Sarvam-M Multilingual Hybrid
sarvam-m
Last refreshed 2026-05-01. Next refresh: weekly.
Sarvam-M Multilingual Hybrid is worth evaluating for long context when its provider route and context window match the workload.
Decision context: Long context task fit, 1 tracked provider route, and research from 2026-01-01.
Use it for
- Teams evaluating long context
- Workloads that can use a 128K context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
Cheapest output
-
NVIDIA NIM per 1M tokens
Provider routes
1
Tracked API hosts
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-01-01
Researched 137d ago
Top use-case fit
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| NVIDIA NIM | - | - | ServerlessPartial |
Benchmark peer barsfor Long context
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
About
Sarvam AI multilingual hybrid model for Indian languages.
Sarvam-M Multilingual Hybrid has a 128K-token context window.
Capabilities
No model capability flags are currently sourced.
