Models

Privatemode gives you access to the following models. For pricing and rate limits, see Pricing and Rate limits.

Model	Model ID	Type	Input	Context / limit	Endpoints
Gemma 4 31B	gemma-4-31b	Chat	Text, image	256k tokens	/v1/chat/completions, /v1/completions, /v1/messages
gpt-oss-120b	gpt-oss-120b	Chat	Text	128k tokens	/v1/chat/completions, /v1/completions, /v1/messages
Kimi K2.6	kimi-k2.6, kimi-latest	Chat	Text, image	256k tokens	/v1/chat/completions, /v1/completions, /v1/messages
Qwen3-Embedding 4B	qwen3-embedding-4b	Embedding	Text	32k tokens	/v1/embeddings
Voxtral Mini 3B	voxtral-mini-3b	Speech-to-text	Audio	50 MB	/v1/audio/transcriptions
Whisper large-v3	whisper-large-v3	Speech-to-text	Audio	50 MB	/v1/audio/transcriptions

All chat models support streaming, tool calling, and structured outputs.

Kimi K2.6

The model supports images as input. Follow this guide to use the feature. Kimi K2.6 performs reasoning steps to improve response quality. To disable reasoning and reduce latency at the cost of quality, extend your request with:

{
    "chat_template_kwargs": {"thinking": false}
}

Use the model ID kimi-latest to always route to the latest available Kimi model.

Gemma 4 31B

The model supports images as input. Follow this guide to use the feature. The model supports tool calling. Gemma 4 can perform reasoning steps to improve response quality. To disable reasoning and reduce latency at the cost of quality, extend your request with:

{
    "chat_template_kwargs": {"enable_thinking": false}
}

Qwen3-Embedding 4B

The model uses Matryoshka training and supports output dimensions of 1024 or 2560, set via the dimensions field in the embeddings request. For most tasks, 1024 dimensions is sufficient. For other dimensionalities, truncate the returned vector client-side and re-normalize it afterward.

Voxtral Mini 3B

Use sufficiently high-quality audio with adequate bit rates. Consider Whisper large-v3 if you face issues with low quality audio.