Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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.
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...
Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...
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...
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...
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better 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...
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...
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,...
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...
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...
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...
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,...
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...
Jev Router picks the best model and reasoning effort for each request, balancing quality, speed, and cost. It runs on [Jev](https://openrouter.ai/~typesafe/jev-latest), TypeSafe's first System One model, and adapts as your...
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| Google: Gemini 3.6 Flash (batch)google/gemini-3.6-flash:batch | 1.04858M | $0.375 | $1.875 | — | |||
| Google: Gemini 3.5 Flash Lite (batch)google/gemini-3.5-flash-lite:batch | 1.04858M | $0.15 | $1.25 | — | |||
| Google: Gemini 3.5 Flash (batch)google/gemini-3.5-flash:batch | 1.04858M | $0.75 | $4.5 | — | |||
| Google: Gemini 3.1 Flash Lite (batch)google/gemini-3.1-flash-lite:batch | 1.04858M | $0.125 | $0.75 | — | |||
| Google: Gemini 3.1 Pro Preview (batch)google/gemini-3.1-pro-preview:batch | 1.04858M | $1 | $6 | — | |||
| Google: Gemini 3 Flash Preview (batch)google/gemini-3-flash-preview:batch | 1.04858M | $0.25 | $1.5 | — | |||
| Google: Gemini 2.5 Flash Lite (batch)google/gemini-2.5-flash-lite:batch | 1.04858M | $0.05 | $0.2 | — | |||
| Google: Gemini 2.5 Flash (batch)google/gemini-2.5-flash:batch | 1.04858M | $0.15 | $1.25 | — | |||
| Google: Gemini 2.5 Pro (batch)google/gemini-2.5-pro:batch | 1.04858M | $0.625 | $5 | — | |||
| Thinking Machines: Inkling (batch)thinkingmachines/inkling:batch | 524.288K | $1 | $4.05 | — | |||
| Google: Gemini 3.7 Flash (batch)google/gemini-3.7-flash:batch | 1.04858M | $0.375 | $1.875 | — | |||
| Thinking Machines: Inkling Small (batch)thinkingmachines/inkling-small:batch | 524.288K | $0.5 | $1.2 | — | |||
| Thinking Machines: Inkling Small (free)thinkingmachines/inkling-small:free | 1.04858M | Free | Free | — | |||
| Thinking Machines: Inkling (free)thinkingmachines/inkling:free | 1.04858M | Free | Free | — | |||
| Google: Gemini 3.8 Flash (batch)google/gemini-3.8-flash:batch | 1.04858M | $0.375 | $1.875 | — | |||
| Qwen: Qwen3.8 Omni Flashqwen/qwen3.8-omni-flash | 1M | $0.15 | $0.47 | — | |||
| TypeSafe: Jev Routertypesafe/jev-router | 1M | — | — | — | |||
| Meta: Muse Wondermeta/muse-wonder | 1.04858M | $4 | $20 | — | |||
| Google: Gemini 4 Argon (batch)google/gemini-4-argon:batch | 1.04858M | $1 | $5 | — |