Unknown OrganizationReleased on Mar 6, 2026

Sarvam-30B: API Pricing, Context Window & Benchmarks

Sarvam-30B is a language model from Unknown Organization, released in March 2026.

Sarvam-30B is an open-source 30B-parameter Mixture-of-Experts reasoning model from Sarvam AI trained from scratch and optimized for Indian languages, coding, and conversational workloads. It uses 128 sparse experts with 2.4B active

Sarvam-30B benchmarks

Rankings

Quality Tracker

Sarvam-30B Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Tue Jul 28 2026
Notice missing or incorrect data?

Sarvam-30B model size

Sarvam-30B has 30 billion parameters and was trained on 16 trillion tokens. See how it compares to other models in the same parameter range.

ParametersTraining tokens
30BMoE
16Ttokens
533× tokens-to-params ratio
Large (30–80B)
30B
1B7B70B405B

Sarvam-30B API

Available from the model provider

Sarvam-30B has an official provider API. It is not currently routed through the LLM Stats gateway.

Read the official API documentation

Sarvam-30B latency

Sarvam-30B time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.

Sarvam-30B examples

Recent arena outputs from Sarvam-30B, picked from the highest-ranked matchups.

Sarvam-30B license

Sarvam-30B is released under the Apache 2.0 license, which permits commercial use, has 30.0B parameters.

License
Apache 2.0
Commercial use allowed
Parameters
30.0B

Apache License 2.0 - allows commercial use

Sarvam-30B resources

Official sources for Sarvam-30B: api documentation, official playground, official launch post, model weights.

Sarvam-30B vs other models

The most-compared alternatives to Sarvam-30B are GPT-5.1 Codex High, MiMo-V2.5-Pro, Sarvam-105B. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like Sarvam-30B

Models ranked just above and below Sarvam-30B by LLM Stats score.

 

GPT-5.1 Codex High

Score pending
 

MiMo-V2.5-Pro

Score pending
 

Sarvam-105B

Score pending
 

MAI-Thinking-1

Score pending
 

Qwen3 VL 32B Instruct

Score pending
 

Qwen3 VL 30B A3B Thinking

Score pending

FAQ

Common questions about Sarvam-30B.

When was Sarvam-30B released?

Sarvam-30B was released on March 6, 2026 by sarvamai. This is the official Sarvam-30B release date tracked on LLM Stats.

Is Sarvam-30B available via API?

Yes, Sarvam-30B is available via API. See the official documentation for authentication and endpoint details.

How big is Sarvam-30B?

Sarvam-30B has 30 billion parameters. It was trained on 16.0 trillion tokens. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Sarvam-30B?

Sarvam-30B was created by sarvamai.

What is the license for Sarvam-30B?

Sarvam-30B is released under the Apache 2.0 license. This is an open-source / open-weight license that permits self-hosting.

Where is the Sarvam-30B paper or technical report?

Sarvam-30B has a paper or technical report available at https://www.sarvam.ai/blogs/sarvam-30b-105b. Use that source for architecture, training, release and evaluation details.

What models should I compare Sarvam-30B against?

Common Sarvam-30B comparisons include Sarvam-30B vs GPT-5.1 Codex High, Sarvam-30B vs MiMo-V2.5-Pro, Sarvam-30B vs Sarvam-105B. Compare them side by side for benchmark scores, pricing, context window, latency and API availability.