Specifications
Context Window
—
Input Price/1M
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Output Price/1M
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Parameters
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Benchmarks
Sarvam M (Reasoning) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 2.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 30.0 | 100.0 | Artificial Analysis official API |
| SciCode | 18.0 | 100.0 | — |
| AA Coding Index | 7.5 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 70.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 0.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 84.7 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 3.0 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 69.6 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 42.0 | 100.0 | Artificial Analysis official API |
| IFBench | 32.0 | 100.0 | — |
| HLE | 3.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 0.0 | 100.0 | — |
Information
- Release date
- May 23, 2025
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Sarvam M (Reasoning)
What is Sarvam M (Reasoning)?
Sarvam M (Reasoning) is an AI model developed by Sarvam, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Sarvam's cloud API.
Pricing & Costs in 2026
Sarvam M (Reasoning) does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Sarvam's official website for up-to-date availability and pricing.
Benchmarks & Performance
Sarvam M (Reasoning) was evaluated on 13 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show solid performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Sarvam M (Reasoning) specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Sarvam M (Reasoning) competes directly with similarly capable models. Sarvam competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Sarvam M (Reasoning)?
Sarvam M (Reasoning) is an AI model developed by Sarvam. It is a text model.
How much does Sarvam M (Reasoning) cost?
Sarvam M (Reasoning) does not have public per-token pricing available at this time. Check Sarvam's official website for up-to-date information.
How does Sarvam M (Reasoning) compare with other models?
In available benchmarks, Sarvam M (Reasoning) scored: Terminal-Bench Hard: 2/100, LiveCodeBench: 30/100, SciCode: 18/100. See the full table above for a detailed comparison.
Is Sarvam M (Reasoning) open source?
No, Sarvam M (Reasoning) is a proprietary model from Sarvam. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Sarvam M (Reasoning) best for?
Sarvam M (Reasoning) excels at general-purpose language tasks.
Last updated: June 22, 2026 • View methodology →