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2,849 models1,624 with prices34 metricsUpdated Oct 22, 2026 ↗

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z-aiListed Aug 26

Z.ai: GLM 5.3 Flash (batch)

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…

1M contextImage inputVideo inputNo reported score
No reported score
$0.05in$0.18out/ 1M tokens · USDSail Research · via OpenRouter · 3 endpointssail-research/fp4 · quantization=fp4
zai-orgReleased Aug 26

GLM-5.3-Flash

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…

1M contextImage inputVideo input
$0.0107in$0.1707out/ 1M tokens · USDOpenInference · via OpenRouter · 44 endpointsopen-inference/fp4 · quantization=fp4
metaListed Aug 21

Meta: Muse Spark 1.2 Contributor

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...

1M contextImage inputVideo inputNo reported score
No reported score
$0.10in$0.20out/ 1M tokens · USDMeta · via OpenRouter · 2 endpointsmeta
dots-studioListed Aug 14

Dots Studio: Dots3-Note Preview (free)

Dots3-Note Preview is an open-weight mixture-of-experts model from Dots Studio, with 16B active parameters out of 280B total. It is the lightest model in the Dots 3 family and is...

512K contextImage inputTool callingNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDAtlasCloud · via OpenRouter · 2 endpointsatlas-cloud/fp8 · quantization=fp8
QwenReleased Aug 14

Qwen3.8-27B

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking…

1M context27BImage inputVideo input
$0.035in$2.20out/ 1M tokens · USDDarkbloom · via OpenRouter · 27 endpointsdarkbloom/fp4 · quantization=fp4
googleListed Aug 13

Google: Gemini 3.7 Flash

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...

1M contextImage inputAudio inputNo reported score
No reported score
$0.375in$1.875out/ 1M tokens · USDGoogle AI Studio · via OpenRouter · 10 endpointsgoogle-ai-studio/flex · tier=flex
googleListed Aug 13

Google: Gemini 3.7 Flash (batch)

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...

1M contextImage inputAudio inputNo reported score
No reported score
$0.375in$1.875out/ 1M tokens · USDGoogle · via OpenRouter · 2 endpointsgoogle-vertex/global
bytedance-seedListed Aug 12

ByteDance Seed: Seed 2.1 Turbo

Seed 2.1 Turbo is a multimodal model from ByteDance Seed for coding and long-horizon agent workflows. It is suited for end-to-end software delivery, multi-step task execution, and understanding visual and...

262.1K contextImage inputVideo inputNo reported score
No reported score
$0.50in$2.50out/ 1M tokens · USDSeed · via OpenRouter · 2 endpointsseed/fp8 · quantization=fp8
bytedance-seedListed Aug 12

ByteDance Seed: Seed-2.0-Code

Seed 2.0 Code is a model from ByteDance Seed optimized for agentic coding. It is suited for frontend development, multilingual programming tasks, and coding-agent workflows in tools such as Claude...

262.1K contextImage inputVideo inputNo reported score
No reported score
$0.50in$3.00out/ 1M tokens · USDSeed · via OpenRouter · 2 endpointsseed/fp8 · quantization=fp8 · prompt ≤ 128000 tokens
x-aiListed Aug 12

SpaceXAI: Grok 4.6

Grok 4.6 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM. It is succeeded by Grok 4.7.

500K contextImage inputTool callingNo reported score
No reported score
$2.00in$6.00out/ 1M tokens · USDExperiential · 8 endpointsStandard list rate
sakanaListed Aug 11

Sakana: Sakana Namazu

Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Japanese instruction…

262.1K contextImage inputTool callingNo reported score
No reported score
$0.95in$4.00out/ 1M tokens · USDSakana AI · via OpenRouter · 2 endpointssakana
metaListed Aug 9

Meta: Muse Glimmer 30B

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...

131.1K context30BImage inputTool callingNo reported score
No reported score
$0.30in$1.20out/ 1M tokens · USDdeepinfra · via Hugging Face · 6 endpoints
metaListed Aug 5

Meta: Muse Spark 1.2

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, and PDF documents, returns text, and offers 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
thinkingmachinesListed Jul 30

Thinking Machines: Inkling Small (free)

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...

1M contextImage inputAudio inputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDThinking Machines · via OpenRouter · 2 endpointsthinkingmachines/nvfp4 · quantization=nvfp4
thinkingmachinesListed Jul 27

Inkling-Small

Inkling-Small is a Mixture-of-Experts transformer with 276B total parameters, 12B active, trained on NVIDIA GB300 NVL72 systems. Like Inkling, it features native reasoning over audio and images, variable…

524.3K contextImage inputAudio inputNo reported score
No reported score
$0.45in$1.20out/ 1M tokens · USDdeepinfra · via Hugging Face · 4 endpoints
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
voyageaiListed Jul 27

VoyageAI by MongoDB: voyage-multimodal-3.5

voyage-multimodal-3.5 is a state-of-the-art multimodal embedding model capable of vectorizing not only text, images, and video individually, but also content that interleaves all three modalities. It…

32K contextImage inputNo reported score
No reported score
$0.12in$0.00out/ 1M tokens · USDOpenRouter
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
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