Sarvam AI ↗Released February 1, 2025

Sarvam-M

Open Source24B parameters

Context

32K

Input

$0.20

Key Specifications

🏆

Arena Rank

Not disclosed

📐

Context Window

32K

📥

Input Price

per 1M tokens

$0.20

📤

Output Price

per 1M tokens

$0.20

🧠

Parameters

24B

🔓

Open Source

Yes

Best For

Indian languagesIndic NLP

About Sarvam-M

Sarvam-M is India's first homegrown foundation model, built by Sarvam AI with support from the Indian government's IndiaAI initiative. Optimized for 10+ Indian languages including Hindi, Tamil, Telugu, Bengali, and Marathi, it addresses the massive gap in AI language support for India's 1.4 billion population. The 24B parameter open-source model is designed for practical applications in Indian government services, healthcare, education, and enterprise. Sarvam-M represents a significant step toward AI sovereignty for India, ensuring that the world's most populous country has AI models that understand its linguistic and cultural diversity.

Built bySarvam AI↗

Pricing per 1M tokens

Input Tokens

$0.20

Output Tokens

$0.20

Compare Sarvam-M

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Frequently Asked Questions

What is Sarvam-M?▾
Sarvam-M is India's first homegrown foundation model, built by Sarvam AI with support from the Indian government's IndiaAI initiative. Optimized for 10+ Indian languages including Hindi, Tamil, Telugu, Bengali, and Marathi, it addresses the massive gap in AI language support for India's 1.4 billion population. The 24B parameter open-source model is designed for practical applications in Indian government services, healthcare, education, and enterprise. Sarvam-M represents a significant step toward AI sovereignty for India, ensuring that the world's most populous country has AI models that understand its linguistic and cultural diversity.
How much does Sarvam-M cost?▾
Sarvam-M costs $0.20 per 1 million input tokens and $0.20 per 1 million output tokens. Pricing is based on token usage, making it cost-effective for both small and large-scale applications.
What is Sarvam-M's context window?▾
Sarvam-M has a context window of 32K tokens. This determines how much text the model can process in a single request — larger context windows allow the model to handle longer documents, maintain more conversation history, and reason over bigger codebases.
Is Sarvam-M open source?▾
Yes, Sarvam-M is open source. This means the model weights are publicly available, allowing developers and organizations to download, fine-tune, and self-host the model on their own infrastructure. Open-source models offer greater flexibility and data privacy control.
What is Sarvam-M best for?▾
Sarvam-M is best suited for: Indian languages, Indic NLP. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within Sarvam AI's model lineup.