Sarvam
availableShows if the model has enough results for an index.Sarvam 105B
Sarvam 105B is a reasoning model from Sarvam. 8 benchmarks count toward its score, in 4 categories.
IndexOverall score out of 100.32.7 ±10.2
CoverageShare of the index weight with results.55%
SpeedOutput tokens per second.—
Input / 1MUS dollars per 1M input tokens.Free
Output / 1MUS dollars per 1M output tokens.Free
ContextMaximum tokens in one request.128K
EloLMArena rating and rank.N/A
The index is a score out of 100. The ± range shows how much it can change.
CapabilitiesScore per category, out of 100.
Out of 100Results
8 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result as a score out of 100. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| Artificial Analysis GPQA Diamond | Knowledge | 73.8% | 44.2 | — | — | Artificial Analysis |
| τ²-Bench Tool-Agent-User Evaluation | Agentic | 46.8% | 32.4 | — | — | Victor Barres et al. |
| Artificial Analysis IFBench | Instruction | 34.4% | 24.0 | — | — | Artificial Analysis |
| Artificial Analysis Omniscience Accuracy | Knowledge | 17.6% | 35.6 | — | — | Artificial Analysis |
| Artificial Analysis Humanity's Last Exam | Knowledge | 11.0% | 36.5 | — | — | Artificial Analysis |
| Artificial Analysis Intelligence Index | Knowledge | 8.8% | 33.4 | — | — | Artificial Analysis |
| Artificial Analysis Long Context Reasoning | Reasoning | 0.0% | 8.3 | — | — | Artificial Analysis |
| Critical Physics Tasks | Reasoning | 0.0% | 38.4 | — | — | Artificial Analysis |
8 benchmarks count, from 8 of 8 results. A grey row does not count. Too few models took that benchmark.