readable AI benchmarks (simplified)
Sarvam
Sarvam M (Reasoning, based on Mistral Small 3.1)
Sarvam M (Reasoning, based on Mistral Small 3.1) has a Quality Score of 13.7, ranking 497th among 551 scored models. Per 1M tokens, pricing is $0.0000 input and $0.0000 output. It has a 32,768 token context window. Its Reliability Score is 19.2, ranking 468th among 553 scored models, below average (total average: 35.6).
Quality Score13.7coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Scorenot available
Factual reliability19.2
Cache Discountnot available
Model specification
- Reasoning
- reasoning
- Input modalities
- none
- Output modalities
- none
- Context window
- 32,768 tokens
- Weights
- open weights
Token prices USD per 1M tokens
- Input
- $0.0000
- Output
- $0.0000
- Cached Input
- not available
- Cache write
- not available
- Cost per task
- not available
Capability
- Intelligence
- 5.3
- Coding
- not available
- Agentic
- not available
- Omniscience
- -61.6
- Correct
- 15.2%
- Blended price
- not available
Answer outcomes
Fully graded outcomes (Correct + Incorrect): 92.1%
Correct 15.2%Incorrect 76.8%Partial / not attempted 7.9%
Artificial Analysis benchmarks
- Humanity’s Last Exam
- 3%
- GPQA Diamond
- 42%
- CritPt
- 0%
- AA-Omniscience
- 19%
- AA-LCR
- 0%
Similar models
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- Qwen3 VL 4B (Reasoning)AlibabaQuality Score 13.3Value Score not available
- Jamba Reasoning 3BAI21 LabsQuality Score 14.9Value Score not available
- NVIDIA Nemotron 3 Nano 4BNVIDIAQuality Score 13.0Value Score not available