Sarvam 30B
Sarvam 30B is a released agents and json / tool use model with open-source; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating agents and json / tool use
- Workloads that can use a 66k 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
- Family
- Sarvam
- Released
- 2026-03-22
- Context
- 66k
- Parameters
- 30B (2.4B active)
- Architecture
- Mixture of Experts
- Knowledge cutoff
- 2025-06
- Specialization
- reasoning
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Training
- Pretrained
No tracked provider token pricing is available 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 is an open-source model in the Sarvam family. The structured metadata tracks a 66k-token context window, function calling, and tool use. No headline benchmark score is tracked for Sarvam 30B yet.
Top use-case fit: coding, agents, and build tasks
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.
Capabilities
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.
Compare Sarvam 30B with other models
Comparison and alternatives
Browse all comparisons →Frequently asked questions
What is the context window of Sarvam 30B?
Sarvam 30B has a context window of 66k tokens.
When was Sarvam 30B released?
Sarvam 30B was released on 2026-03-22.