Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
Open MiMo model for multimodal coding agents and long-context automation
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...
Reasoning-first Gemini preview for agentic coding and complex problem solving
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...
Fast Gemini model balancing multimodal reasoning, tool use, and cost
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
Agent-ready GPT for coding and computer-use workflows at a lower cost
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...
Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...
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...
Grok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...
Inception's diffusion reasoning model for chat, multi-step problem solving, and tool use
Open MoE flagship with million-token context for coding and long agent runs
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding
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 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...
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,...
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...
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...
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...
Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work
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...
DeepSeek chat model for instruction following, coding, and analysis
Low-latency Gemini model for high-volume multimodal and agent workloads
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...
Tiny GPT-4.1 option for classification, routing, and very high-volume tasks
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...
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Anthropic: Claude Sonnet 5 (batch)anthropic/claude-sonnet-5:batch | 1252.0 | 1M | $1 | $5 | — | |||
| MiniMax: MiniMax M3 (free)minimax/minimax-m3:free | 1251.0 | 1.04858M | Free | Free | — | |||
| MiMo-V2.5xiaomi/mimo-v2.5 | 1250.0 | 1.04858M | $0.14 | $0.28 | 2026-04-22 | |||
| Anthropic: Claude Opus 4.8anthropic/claude-opus-4.8 | 1241.0 | 1M | $5 | $25 | — | |||
| Anthropic: Claude Opus 4.8 (batch)anthropic/claude-opus-4.8:batch | 1241.0 | 1M | $2.5 | $12.5 | — | |||
| Gemini 3.1 Pro Previewgoogle/gemini-3.1-pro-preview | 1239.0 | 1.04858M | $2 | $12 | 2026-02-19 | |||
| Google: Gemini 3.1 Pro Preview (batch)google/gemini-3.1-pro-preview:batch | 1239.0 | 1.04858M | $1 | $6 | — | |||
| Gemini 3.5 Flashgoogle/gemini-3.5-flash | 1236.0 | 1.04858M | $1.5 | $9 | 2026-05-19 | |||
| Google: Gemini 3.5 Flash (batch)google/gemini-3.5-flash:batch | 1236.0 | 1.04858M | $0.75 | $4.5 | — | |||
| GPT-5.4openai/gpt-5.4 | 1235.0 | 1.05M | $2.5 | $15 | 2026-03-05 | |||
| OpenAI: GPT-5.4 (batch)openai/gpt-5.4:batch | 1235.0 | 1.05M | $1.25 | $7.5 | — | |||
| Qwen: Qwen3.6 Plusqwen/qwen3.6-plus | 1228.0 | 1M | $0.325 | $1.95 | — | |||
| Gemini 2.5 Progoogle/gemini-2.5-pro | 1222.0 | 1.04858M | $1.25 | $10 | 2025-06-17 | |||
| Google: Gemini 2.5 Pro (batch)google/gemini-2.5-pro:batch | 1221.0 | 1.04858M | $0.625 | $5 | — | |||
| SpaceXAI: Grok 4.20x-ai/grok-4.20 | 1217.0 | 2M | $1.25 | $2.5 | — | |||
| Mercury 3inception/mercury-3 | 1208.0 | 1M | $0.1 | $0.35 | 2026-10-16 | |||
| DeepSeek V4 Prodeepseek/deepseek-v4-pro | 1203.0 | 1M | $0.66 | $1.98 | 2026-04-24 | |||
| DeepSeek: DeepSeek V4 Flash 0731 (free)deepseek/deepseek-v4-flash-0731:free | 1197.0 | 1.04858M | Free | Free | — | |||
| DeepSeek: DeepSeek V4 Flash 0731 (batch)deepseek/deepseek-v4-flash-0731:batch | 1196.0 | 1.04858M | $0.11 | $0.33 | — | |||
| DeepSeek V4 Flash 0731deepseek/deepseek-v4-flash-0731 | 1180.0 | 1M | $0.035 | $0.07 | 2026-07-31 | |||
| SpaceXAI: Grok 4.3x-ai/grok-4.3 | 1180.0 | 1M | $1.25 | $2.5 | — | |||
| SpaceXAI: Grok 4.3 (batch)x-ai/grok-4.3:batch | 1180.0 | 1M | $1 | $2 | — | |||
| 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 | — | |||
| Inklingthinkingmachines/inkling | 1156.0 | 1.04858M | $1 | $4.05 | 2026-07-15 | |||
| Thinking Machines: Inkling (free)thinkingmachines/inkling:free | 1156.0 | 1.04858M | Free | Free | — | |||
| Nemotron 3 Ultra 550B A55Bnvidia/nemotron-3-ultra-550b-a55b | 1141.0 | 1M | $0.1 | $0.1 | 2026-06-04 | |||
| NVIDIA: Nemotron 3 Ultra (free)nvidia/nemotron-3-ultra-550b-a55b:free | 1141.0 | 1M | Free | Free | — | |||
| Qwen: Qwen3.5 Plus 2026-02-15qwen/qwen3.5-plus-02-15 | 1135.0 | 1M | $0.26 | $1.56 | — | |||
| Gemini 2.5 Flashgoogle/gemini-2.5-flash | 1134.0 | 1.04858M | $0.3 | $2.5 | 2025-06-17 | |||
| Google: Gemini 2.5 Flash (batch)google/gemini-2.5-flash:batch | 1133.0 | 1.04858M | $0.15 | $1.25 | — | |||
| DeepSeek V4 Flashdeepseek/deepseek-v4-flash | 1127.0 | 1M | $0.15 | $0.6 | 2026-04-24 | |||
| GPT-4.1openai/gpt-4.1 | 1104.0 | 1.04758M | $2 | $8 | 2025-04-14 | |||
| OpenAI: GPT-4.1 (batch)openai/gpt-4.1:batch | 1104.0 | 1.04758M | $1 | $4 | — | |||
| DeepSeek Chatdeepseek/deepseek-chat | 1089.0 | 1M | $0.15 | $0.6 | 2025-12-01 | |||
| Gemini 3.1 Flash Lite Previewgoogle/gemini-3.1-flash-lite-preview | 1045.0 | 1.04858M | $0.25 | $1.5 | 2026-03-03 | |||
| GPT-4.1 miniopenai/gpt-4.1-mini | 1034.0 | 1.04758M | $0.4 | $1.6 | 2025-04-14 | |||
| OpenAI: GPT-4.1 Mini (batch)openai/gpt-4.1-mini:batch | 1034.0 | 1.04758M | $0.2 | $0.8 | — | |||
| GPT-4.1 nanoopenai/gpt-4.1-nano | 891.0 | 1.04758M | $0.1 | $0.4 | 2025-04-14 | |||
| OpenAI: GPT-4.1 Nano (batch)openai/gpt-4.1-nano:batch | 891.0 | 1.04758M | $0.05 | $0.2 | — |