Sarvam 30B
sarvam-30b
Last refreshed 2026-04-18. Next refresh: weekly.
Sarvam 30B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Decision context: Agents task fit, 0 tracked provider routes, and research from 2026-01-01.
Use it for
- Teams evaluating agents and json / tool use
- Workloads that can use a 65.5k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Teams that need a tracked hosted API route today
Cheapest output
-
No tracked output price
Provider routes
0
No provider route in seed
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-01-01
Researched 137d ago
Top use-case fit
Agents
Included by capability and metadata signals in the decision map.
JSON / Tool use
Included by capability and metadata signals in the decision map.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Benchmark peer barsfor Agents
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 30B is an open-source MoE reasoning model with 30B total parameters. Optimized for math, coding, and knowledge tasks with state-of-the-art performance across 22 Indian languages. Supports multilingual voice calls and streaming inference.
Sarvam 30B has a 65.5K-token context window.
