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2,812 models1,617 with prices34 metricsUpdated Oct 19, 2026 ↗

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qwenListed Jul 27

Qwen: Qwen3.7 Flash

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…

1M contextImage inputVideo inputNo reported score
No reported score
$0.03in$0.13out/ 1M tokens · USDAlibaba · via OpenRouter · 3 endpointsalibaba · prompt ≤ 32000 tokens
anthropicListed Jul 24

Anthropic: Claude Opus 5

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual…

1M contextImage inputTool callingNo reported score
No reported score
$5.00in$25.00out/ 1M tokens · USDAmazon Bedrock · via OpenRouter · 14 endpointsamazon-bedrock
anthropicListed Jul 24

Anthropic: Claude Opus 5 (batch)

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual…

1M contextImage inputTool callingNo reported score
No reported score
$2.50in$12.50out/ 1M tokens · USDAnthropic · via OpenRouter · 2 endpointsanthropic
inclusionaiListed Jul 23

inclusionAI: Ling 3.0 Flash

*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic…

262.1K contextTool callingStructured outputNo reported score
No reported score
$0.021in$0.063out/ 1M tokens · USDNovita · via OpenRouter · 6 endpointsnovita
googleListed Jul 21

Google: Gemini 3.6 Flash

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...

1M contextImage inputAudio inputNo reported score
No reported score
$0.375in$1.875out/ 1M tokens · USDGoogle · via OpenRouter · 9 endpointsgoogle-vertex/global/flex · tier=flex
googleListed Jul 21

Google: Gemini 3.6 Flash (batch)

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...

1M contextImage inputAudio inputNo reported score
No reported score
$0.375in$1.875out/ 1M tokens · USDGoogle · via OpenRouter · 2 endpointsgoogle-vertex/global
googleListed Jul 21

Google: Gemini 3.5 Flash Lite

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.

1M contextImage inputAudio inputNo reported score
No reported score
$0.15in$1.25out/ 1M tokens · USDGoogle · via OpenRouter · 10 endpointsgoogle-vertex/global/flex · tier=flex
googleListed Jul 21

Google: Gemini 3.5 Flash Lite (batch)

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.

1M contextImage inputAudio inputNo reported score
No reported score
$0.15in$1.25out/ 1M tokens · USDGoogle · via OpenRouter · 2 endpointsgoogle-vertex/global
openrouterListed Jul 17

Auto Router (Beta)

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...

2M contextImage inputAudio inputNo reported score
No reported score
Price not listed
moonshotaiListed Jul 16

MoonshotAI: Kimi K3 (batch)

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...

1M contextImage inputVideo inputNo reported score
No reported score
$2.28in$11.40out/ 1M tokens · USDDeepInfra · via OpenRouter · 2 endpointsdeepinfra/bf16 · quantization=bf16
metaListed Jul 16

Meta: Muse Spark 1.1

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context window....

1M contextImage inputVideo inputNo reported score
No reported score
$1.25in$4.25out/ 1M tokens · USDMeta · via OpenRouter · 2 endpointsmeta
openaiListed Jul 9

OpenAI: GPT-5.6 Luna Pro

GPT-5.6 Luna Pro is the same underlying model as GPT-5.6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...

1.1M contextImage inputTool callingNo reported score
No reported score
$0.10in$0.60out/ 1M tokens · USDOpenAI · via OpenRouter · 6 endpointsopenai/flex · tier=flex · prompt ≤ 272000 tokens
openaiListed Jul 9

OpenAI: GPT-5.6 Luna Pro (batch)

GPT-5.6 Luna Pro is the same underlying model as GPT-5.6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...

1.1M contextImage inputTool callingNo reported score
No reported score
$0.10in$0.60out/ 1M tokens · USDOpenAI · via OpenRouter · 2 endpointsopenai · prompt ≤ 272000 tokens
openaiListed Jul 9

OpenAI: GPT-5.6 Luna

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing…

1.1M contextImage inputTool callingNo reported score
No reported score
$0.10in$0.60out/ 1M tokens · USDOpenAI · via OpenRouter · 9 endpointsopenai/flex · tier=flex · prompt ≤ 272000 tokens
openaiListed Jul 9

OpenAI: GPT-5.6 Luna (batch)

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing…

1.1M contextImage inputTool callingNo reported score
No reported score
$0.10in$0.60out/ 1M tokens · USDOpenAI · via OpenRouter · 2 endpointsopenai · prompt ≤ 272000 tokens
openaiListed Jul 9

OpenAI: GPT-5.6 Terra Pro

GPT-5.6 Terra Pro is the same underlying model as GPT-5.6 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...

1.1M contextImage inputTool callingNo reported score
No reported score
$1.00in$6.00out/ 1M tokens · USDOpenAI · via OpenRouter · 6 endpointsopenai/flex · tier=flex · prompt ≤ 272000 tokens
openaiListed Jul 9

OpenAI: GPT-5.6 Terra Pro (batch)

GPT-5.6 Terra Pro is the same underlying model as GPT-5.6 Terra, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...

1.1M contextImage inputTool callingNo reported score
No reported score
$1.00in$6.00out/ 1M tokens · USDOpenAI · via OpenRouter · 2 endpointsopenai · prompt ≤ 272000 tokens
openaiListed Jul 9

OpenAI: GPT-5.6 Terra

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...

1.1M contextImage inputTool callingNo reported score
No reported score
$1.00in$6.00out/ 1M tokens · USDOpenAI · via OpenRouter · 9 endpointsopenai/flex · tier=flex · prompt ≤ 272000 tokens
openaiListed Jul 9

OpenAI: GPT-5.6 Terra (batch)

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...

1.1M contextImage inputTool callingNo reported score
No reported score
$1.00in$6.00out/ 1M tokens · USDOpenAI · via OpenRouter · 2 endpointsopenai · prompt ≤ 272000 tokens
openaiListed Jul 9

OpenAI: GPT-5.6 Sol Pro

GPT-5.6 Sol Pro is the same underlying model as GPT-5.6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...

1.1M contextImage inputTool callingNo reported score
No reported score
$2.00in$10.00out/ 1M tokens · USDOpenAI · via OpenRouter · 6 endpointsopenai/flex · tier=flex · prompt ≤ 272000 tokens