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Sarvam-30B

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Model Details

Sarvam 30B

Organization License Released

Quick answer: Sarvam 30B is Sarvam AI's July 2025 Indian-origin 30B model scoring 92.1% HumanEval, 80% MMLU-Pro, and 49.0% Arena Hard v2. Apache 2.0 — notable 92.1% HumanEval at 30B.

At a Glance

Where Sarvam 30B leads

  • 92.1% HumanEval — excellent coding; competitive with models twice its size
  • 80% MMLU-Pro — strong academic breadth
  • Apache 2.0 — fully open
  • Indian-origin open model: optimised for multilingual including Indic languages

Where it lags

  • 49.0% Arena Hard v2 — moderate instruction quality
  • Limited benchmark coverage (only 3 metrics)

Best for: Open-source coding with strong HumanEval; Indic language applications; Apache 2.0 Indian AI deployments.

What Sarvam 30B Is

Sarvam 30B is Sarvam AI's July 2025 large language model — a 30B model from Sarvam, an Indian AI company focused on Indic language capabilities. The 92.1% HumanEval is the standout score, making it one of the strongest coding models at the 30B scale from this period.

Specifications

FieldValue
OrganizationSarvam AI
LicenseApache 2.0
HuggingFacesarvamai/sarvam-30b
Release dateJuly 2025
Parameters30B
ModalityText only

Pricing

Open weights under Apache 2.0 — self-host at no cost. Available via Sarvam API.

Public Benchmark Scores

BenchmarkScoreSourceDate
HumanEval92.1%Benchgen evaluation2025-07
MMLU-Pro80%Benchgen evaluation2025-07
Arena Hard v249.0%Benchgen evaluation2025-07

Sarvam 30B vs Alternatives

ModelHumanEvalMMLU-ProArena HardLicense
Sarvam 30B92.1%80%49.0%Apache 2.0
Qwen2.5 32B Instruct88.4%Apache 2.0
Mistral Small 3.1 24B88.4%66.8%Apache 2.0

Sarvam 30B leads on HumanEval (92.1%) vs Qwen2.5 32B (88.4%). For Indic language support: Sarvam 30B is purpose-built.

Frequently Asked Questions

What is Sarvam 30B? Sarvam AI's July 2025 Indian-origin 30B model scoring 92.1% HumanEval, 80% MMLU-Pro. Apache 2.0 — top HumanEval at 30B, optimised for Indic languages.

Specs from Sarvam AI's Sarvam 30B release (July 2025) and Benchgen evaluations. Last updated 2026-07-24.

Benchmark Leaderboards

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