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2,801 models1,616 with prices34 metricsUpdated Oct 18, 2026 ↗

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xingchen-agiListed 1 day ago

XingChen: Xing4.0 29B A4B (free)

Apache-2.0 weights with switchable thinking; supports domain fine-tuning and vLLM, SGLang or KTransformers deployment.

262.1K context29BTool callingStructured outputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDPhala · via OpenRouter · 2 endpointsphala
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
liquidListed Aug 11

LiquidAI: LFM2.5-2.6B (free)

LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...

65.5K contextTool callingStructured outputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDLiquid · via OpenRouter · 2 endpointsliquid/fp8 · quantization=fp8
googleListed Apr 3

Google: Gemma 4 26B A4B (free)

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

262.1K context26BImage inputVideo inputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDGoogle AI Studio · via OpenRouter · 2 endpointsgoogle-ai-studio
googleListed Apr 2

Google: Gemma 4 31B (free)

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native…

262.1K context31BImage inputVideo inputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDGoogle AI Studio · via OpenRouter · 2 endpointsgoogle-ai-studio
nvidiaListed Mar 11

NVIDIA: Nemotron 3 Super (free)

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid…

262.1K context120BTool callingStructured outputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDNvidia · via OpenRouter · 2 endpointsnvidia
openrouterListed Feb 1

Free Models Router

The simplest way to get free inference. openrouter/free is a router that selects free models at random from the models available on OpenRouter. The router smartly filters for models that...

200K contextImage inputTool callingNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDOpenRouter