Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Flagship Claude model for deep reasoning, coding, and long-horizon agents
Efficient open MiniMax model built for coding agents and tool-heavy workflows
GPT-5 Pro 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...
Late GLM-4 workhorse for coding agents, reasoning, and structured tasks
Gemma 3 27B tuned by AI Singapore for Southeast Asian languages and instruction following
Flagship Qwen3 model for coding agents, complex reasoning, and tool use
Qwen vision-language thinking model for visual reasoning, documents, and agent tasks
Qwen vision-language instruct model for visual reasoning, documents, and agent tasks
Qwen instruction model for multilingual chat, reasoning, and tool use
Efficient Qwen thinking model for local reasoning, math, and coding agents
Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation,...
Compact Nemotron model for efficient reasoning and deployable AI agents
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...
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....
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...
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...
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...
Qwen coding model for software agents, repository edits, and code reasoning
Hosted Qwen coder for software agents, repo edits, and long-context code
Updated large open Qwen3 MoE instruct model for multilingual chat, coding, and tool use
Instruct model with native audio input for speech understanding and tool use
The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...
Mistral model for multilingual chat, reasoning, and tool-assisted workflows
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...
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....
Nemotron model for efficient reasoning, coding, and specialized AI agents
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...
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...
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
Smaller Qwen coder for efficient local agents and repo-level fixes
Open Qwen coding heavyweight for repository reasoning and agentic engineering
March 2025 checkpoint of DeepSeek-V3 with improved reasoning and coding
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...
Mistral reasoning model for transparent analysis, math, and complex decisions
Cohere command model for multilingual enterprise agents, tools, and chat
Qwen reasoning model for deliberate problem solving, math, and coding
Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...
DeepSeek R1 is here: 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 in an inference pass....
Open DeepSeek MoE chat model for coding, math, and general reasoning
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to...
Popular open Llama workhorse for multilingual chat, coding, and self-hosting
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
Efficient model for low-latency assistance, extraction, and routine automation
Efficient model for low-latency assistance, extraction, and routine automation
Flagship model for demanding analysis, coding, and production agent workflows
Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning...
The 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored writing to improve relevance & readability. It’s also better at working with uploaded...
Open coding-focused Qwen model for code generation, repair, and repository reasoning
Flagship Mistral model for advanced reasoning, coding, and multilingual work
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| MoonshotAI: Kimi K2 Thinkingmoonshotai/kimi-k2-thinking | 262.144K | $0.6 | $2.5 | 2025-11-06 | |||
| Claude Opus 4.5anthropic/claude-opus-4-5-20251101 | 200K | $5 | $25 | 2025-11-01 | |||
| MiniMax-M2minimax/MiniMax-M2 | 204.8K | $0.3 | $1.2 | 2025-10-27 | |||
| OpenAI: GPT-5 Proopenai/gpt-5-pro | 400K | $15 | $120 | 2025-10-06 | |||
| GLM-4.6zhipuai/glm-4.6 | 204.8K | $0.6 | $2.2 | 2025-09-30 | |||
| Gemma-SEA-LION-v4-27B-ITaisingapore/gemma-sea-lion-v4-27b-it | 128K | — | — | 2025-09-23 | |||
| Qwen3 Maxalibaba/qwen3-max | 262.144K | $1.2 | $6 | 2025-09-23 | |||
| Qwen3 VL 235B A22B Thinkingalibaba/qwen3-vl-235b-a22b-thinking | 131.072K | $0.4 | $4 | 2025-09-23 | |||
| Qwen3 VL 235B A22B Instructalibaba/qwen3-vl-235b-a22b-instruct | 131.072K | $0.2 | $0.88 | 2025-09-23 | |||
| Qwen3-Next 80B-A3B Instructalibaba/qwen3-next-80b-a3b-instruct | 131.072K | $0.5 | $2 | 2025-09 | |||
| Qwen3-Next 80B-A3B (Thinking)alibaba/qwen3-next-80b-a3b-thinking | 131.072K | $0.5 | $6 | 2025-09 | |||
| Google: Nano Banana (Gemini 2.5 Flash Image)google/gemini-2.5-flash-image | 32.768K | $0.3 | $2.5 | 2025-08-26 | |||
| Nemotron Nano 9B v2nvidia/nemotron-nano-9b-v2 | 131.072K | $0.06 | $0.23 | 2025-08-18 | |||
| OpenAI: GPT-5openai/gpt-5 | 400K | $1.25 | $10 | 2025-08-07 | |||
| OpenAI: GPT-5 Miniopenai/gpt-5-mini | 400K | $0.25 | $2 | 2025-08-07 | |||
| OpenAI: GPT-5 Nanoopenai/gpt-5-nano | 400K | $0.05 | $0.4 | 2025-08-07 | |||
| OpenAI: gpt-oss-120bopenai/gpt-oss-120b | 131.072K | $0.037 | $0.17 | 2025-08-05 | |||
| OpenAI: gpt-oss-20bopenai/gpt-oss-20b | 131.072K | $0.03 | $0.13 | 2025-08-05 | |||
| Qwen3 Coder Flashalibaba/qwen3-coder-flash | 1M | $0.3 | $1.5 | 2025-07-28 | |||
| Qwen3 Coder Plusalibaba/qwen3-coder-plus | 1.04858M | $1 | $5 | 2025-07-23 | |||
| Qwen3 235B-A22B Instruct 2507alibaba/qwen3-235b-a22b-instruct-2507 | 262.144K | $0.069 | $0.455 | 2025-07-21 | |||
| Voxtral Small (latest)mistral/voxtral-small-latest | 32K | $0.1 | $0.3 | 2025-07-15 | |||
| OpenAI: o3 Proopenai/o3-pro | 200K | $20 | $80 | 2025-06-10 | |||
| Mistral Medium 3mistral/mistral-medium-2505 | 131.072K | $0.4 | $2 | 2025-05-07 | |||
| OpenAI: o4 Miniopenai/o4-mini | 200K | $1.1 | $4.4 | 2025-04-16 | |||
| OpenAI: o3openai/o3 | 200K | $2 | $8 | 2025-04-16 | |||
| Llama 3.1 Nemotron 70B Instructnvidia/llama-3.1-nemotron-70b-instruct | 128K | — | — | 2025-04-15 | |||
| OpenAI: GPT-4.1openai/gpt-4.1 | 1.04758M | $2 | $8 | 2025-04-14 | |||
| OpenAI: GPT-4.1 Miniopenai/gpt-4.1-mini | 1.04758M | $0.4 | $1.6 | 2025-04-14 | |||
| OpenAI: GPT-4.1 Nanoopenai/gpt-4.1-nano | 1.04758M | $0.1 | $0.4 | 2025-04-14 | |||
| Qwen3-Coder 30B-A3B Instructalibaba/qwen3-coder-30b-a3b-instruct | 262.144K | $0.45 | $2.25 | 2025-04 | |||
| Qwen3-Coder 480B-A35B Instructalibaba/qwen3-coder-480b-a35b-instruct | 262.144K | $1.5 | $7.5 | 2025-04 | |||
| DeepSeek V3 0324deepseek/deepseek-v3-0324 | 163.84K | $0.2 | $0.8 | 2025-03-24 | |||
| OpenAI: o1-proopenai/o1-pro | 200K | $150 | $600 | 2025-03-19 | |||
| Magistral Medium (latest)mistral/magistral-medium-latest | 128K | $2 | $5 | 2025-03-17 | |||
| Command Acohere/command-a-03-2025 | 256K | $2.5 | $10 | 2025-03-13 | |||
| QwQ Plusalibaba/qwq-plus | 131.072K | $0.8 | $2.4 | 2025-03-05 | |||
| Perplexity: Sonar Deep Researchperplexity/sonar-deep-research | 128K | $2 | $8 | 2025-02-01 | |||
| DeepSeek: R1deepseek/deepseek-r1 | 64K | $0.7 | $2.5 | 2025-01-20 | |||
| DeepSeek-V3deepseek/deepseek-v3 | 131.072K | $0.27 | $1.12 | 2024-12-26 | |||
| OpenAI: o3 Miniopenai/o3-mini | 200K | $1.1 | $4.4 | 2024-12-20 | |||
| Llama-3.3-70B-Instructmeta/llama-3.3-70b-instruct | 128K | $0.1 | $0.32 | 2024-12-06 | |||
| OpenAI: o1openai/o1 | 200K | $15 | $60 | 2024-12-05 | |||
| Nova Microamazon/nova-micro | 128K | $0.035 | $0.14 | 2024-12-03 | |||
| Nova Liteamazon/nova-lite | 300K | $0.06 | $0.24 | 2024-12-03 | |||
| Nova Proamazon/nova-pro | 300K | $0.8 | $3.2 | 2024-12-03 | |||
| Cohere: Command R7B (12-2024)cohere/command-r7b-12-2024 | 128K | $0.037 | $0.15 | 2024-12-02 | |||
| OpenAI: GPT-4o (2024-11-20)openai/gpt-4o-2024-11-20 | 128K | $2.5 | $10 | 2024-11-20 | |||
| Qwen2.5-Coder-32B-Instructalibaba/qwen2.5-coder-32b-instruct | 131.072K | $0.06 | $0.2 | 2024-11-12 | |||
| Mistral Large (latest)mistral/mistral-large-latest | 262.144K | $0.5 | $1.5 | 2024-11-01 |