Model comparison
Nemotron 3 Nano Omni 30B A3B vs Sarvam 105B
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: Nemotron 3 Nano Omni 30B A3B #159 (Estimated); Sarvam 105B #165 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Nemotron 3 Nano Omni 30B A3B and Sarvam 105B share 11 comparable benchmark results. 0 of 8 categories are comparable. 18 results are unique to Nemotron 3 Nano Omni 30B A3B; 0 to Sarvam 105B.
Updated July 27, 2026- Shared results
- 11
- Nemotron 3 Nano Omni 30B A3B only
- 18
- Sarvam 105B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Nemotron 3 Nano Omni 30B A3B and Sarvam 105B 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.
Nemotron 3 Nano Omni 30B A3B has the larger context window at 256K, compared with 128K for Sarvam 105B.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Nemotron 3 Nano Omni 30B A3B | Δ | Sarvam 105B |
|---|---|---|---|
| Coding | Nemotron 3 Nano Omni 30B A3B32.0 | MarginNo overlap | Sarvam 105BNot measured |
| Knowledge | Nemotron 3 Nano Omni 30B A3B76.3 | MarginNo overlap | Sarvam 105BNot measured |
| Multimodal | Nemotron 3 Nano Omni 30B A3B76.3 | MarginNo overlap | Sarvam 105BNot measured |
| Inst. Following | Nemotron 3 Nano Omni 30B A3B74.2 | MarginNo overlap | Sarvam 105BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Nemotron 3 Nano Omni 30B A3B | Sarvam 105B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Nemotron 3 Nano Omni 30B A3B$0 input / $0 output | Sarvam 105B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Nemotron 3 Nano Omni 30B A3BNot available | Sarvam 105BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Nemotron 3 Nano Omni 30B A3BNot available | Sarvam 105BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Nemotron 3 Nano Omni 30B A3B256K | Sarvam 105B128K | Nemotron 3 Nano Omni 30B A3B lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Nemotron 3 Nano Omni 30B A3B | Sarvam 105B | Result |
|---|---|---|---|
| MMLU-ProSource | 77.3% | — | Not comparable |
| GPQASource | 72.2% | — | Not comparable |
| GPQA-DSource | 72.2% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 14.9% | 11.9% | Nemotron 3 Nano Omni 30B A3B leads |
| AA-GPQA DiamondSource | 46.9% | 73.8% | Sarvam 105B leads |
| AA-HLESource | 5.3% | 10.1% | Sarvam 105B leads |
| AA-Omniscience IndexSource | -56.0% | -59.5% | Nemotron 3 Nano Omni 30B A3B leads |
| AA-Omniscience AccuracySource | 14.8% | 17.6% | Sarvam 105B leads |
| AA-Omniscience Hallucination RateSource | 83.1% | 93.5% | Nemotron 3 Nano Omni 30B A3B leads |
Math1 benchmarks
| Benchmark | Nemotron 3 Nano Omni 30B A3B | Sarvam 105B | Result |
|---|---|---|---|
| AIME 2025Source | 82.1% | — | Not comparable |
Multimodal8 benchmarks
| Benchmark | Nemotron 3 Nano Omni 30B A3B | Sarvam 105B | Result |
|---|---|---|---|
| MMMUSource | 70.8% | — | Not comparable |
| MMLongBench-DocSource | 57.5% | — | Not comparable |
| CharXivSource | 76.3% | — | Not comparable |
| ScreenSpot ProSource | 57.8% | — | Not comparable |
| Video-MME (w/o subtitle)Source | 72.2% | — | Not comparable |
| AI2D_TESTSource | 88.5% | — | Not comparable |
| RefCOCO (avg)Source | 90.5% | — | Not comparable |
| AA-MMMU-ProSource | 53.2% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Nemotron 3 Nano Omni 30B A3B and Sarvam 105B 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 Nemotron 3 Nano Omni 30B A3B and Sarvam 105B today?
Nemotron 3 Nano Omni 30B A3B: $0.00 input / $0.00 output per 1M tokens Sarvam 105B: $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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