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...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding...
Native multimodal hybrid MoE model for image and video understanding, reasoning, and visual agents
Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...
Original GPT-5 workhorse for reasoning, coding, writing, and tool workflows
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...
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...
Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...
Multimodal MoE reasoning model (276B total, 12B active) for text, image, and audio
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...
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,...
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,...
Earlier Kimi frontier model for long-context agents, coding, and multimodal work
Newer StepFun flash model for faster agents, coding, and multimodal prompts
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...
Coding-focused Kimi model, stronger on long-horizon repo work with less overthinking
Multimodal Kimi workhorse for agent loops, coding tasks, and visual context
Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image, and video inputs...
Strong small GPT for coding subagents, quick tool use, and high-volume work
GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...
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%),...
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...
Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...
Cheapest GPT-5.4 lane for simple routing, extraction, and bulk automation
GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...
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...
Open MiMo model for multimodal coding agents and long-context automation
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...
Fast Gemini model balancing multimodal reasoning, tool use, and cost
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...
The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...
Muse Glimmer is a 30-billion-parameter open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark for always-on local agents, tool use, coding, and image understanding.
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...
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...
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...
The Qwen3.5 122B-A10B 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. In terms of...
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...
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....
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| Qwen: Qwen3.6 Plusqwen/qwen3.6-plus | 29.0 | 1M | $0.325 | $1.95 | — | |||
| SpaceXAI: Grok Build 0.1x-ai/grok-build-0.1 | 28.9 | 256K | $1 | $2 | — | |||
| Ling 3.0 Flash VLinclusionai/ling-3.0-flash-vl | 28.7 | 262.144K | $0.06 | $0.18 | 2026-09-10 | |||
| inclusionAI: Ling 3.0 Flash VL (free)inclusionai/ling-3.0-flash-vl:free | 28.7 | 262.144K | Free | Free | — | |||
| GPT-5openai/gpt-5 | 26.5 | 400K | $1.25 | $10 | 2025-08-07 | |||
| OpenAI: GPT-5 (batch)openai/gpt-5:batch | 26.5 | 400K | $0.625 | $5 | — | |||
| Gemini 3.5 Flashgoogle/gemini-3.5-flash | 26.0 | 1.04858M | $1.5 | $9 | 2026-05-19 | |||
| Google: Gemini 3.5 Flash (batch)google/gemini-3.5-flash:batch | 26.0 | 1.04858M | $0.75 | $4.5 | — | |||
| Muse Spark 1.1meta/muse-spark-1.1 | 25.8 | 1.04858M | $1.25 | $4.25 | 2026-04-08 | |||
| Thinking Machines: Inkling Small (batch)thinkingmachines/inkling-small:batch | 25.0 | 524.288K | $0.5 | $1.2 | — | |||
| Inkling Smallthinkingmachines/inkling-small | 23.5 | 1.04858M | $0.3 | $1.2 | 2026-07-30 | |||
| Thinking Machines: Inkling Small (free)thinkingmachines/inkling-small:free | 23.5 | 1.04858M | Free | Free | — | |||
| Inklingthinkingmachines/inkling | 22.5 | 1.04858M | $1.87 | $4.68 | 2026-07-15 | |||
| Thinking Machines: Inkling (batch)thinkingmachines/inkling:batch | 22.5 | 524.288K | $1 | $4.05 | — | |||
| Thinking Machines: Inkling (free)thinkingmachines/inkling:free | 22.5 | 1.04858M | Free | Free | — | |||
| Kimi K2.5moonshotai/kimi-k2.5 | 21.7 | 262.144K | $0.375 | $2 | 2026-01-27 | |||
| Step 3.7 Flashstepfun/step-3.7-flash | 21.7 | 256K | $0.202 | $1.211 | 2026-05-29 | |||
| GPT-5.1openai/gpt-5.1 | 21.6 | 400K | $1.25 | $10 | 2025-11-13 | |||
| OpenAI: GPT-5.1 (batch)openai/gpt-5.1:batch | 21.6 | 400K | $0.625 | $5 | — | |||
| Kimi K2.7 Codemoonshotai/kimi-k2.7-code | 21.0 | 262.144K | $0.95 | $4 | 2026-06-12 | |||
| Kimi K2.6moonshotai/kimi-k2.6 | 20.5 | 262.144K | $0.95 | $4 | 2026-04-20 | |||
| Qwen: Qwen3.6 27Bqwen/qwen3.6-27b | 18.5 | 262.144K | $0.25 | $2 | — | |||
| GPT-5.4 miniopenai/gpt-5.4-mini | 17.9 | 400K | $0.75 | $4.5 | 2026-03-17 | |||
| OpenAI: GPT-5.4 Mini (batch)openai/gpt-5.4-mini:batch | 17.9 | 400K | $0.375 | $2.25 | — | |||
| Anthropic: Claude Sonnet 4anthropic/claude-sonnet-4 | 17.6 | 200K | $3 | $15 | — | |||
| Qwen: Qwen3.7 Plusqwen/qwen3.7-plus | 17.5 | 1M | $0.32 | $1.28 | — | |||
| Qwen: Qwen3.7 Plus (batch)qwen/qwen3.7-plus:batch | 17.5 | 262.144K | $0.23 | $0.92 | — | |||
| GPT-5.4 nanoopenai/gpt-5.4-nano | 16.0 | 400K | $0.2 | $1.25 | 2026-03-17 | |||
| OpenAI: GPT-5.4 Nano (batch)openai/gpt-5.4-nano:batch | 16.0 | 400K | $0.1 | $0.625 | — | |||
| Anthropic: Claude Sonnet 4.5anthropic/claude-sonnet-4.5 | 15.8 | 1M | $3 | $15 | — | |||
| Anthropic: Claude Sonnet 4.5 (batch)anthropic/claude-sonnet-4.5:batch | 15.8 | 1M | $1.5 | $7.5 | — | |||
| MiMo-V2.5xiaomi/mimo-v2.5 | 15.8 | 1.04858M | $0.14 | $0.28 | 2026-04-22 | |||
| SpaceXAI: Grok 4.3x-ai/grok-4.3 | 15.5 | 1M | $1.25 | $2.5 | — | |||
| SpaceXAI: Grok 4.3 (batch)x-ai/grok-4.3:batch | 15.5 | 1M | $1 | $2 | — | |||
| Gemini 3.5 Flash Litegoogle/gemini-3.5-flash-lite | 14.3 | 1.04858M | $0.3 | $2.5 | 2026-07-21 | |||
| Google: Gemini 3.5 Flash Lite (batch)google/gemini-3.5-flash-lite:batch | 14.3 | 1.04858M | $0.15 | $1.25 | — | |||
| Qwen: Qwen3.6 35B A3Bqwen/qwen3.6-35b-a3b | 13.1 | 262.144K | $0.1 | $0.95 | — | |||
| Qwen: Qwen3.5-35B-A3Bqwen/qwen3.5-35b-a3b | 11.8 | 262.144K | $0.14 | $1 | — | |||
| Muse Glimmer 30Bmeta/muse-glimmer-30b | 8.5 | 131.072K | $0.2 | $0.8 | 2026-08-10 | |||
| Qwen: Qwen3.5 397B A17Bqwen/qwen3.5-397b-a17b | 8.3 | 262.144K | $0.5 | $3.6 | — | |||
| Gemini 3.1 Pro Previewgoogle/gemini-3.1-pro-preview | 8.2 | 1.04858M | $2 | $12 | 2026-02-19 | |||
| Google: Gemini 3.1 Pro Preview (batch)google/gemini-3.1-pro-preview:batch | 8.2 | 1.04858M | $1 | $6 | — | |||
| Anthropic: Claude Haiku 4.5anthropic/claude-haiku-4.5 | 8.0 | 200K | $1 | $5 | — | |||
| Anthropic: Claude Haiku 4.5 (batch)anthropic/claude-haiku-4.5:batch | 8.0 | 200K | $0.5 | $2.5 | — | |||
| Qwen: Qwen3.5-122B-A10Bqwen/qwen3.5-122b-a10b | 7.6 | 262.144K | $0.4 | $3.2 | — | |||
| Mistral: Mistral Medium 3.5mistralai/mistral-medium-3-5 | 7.0 | 262.144K | $1.5 | $7.5 | — | |||
| Mistral: Mistral Medium 3.5 (batch)mistralai/mistral-medium-3-5:batch | 7.0 | 262.144K | $0.75 | $3.75 | — | |||
| Qwen: Qwen3.5-9B (batch)qwen/qwen3.5-9b:batch | 7.0 | 262.144K | $0.17 | $0.25 | — | |||
| GPT-5 Miniopenai/gpt-5-mini | 6.8 | 400K | $0.25 | $2 | 2025-08-07 | |||
| OpenAI: GPT-5 Mini (batch)openai/gpt-5-mini:batch | 6.8 | 400K | $0.125 | $1 | — |