Sarvam AI Benchmark
Benchmark Status: This evaluation is based on the Sarvam AI web version only, from a single prompt run with no re-prompting. It has not been validated in real projects and remains incomplete until stable API access is available.

Sarvam AI Benchmark Dashboard

Web-version benchmark reports for Sarvam AI, curated into reasoning, systems, and coding tracks. Home now shows only summary signals, while detailed listings are moved to the Reports page.

Total Benchmarks
10
Overall Average
7.81 / 10
Top Benchmark
Python Coding (9.03)
Lowest Benchmark
Multi-Step Logic (5.80)
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Browse by Track

Reasoning

Logic, contradiction detection, long-context, and policy-layer reasoning.

Avg 7.89 Reports 7

Systems

Distributed architecture, consensus depth, scaling math, and concurrency tradeoffs.

Avg 6.00 Reports 1

Coding

Algorithmic coding quality in Python and cross-language concurrency stress.

Avg 8.46 Reports 2

Latest Benchmarks

Cross-Language Coding

Strong paradigm switching across languages, but concurrency correctness is not fully production-grade.

Coding Score 7.90 Run #10

Nested Hypothetical

Very strong layered reasoning and scope discipline with minor hierarchy-depth gaps.

Reasoning Score 8.80 Run #9

Silent Inconsistency

Good silent contradiction detection, with weaker real-time enforceability and resource-bound analysis.

Reasoning Score 7.80 Run #8