Last refreshed 2026-05-01. Next refresh: weekly.
Why use Sarvam-M Multilingual Hybrid on NVIDIA NIM?
NVIDIA NIM offers Sarvam-M Multilingual Hybrid with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Input / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced
Setup recipe
Docs fallbackInstall
Use the provider REST API or SDKAuth
Create a provider API keyCall
model: sarvamai/sarvam-mModel ID
sarvamai/sarvam-mRequest example
Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID
sarvamai/sarvam-m.Gotchas
- Use provider model ID "sarvamai/sarvam-m", not the LLMReference slug "sarvam-m".
Pricing
| Type | Rate |
|---|---|
| GPU Hour Rate | $1.00/GPU·hr |
Capabilities
No model capability flags are currently sourced.
About Sarvam-M Multilingual Hybrid
Sarvam AI multilingual hybrid model for Indian languages.
FAQ
What is the context window for Sarvam-M Multilingual Hybrid on NVIDIA NIM?
Sarvam-M Multilingual Hybrid supports a 128,000 token context window on NVIDIA NIM.
What API model ID do I use for Sarvam-M Multilingual Hybrid on NVIDIA NIM?
Use the model ID sarvamai/sarvam-m when calling NVIDIA NIM's API.
Who created Sarvam-M Multilingual Hybrid?
Sarvam-M Multilingual Hybrid was created by Sarvam.ai as part of the Sarvam model family.
Is Sarvam-M Multilingual Hybrid open source?
Sarvam-M Multilingual Hybrid is open source according to the seed data.
Model Specs
Released2025-06-01
Context128K
ArchitectureDecoder Only