108 models
Reasoning Tools

Multimodal reasoning model for visual analysis, planning, and tool use

amazon/nova-2-lite-v1 2025-12-02 1M context $0.3/M input $2.5/M output
6 providers
Reasoning

Multimodal reasoning model for visual analysis, planning, and tool use

amazon/nova-2-lite 2025-12-02 1M context $0.33/M input $2.75/M output
5 providers
Reasoning Tools

Preview Gemini flagship for complex reasoning, coding, and rich multimodal prompts

google/gemini-3-pro-preview 2025-11-18 1.04858M context $0.57/M input $3.43/M output
10 providers

September 2025 preview of Gemini 2.5 Flash-Lite with better instruction following and multimodal quality

google/gemini-2.5-flash-lite-preview-09-2025 2025-09-25 1.04858M context Input not listed Output not listed
Reasoning Tools JSON

Lean Gemini 2.5 lane for cheap multimodal traffic and quick agents

google/gemini-2.5-flash-lite 2025-06-17 1.04858M context $0.1/M input $0.4/M output
19 providers
Reasoning Tools JSON

Fast Gemini workhorse for multimodal apps where latency and price matter

google/gemini-2.5-flash 2025-06-17 1.04858M context $0.3/M input $2.5/M output
32 providers
Reasoning Tools JSON

Google's proven reasoning model for coding, math, and multimodal analysis

google/gemini-2.5-pro 2025-06-17 1.04858M context $1.25/M input $10/M output
31 providers

First preview of Gemini 2.5 Flash-Lite, the low-cost, low-latency 2.5 model

google/gemini-2.5-flash-lite-preview-06-17 2025-06-17 1.04858M context Input not listed Output not listed

Preview snapshot of Gemini 2.5 Flash with controllable thinking budgets

google/gemini-2.5-flash-preview-05-20 2025-05-20 1.04858M context Input not listed Output not listed

Multimodal model for complex analysis, long-context understanding, tool use, and model distillation

amazon/nova-premier 2025-04-30 1M context Input not listed Output not listed
Tools

Earlier Gemini Flash workhorse for responsive multimodal apps and tool use

google/gemini-2.0-flash 2024-12-11 1.04858M context $0.1/M input $0.42/M output
3 providers
Tools

Low-latency Gemini model for high-volume multimodal and agent workloads

google/gemini-2.0-flash-lite 2024-12-11 1.04858M context $0.052/M input $0.21/M output
2 providers
Reasoning Tools JSON

Most capable Vision model for complex reasoning, detailed media analysis, and structured output over a 1M-token context window.

vispark/vision-large 2024-05-15 1M context $7.37/M input $22.11/M output
1 provider
Reasoning Tools JSON

Balanced multimodal model pairing a 1M-token context window with deeper reasoning for analysis, content creation, and tool use across text, image, audio, video, and PDF inputs.

vispark/vision-medium 2024-05-15 1M context $4.21/M input $12.63/M output
1 provider
Reasoning Tools JSON

Fast, low-cost multimodal model for understanding text, images, audio, video, and PDFs, with tool calling and a 1M-token context window.

vispark/vision-small 2024-05-15 1M context $1.05/M input $3.16/M output
1 provider

This model always redirects to the latest model in the Gemini Pro family.

~google/gemini-pro-latest 1.04858M context $2/M input $10/M output

This model always redirects to the latest model in the Kimi family.

~moonshotai/kimi-latest 1.04858M context $0.19/M input $8.94/M output

This model always redirects to the latest model in the Gemini Flash family.

~google/gemini-flash-latest 1.04858M context $0.75/M input $3.75/M output

Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window. This...

qwen/qwen3.5-plus-20260420 1M context $0.3/M input $1.8/M output

Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in...

qwen/qwen3.6-flash 1M context $0.188/M input $1.125/M output

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...

qwen/qwen3.6-plus 1M context $0.325/M input $1.95/M output

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...

qwen/qwen3.5-flash-02-23 1M context $0.065/M input $0.26/M output

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...

qwen/qwen3.5-plus-02-15 1M context $0.26/M input $1.56/M output

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...

google/gemini-2.5-pro-preview-05-06 1.04858M context $1.25/M input $10/M output

The Auto Router automatically selects the best model for your prompt, powered by the wisdom of the market. It routes you based on what the OpenRouter community collectively spends on...

openrouter/auto 2M context Input not listed Output not listed

The experimental version of our Auto Router where we test new improvements. Use it to get the latest and greatest version of our general purpose auto router, but expect beta...

openrouter/auto-beta 2M context Input not listed Output not listed

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition, spatial understanding, and real-world...

qwen/qwen3.7-flash 1M context $0.03/M input $0.13/M output

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...

google/gemini-3.6-flash:batch 1.04858M context $0.375/M input $1.875/M output

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.

google/gemini-3.5-flash-lite:batch 1.04858M context $0.15/M input $1.25/M output

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...

google/gemini-3.5-flash:batch 1.04858M context $0.75/M input $4.5/M output

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...

google/gemini-3.1-flash-lite:batch 1.04858M context $0.125/M input $0.75/M output

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...

google/gemini-3.1-pro-preview:batch 1.04858M context $1/M input $6/M output

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...

google/gemini-3-flash-preview:batch 1.04858M context $0.25/M input $1.5/M output

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...

google/gemini-2.5-flash-lite:batch 1.04858M context $0.05/M input $0.2/M output

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...

google/gemini-2.5-flash:batch 1.04858M context $0.15/M input $1.25/M output

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...

google/gemini-2.5-pro:batch 1.04858M context $0.625/M input $5/M output

Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max Preview. It is a multimodal reasoning model intended for complex reasoning, visual understanding,...

qwen/qwen3.8-max 1M context $2/M input $6/M output

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...

google/gemini-3.7-flash:batch 1.04858M context $0.375/M input $1.875/M output

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...

meta/muse-spark-1.2-contributor 1.04858M context $0.1/M input $0.2/M output

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.

qwen/qwen3.8-flash 1M context $0.15/M input $0.47/M output

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...

z-ai/glm-5.3-flash 1.04858M context $0.15/M input $0.5/M output

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...

z-ai/glm-5.3-flash:batch 1.04858M context $0.05/M input $0.18/M output

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...

moonshotai/kimi-k3:batch 1.04858M context $2.28/M input $11.4/M output

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,...

minimax/minimax-m3:free 1.04858M context Free input Free output

This model always redirects to the latest model in the GLM Flash family.

~z-ai/glm-flash-latest 1.04858M context $0.051/M input $0.07/M output

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.

google/gemini-3.8-flash:batch 1.04858M context $0.375/M input $1.875/M output

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...

meta/muse-spark-1.3-contributor 1.04858M context $0.1/M input $0.2/M output

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...

qwen/qwen3.8-max-0902 1M context $2/M input $6/M output

GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture...

z-ai/glm-5.3-flashx 1.04858M context $0.37/M input $1.25/M output

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,...

qwen/qwen3.8-omni-flash 1M context $0.15/M input $0.47/M output