Model comparison
Mellum2-12B-A2.5B-Thinking vs Sarvam 30B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Mellum2-12B-A2.5B-Thinking unranked (Not scored); Sarvam 30B #169 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Mellum2-12B-A2.5B-Thinking and Sarvam 30B share 0 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to Mellum2-12B-A2.5B-Thinking; 11 to Sarvam 30B.
Updated July 23, 2026- Shared results
- 0
- Mellum2-12B-A2.5B-Thinking only
- 5
- Sarvam 30B only
- 11
- Comparable categories
- 0 / 8
Benchmark data for Mellum2-12B-A2.5B-Thinking and Sarvam 30B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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.
Mellum2-12B-A2.5B-Thinking has the larger context window at 128K, compared with 64K for Sarvam 30B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Mellum2-12B-A2.5B-Thinking | Sarvam 30B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Mellum2-12B-A2.5B-ThinkingNot available | Sarvam 30B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Mellum2-12B-A2.5B-ThinkingNot available | Sarvam 30BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Mellum2-12B-A2.5B-ThinkingNot available | Sarvam 30BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Mellum2-12B-A2.5B-Thinking128K | Sarvam 30B64K | Mellum2-12B-A2.5B-Thinking lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding1 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Thinking | Sarvam 30B | Result |
|---|---|---|---|
| AA-SciCodeSource | — | 19.2% | Not comparable |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Mellum2-12B-A2.5B-Thinking | Sarvam 30B | Result |
|---|---|---|---|
| MMLU-ReduxSource | 86.2% | — | Not comparable |
| GPQASource | 57.6% | — | Not comparable |
| GPQA-DSource | 57.6% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 6.6% | Not comparable |
| AA-GPQA DiamondSource | — | 63.3% | Not comparable |
| AA-HLESource | — | 7.0% | Not comparable |
| AA-Omniscience IndexSource | — | -72.0% | Not comparable |
| AA-Omniscience AccuracySource | — | 12.7% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 97.0% | Not comparable |
Frequently Asked Questions (3)
Can I compare Mellum2-12B-A2.5B-Thinking and Sarvam 30B 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 Mellum2-12B-A2.5B-Thinking and Sarvam 30B 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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