Sarvam AI model product
Sarvam-105B is an open-source Mixture-of-Experts reasoning model for complex reasoning, coding, and agentic workflows.
Updated Sep 8, 2026. Default version: Sarvam-105B
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Sarvam-105B.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkMATH-500 | Score98.60% | Rank02 | Participants32 | Percentile96.77% | EvidenceC | Evaluated |
| BenchmarkBeyond AIME | Score69.10% | Rank03 | Participants5 | Percentile50.00% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score90.60% | Rank06 | Participants101 | Percentile95.00% | EvidenceC | Evaluated |
| BenchmarkArena-Hard v2 | Score71.00% | Rank07 | Participants19 | Percentile66.67% | EvidenceC | Evaluated |
| BenchmarkHMMT25 | Score85.80% | Rank11 | Participants28 | Percentile62.96% | EvidenceC | Evaluated |
| BenchmarkAIME 2025 | Score96.70% | Rank17 | Participants119 | Percentile86.44% | EvidenceC | Evaluated |
| BenchmarkHMMT 2025 | Score85.80% | Rank21 | Participants33 | Percentile37.50% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench v6 | Score71.70% | Rank34 | Participants62 | Percentile45.90% | EvidenceC | Evaluated |
| BenchmarkIFEval | Score84.80% | Rank40 | Participants68 | Percentile41.79% | EvidenceC | Evaluated |
| BenchmarkMMLU-Pro | Score81.70% | Rank46 | Participants138 | Percentile67.15% | EvidenceC | Evaluated |
| BenchmarkBrowseComp | Score49.50% | Rank48 | Participants63 | Percentile24.19% | EvidenceC | Evaluated |
| BenchmarkHumanity's Last Exam | Score11.20% | Rank89 | Participants103 | Percentile13.73% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Verified | Score45.00% | Rank99 | Participants113 | Percentile12.50% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score78.70% | Rank103 | Participants247 | Percentile58.54% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderFastRouter | Provider model IDsarvam/sarvam-105b | Regionglobal | Input / 1M$0.04 | Output / 1M$0.16 | Context131.1K | Updated |
| ProviderNanoGPT | Provider model IDsarvam-105b | Regionglobal | Input / 1M$0.045 | Output / 1M$0.177 | Context131.1K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for Sarvam-105B. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionSarvam-105B | Released | LLMBoard43.28 | Parameters105B | ContextN/A | Max outputN/A | Open weightsYes | LicenseApache 2.0 |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Sarvam 105B and its available data.
Sarvam-105B is Sarvam AI's open-source Mixture-of-Experts reasoning model, using 128 sparse experts and Multi-head Latent Attention for efficient long-context inference. It was pre-trained on 12 trillion tokens spanning code, mathematics, multilingual, and web data.
Data as of 2026-09-08.
Common questions about Sarvam 105B.
Sarvam 105B's default version was released on Mar 6, 2026.
No official standard PAYG price is currently available for Sarvam 105B. The lowest tracked third-party offer starts at $0.04 input and $0.16 output via FastRouter.
Sarvam 105B was created by Sarvam AI.
A context window is not available for the default version.
Yes. The default version is marked as open weight under Apache 2.0.
3 provider offerings are linked to the default version.