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10 models · Image input · newest firstPage 1 / 1

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inceptionListed 17 days ago

Inception: Mercury Decide (free)

Mercury Decide is Inception's structured decision model, served as a System One endpoint. Send a state along with typed questions, and it returns a choice, a score, or a yes/no...

65.5K contextImage inputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDOpenRouter
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
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 17

Thinking Machines: Inkling (free)

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…

1M contextImage inputAudio inputNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDThinking Machines · via OpenRouter · 2 endpointsthinkingmachines/nvfp4 · quantization=nvfp4
nvidiaListed Jun 4

NVIDIA: Nemotron 3.5 Content Safety (free)

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...

128K contextImage inputReasoningNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDNvidia · via OpenRouter · 2 endpointsnvidia
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 Feb 25

NVIDIA: Llama Nemotron Embed VL 1B V2 (free)

The Llama Nemotron Embed VL 1B V2 embedding model is optimized for multimodal question-answering retrieval. The model can embed 'documents' in the form of image, text, or image and text...

131.1K context1BImage inputOpen weightsNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDOpenRouter
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