Sarvam-M
Hybrid-reasoning multilingual model for Indian languages built on Mistral Small.
- Capability
- —No ECI score yet
- Input
- —No listed price
- Output
- —No listed price
- Context
- 33K33K max output
What it costs
No per-token price is published for this model yet.
No per-token price is listed for this model on models.dev.
Independent benchmarks
Epoch AI has not published a Capabilities Index score for Sarvam-M yet.
The details
- Lab
- Sarvam AI
- Released
- May 20, 2025
- Context window
- 32,768 tokens
- Max output
- 32,768 tokens
- Inputs
- Text
- Output
- Text
- Reasoning
- Always on
- Tool calling
- No
- Structured output
- No
- Weights
- Open weights · Apache 2.0
More from Sarvam AI
About Sarvam-M
How much does Sarvam-M cost?
Sarvam-M has no published per-token API price on models.dev yet.
What is the context window of Sarvam-M?
Sarvam-M accepts up to 32,768 tokens per request and can write up to 32,768 tokens in one response.
How good is Sarvam-M?
Epoch AI has not published a Capabilities Index score for Sarvam-M yet.
Is Sarvam-M open source?
Yes. Sarvam AI publishes the weights under the Apache 2.0 licence, so it can be downloaded and self-hosted.
What inputs does Sarvam-M support?
Sarvam-M accepts text and replies in text. It is a reasoning model, does not support tool calling.
When was Sarvam-M released?
Sarvam AI released Sarvam-M on May 20, 2025.
What are the best alternatives to Sarvam-M?
The closest current models from other labs on capability, price and release date are Solar Pro 2 (Upstage, $0.25 / $0.25), Gemini 2.5 Pro Preview 06-05 (Google, $1.22 / $9.75), Mistral Nemotron (NVIDIA) and Palmyra X5 (Writer, $0.60 / $6.00).