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HomeVendorsSarvam AI

Model vendor

Sarvam AI

Sarvam AI is an Indian AI company building open foundation models and developer APIs optimized for Indian languages, reasoning, and production deployment.

Updated Aug 10, 2026. Data as of 2026-08-07

Website
Published models2
Published versions2
Open defaults2
CountryIN

On this page

  • Models
  • Scores
  • Highlights
  • About
  • FAQ

Sarvam AI models

Default-version specifications and scored-version capability values are labeled separately.

2 rows
Columns

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SASarvam 105BSarvam AISarvam-105B52.8100.0%131.1KOpen weightsMar 6, 2026Sarvam-105B
SASarvam 30BSarvam AISarvam-30B47.0100.0%128KOpen weightsMar 6, 2026Sarvam-30B

Sarvam AI capability scores

Each unique model uses its latest scored version.

Sarvam AI LLMBoard scores

Sarvam AI highlights

Leaders from this vendor's current published catalog.

Top scoreSarvam 105B52.8 LLMBoardLargest contextSarvam 105B131.1K tokens
Open-weight defaults2of 2 published models

What is Sarvam AI?

Vendor context from the published model registry.

Sarvam AI is an Indian AI company building open foundation models and developer APIs optimized for Indian languages, reasoning, and production deployment.

Model ownership is separate from API hosting. One model can be offered by multiple API providers with different prices.

Vendor
Sarvam AI
Published models
2
Published versions
2
Country
IN
Founded
Not published

Vendor description and inventory come from the published model registry.

FAQ

Common questions about Sarvam AI.

What is Sarvam AI's highest-ranked model?

Sarvam 105B currently has the strongest published LLMBoard score from this vendor.

How many Sarvam AI models are tracked?

The current public catalog contains 2 independently selectable Sarvam AI model products and 2 published versions.

Does Sarvam AI host every listed model API?

Not necessarily. Vendor identifies the model developer; API providers are tracked separately.

Does Sarvam AI publish open-weight models?

2 current default versions are marked as open weight.

Rankings

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Modalities

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Benchmarks

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