Model record
Sarvam 105B model overview
Sarvam 105B is a open weights model from Sarvam AI. It was released on March 6, 2026. Its strongest case is apache-licensed weights, while buyers should account for combined weights and api access do not fit the access field.
Sarvam 105B benchmark snapshot
| Evaluation | Reported score | What it probes |
|---|---|---|
| MMLU-Pro | Not reported | Broad knowledge and multi-step reasoning |
| GPQA Diamond | Not reported | Graduate-level science reasoning |
| SWE-bench Verified | Not reported | Verified real-repository issue resolution |
| LiveCodeBench | Not reported | Contamination-aware competitive programming |
| SWE-Bench Pro | Not reported | Longer, harder professional software tasks |
| Artificial Analysis Intelligence Index | Not reported | Composite third-party capability index; version matters |
Scores are percentages reported by model creators or benchmark maintainers under varying settings. A blank is preferable to an inferred result. See our methodology.
Sarvam 105B strengths
- Apache-licensed weights
- 128K context
Sarvam 105B limitations
- Combined weights and API access do not fit the access field
- INR pricing is not represented by the USD formatter
Editorial take: Benchmark rank should narrow a shortlist, not close a purchase. Run a private evaluation with representative prompts, failure cases, latency targets, and total token costs.
Source record
Specifications and scores are linked to the best source located during review. Provider-reported results are not presented as third-party lab reproductions.
Source limitation: Official model card: https://huggingface.co/sarvamai/sarvam-105b. Official pricing: https://docs.sarvam.ai/api-reference-docs/pricing
Read Sarvam 30B/105B release ↗