 1171.0 | 200K | $7.5 | $37.5 | — | |||
| Solar Pro 4upstage/solar-pro4 | 1170.0 | 524.288K | $0.3 | $1.2 | 2026-08-06 | |||
| Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5 | 1166.0 | 1M | $3 | $15 | — | |||
| Anthropic: Claude Sonnet 4.5 (batch)anthropic/claude-sonnet-4.5:batch | 1166.0 | 1M | $1.5 | $7.5 | — | |||
| Gemini 3 Flash Previewgoogle/gemini-3-flash-preview | 1166.0 | 1.04858M | $0.5 | $3 | 2025-12-17 | |||
| Google: Gemini 3 Flash Preview (batch)google/gemini-3-flash-preview:batch | 1166.0 | 1.04858M | $0.25 | $1.5 | — | |||
| Inklingthinkingmachines/inkling | 1165.0 | 1.04858M | $1.87 | $4.68 | 2026-07-15 | |||
| Thinking Machines: Inkling (free)thinkingmachines/inkling:free | 1165.0 | 1.04858M | Free | Free | — | |||
| GPT-5.3 Codexopenai/gpt-5.3-codex | 1161.0 | 400K | $1.75 | $14 | 2026-02-05 | |||
| 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 | — | |||
| Step 3.7 Flashstepfun/step-3.7-flash | 1157.0 | 256K | $0.202 | $1.211 | 2026-05-29 | |||
| Z.ai: GLM 4.6z-ai/glm-4.6 | 1151.0 | 204.8K | $0.55 | $2.2 | — | |||
| Anthropic: Claude Sonnet 4anthropic/claude-sonnet-4 | 1142.0 | 200K | $3 | $15 | — | |||
| Qwen: Qwen3.5 397B A17Bqwen/qwen3.5-397b-a17b | 1140.0 | 262.144K | $0.5 | $3.6 | — | |||
| Nemotron 3 Ultra 550B A55Bnvidia/nemotron-3-ultra-550b-a55b | 1138.0 | 1M | $0.1 | $0.1 | 2026-06-04 | |||
| NVIDIA: Nemotron 3 Ultra (free)nvidia/nemotron-3-ultra-550b-a55b:free | 1138.0 | 1M | Free | Free | — | |||
| GPT-5.1 Codexopenai/gpt-5.1-codex | 1138.0 | 400K | $1.07 | $8.5 | 2025-11-13 | |||
| Hy3tencent/hy3 | 1136.0 | 256K | $0.066 | $0.26 | 2026-07-06 | |||
| MiniMax: MiniMax M2.1minimax/minimax-m2.1 | 1134.0 | 204.8K | $0.3 | $1.2 | — | |||
| GPT-5 Miniopenai/gpt-5-mini | 1130.0 | 400K | $0.25 | $2 | 2025-08-07 | |||
| OpenAI: GPT-5 Mini (batch)openai/gpt-5-mini:batch | 1130.0 | 400K | $0.125 | $1 | — | |||
| MiniMax: MiniMax M2minimax/minimax-m2 | 1118.0 | 204.8K | $0.255 | $1.02 | — | |||
| Gemini 2.5 Progoogle/gemini-2.5-pro | 1111.0 | 1.04858M | $1.25 | $10 | 2025-06-17 | |||
| Google: Gemini 2.5 Pro (batch)google/gemini-2.5-pro:batch | 1111.0 | 1.04858M | $0.625 | $5 | — | |||
| NVIDIA: Nemotron 3.5 Super VLnvidia/nemotron-3.5-super-vl | 1109.0 | 262.144K | $0.15 | $0.5 | — | |||
| NVIDIA: Nemotron 3.5 Super VL (free)nvidia/nemotron-3.5-super-vl:free | 1109.0 | 1M | Free | Free | — | |||
| Solar Mini 4upstage/solar-mini4 | 1107.0 | 524.288K | $0.1 | $0.4 | 2026-09-22 | |||
| Qwen: Qwen3.5 Plus 2026-02-15qwen/qwen3.5-plus-02-15 | 1105.0 | 1M | $0.26 | $1.56 | — | |||
| Qwen: Qwen3 Maxqwen/qwen3-max | 1101.0 | 262.144K | $0.78 | $3.9 | — | |||
| Qwen: Qwen3 Coder 480B A35Bqwen/qwen3-coder | 1099.0 | 262.144K | $0.3 | $1 | — | |||
| Anthropic: Claude Haiku 4.5anthropic/claude-haiku-4.5 | 1097.0 | 200K | $1 | $5 | — | |||
| Anthropic: Claude Haiku 4.5 (batch)anthropic/claude-haiku-4.5:batch | 1097.0 | 200K | $0.5 | $2.5 | — | |||
| GPT-5.1 Codex miniopenai/gpt-5.1-codex-mini | 1092.0 | 400K | $0.22 | $1.8 | 2025-11-13 | |||
| Mistral: Mistral Large 3 2512mistralai/mistral-large-2512 | 1080.0 | 262.144K | $0.5 | $1.5 | — | |||
| Mistral: Mistral Large 3 2512 (batch)mistralai/mistral-large-2512:batch | 1080.0 | 262.144K | $0.25 | $0.75 | — | |||
| GPT-4.1openai/gpt-4.1 | 1080.0 | 1.04758M | $2 | $8 | 2025-04-14 | |||
| OpenAI: GPT-4.1 (batch)openai/gpt-4.1:batch | 1080.0 | 1.04758M | $1 | $4 | — | |||
| Trinity Large Thinkingarcee-ai/trinity-large-thinking | 1079.0 | 524.288K | $0.25 | $0.8 | 2026-04-01 | |||
| GPT-4.1 miniopenai/gpt-4.1-mini | 1071.0 | 1.04758M | $0.4 | $1.6 | 2025-04-14 | |||
| OpenAI: GPT-4.1 Mini (batch)openai/gpt-4.1-mini:batch | 1071.0 | 1.04758M | $0.2 | $0.8 | — | |||
| Gemini 2.5 Flashgoogle/gemini-2.5-flash | 1066.0 | 1.04858M | $0.3 | $2.5 | 2025-06-17 | |||
| Google: Gemini 2.5 Flash (batch)google/gemini-2.5-flash:batch | 1065.0 | 1.04858M | $0.15 | $1.25 | — | |||
| DeepSeek Chatdeepseek/deepseek-chat | 1053.0 | 1M | $0.15 | $0.6 | 2025-12-01 | |||
| GPT-5 Nanoopenai/gpt-5-nano | 1045.0 | 400K | $0.05 | $0.4 | 2025-08-07 | |||
| OpenAI: GPT-5 Nano (batch)openai/gpt-5-nano:batch | 1045.0 | 400K | $0.025 | $0.2 | — |