Model comparison
Sarvam 30B vs Solar Pro 2
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Sarvam 30B #169 (Estimated); Solar Pro 2 #167 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Sarvam 30B and Solar Pro 2 share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Sarvam 30B; 0 to Solar Pro 2.
Updated July 23, 2026- Shared results
- 11
- Sarvam 30B only
- 0
- Solar Pro 2 only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Sarvam 30B and Solar Pro 2 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Solar Pro 2 has the larger context window at 128K, compared with 64K for Sarvam 30B.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Sarvam 30B | Solar Pro 2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Sarvam 30B$0 input / $0 output | Solar Pro 2Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Sarvam 30BNot available | Solar Pro 2Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Sarvam 30BNot available | Solar Pro 2Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Sarvam 30B64K | Solar Pro 2128K | Solar Pro 2 lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Sarvam 30B | Solar Pro 2 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 34.5% | 31.9% | Sarvam 30B leads |
Coding1 benchmarks
| Benchmark | Sarvam 30B | Solar Pro 2 | Result |
|---|---|---|---|
| AA-SciCodeSource | 19.2% | 24.8% | Solar Pro 2 leads |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Sarvam 30B | Solar Pro 2 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 6.6% | 7.8% | Solar Pro 2 leads |
| AA-GPQA DiamondSource | 63.3% | 56.1% | Sarvam 30B leads |
| AA-HLESource | 7.0% | 3.8% | Sarvam 30B leads |
| AA-Omniscience IndexSource | -72.0% | -61.7% | Solar Pro 2 leads |
| AA-Omniscience AccuracySource | 12.7% | 15.6% | Solar Pro 2 leads |
| AA-Omniscience Hallucination RateSource | 97.0% | 91.5% | Solar Pro 2 leads |
Inst. Following1 benchmarks
| Benchmark | Sarvam 30B | Solar Pro 2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 26.5% | 33.7% | Solar Pro 2 leads |
Frequently Asked Questions (3)
Can I compare Sarvam 30B and Solar Pro 2 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Sarvam 30B and Solar Pro 2 today?
Sarvam 30B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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