Model comparison
Claude Sonnet 5 vs Nemotron 3 Nano Omni 30B A3B
Head-to-head evidence from 14 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 5 #29 (Estimated); Nemotron 3 Nano Omni 30B A3B #151 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 5 and Nemotron 3 Nano Omni 30B A3B share 14 comparable benchmark results. 3 of 8 categories are comparable. 22 results are unique to Claude Sonnet 5; 15 to Nemotron 3 Nano Omni 30B A3B.
Updated July 23, 2026- Shared results
- 14
- Claude Sonnet 5 only
- 22
- Nemotron 3 Nano Omni 30B A3B only
- 15
- Comparable categories
- 3 / 8
Pick Claude Sonnet 5 if you want the stronger benchmark profile. Nemotron 3 Nano Omni 30B A3B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 5 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Claude Sonnet 5 is clearly ahead on the BenchAlign aggregate, 65.32 to 44.24. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 5's sharpest advantage is in coding, where it averages 76.7 against 32. The single biggest benchmark swing on the page is CharXiv, 88.3% to 76.3%. Nemotron 3 Nano Omni 30B A3B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Claude Sonnet 5 is also the more expensive model on tokens at $2.00 input / $10.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Nano Omni 30B A3B. That is roughly Infinityx on output cost alone. Claude Sonnet 5 gives you the larger context window at 1M, compared with 256K for Nemotron 3 Nano Omni 30B A3B.
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 | Claude Sonnet 5 | Δ | Nemotron 3 Nano Omni 30B A3B |
|---|---|---|---|
| Coding | Claude Sonnet 576.7 | Margin← 44.7 | Nemotron 3 Nano Omni 30B A3B32.0 |
| Knowledge | Claude Sonnet 557.4 | Margin→ 18.9 | Nemotron 3 Nano Omni 30B A3B76.3 |
| Multimodal | Claude Sonnet 588.3 | Margin← 12.0 | Nemotron 3 Nano Omni 30B A3B76.3 |
| Agentic | Claude Sonnet 581.9 | MarginNo overlap | Nemotron 3 Nano Omni 30B A3BNot measured |
| Inst. Following | Claude Sonnet 5Not measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B74.2 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
CharXiv
MultimodalA 88.3%B 76.3%Winner: Claude Sonnet 5Δ 12CharXiv: Claude Sonnet 5 scored 88.3%; Nemotron 3 Nano Omni 30B A3B scored 76.3%. Claude Sonnet 5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 5 | Nemotron 3 Nano Omni 30B A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 5$2 input / $10 output | Nemotron 3 Nano Omni 30B A3B$0 input / $0 output | Nemotron 3 Nano Omni 30B A3B has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 5Not available | Nemotron 3 Nano Omni 30B A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 5Not available | Nemotron 3 Nano Omni 30B A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 51M | Nemotron 3 Nano Omni 30B A3B256K | Claude Sonnet 5 lists the larger context window. |
Benchmark Deep Dive
Agentic15 benchmarks
| Benchmark | Claude Sonnet 5 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 80.4% | — | Not comparable |
| BrowseCompSource | 84.7% | — | Not comparable |
| HLE w/ toolsSource | 57.4% | — | Not comparable |
| OSWorld-VerifiedSource | 81.2% | — | Not comparable |
| GDPval-AASource | 1607 | 467 | Claude Sonnet 5 leads |
| AA Agentic IndexSource | 46.7% | — | Not comparable |
| GDPval-AASource | 55.4% | 0.0% | Claude Sonnet 5 leads |
| AA BriefcaseSource | 1388 | — | Not comparable |
| AA AutomationBenchSource | 39.2% | — | Not comparable |
| AA EnterpriseOps-GymSource | 44.7% | — | Not comparable |
| AA Harvey LABSource | 90.1% | — | Not comparable |
| AA Tau3 BankingSource | 28.2% | — | Not comparable |
| aaTerminalBench21Source | 80.5% | — | Not comparable |
| OSWorldSource | — | 47.4% | Not comparable |
| τ²-bench resultsSource | — | 45.3% | Not comparable |
CodingClaude Sonnet 5 wins10 benchmarks
| Benchmark | Claude Sonnet 5 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 85.2% | — | Not comparable |
| SWE-bench ProSource | 63.2% | — | Not comparable |
| SWE MultilingualSource | 78.3% | — | Not comparable |
| SWE MultimodalSource | 28.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 80.4% | — | Not comparable |
| FrontierCode 1.1 MainSource | 42.7% | — | Not comparable |
| cursorBench32Source | 61.5% | — | Not comparable |
| AA Coding IndexSource | 71.5% | 13.8% | Claude Sonnet 5 leads |
| AA-SciCodeSource | 53.6% | 27.8% | Claude Sonnet 5 leads |
| SciCodeSource | — | 32% | Not comparable |
Reasoning2 benchmarks
KnowledgeNemotron 3 Nano Omni 30B A3B wins11 benchmarks
| Benchmark | Claude Sonnet 5 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| HLESource | 57.4% | — | Not comparable |
| HLE w/o toolsSource | 43.2% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 53.4% | 14.9% | Claude Sonnet 5 leads |
| AA-GPQA DiamondSource | 91.1% | 46.9% | Claude Sonnet 5 leads |
| AA-HLESource | 39.6% | 5.3% | Claude Sonnet 5 leads |
| AA-Omniscience IndexSource | 15.3% | -56.0% | Claude Sonnet 5 leads |
| AA-Omniscience AccuracySource | 38.3% | 14.8% | Claude Sonnet 5 leads |
| AA-Omniscience Hallucination RateSource | 37.3% | 83.1% | Claude Sonnet 5 leads |
| MMLU-ProSource | — | 77.3% | Not comparable |
| GPQASource | — | 72.2% | Not comparable |
| GPQA-DSource | — | 72.2% | Not comparable |
Math1 benchmarks
| Benchmark | Claude Sonnet 5 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| AIME 2025Source | — | 82.1% | Not comparable |
MultimodalClaude Sonnet 5 wins10 benchmarks
| Benchmark | Claude Sonnet 5 | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| CharXivSource | 88.3% | 76.3% | Claude Sonnet 5 leads |
| CharXiv w/o toolsSource | 77% | — | Not comparable |
| AA-MMMU-ProSource | 77.3% | 53.2% | Claude Sonnet 5 leads |
| Design Arena WebsiteSource | 1314 | — | Not comparable |
| MMMUSource | — | 70.8% | Not comparable |
| MMLongBench-DocSource | — | 57.5% | 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 |
Frequently Asked Questions (4)
Which is better, Claude Sonnet 5 or Nemotron 3 Nano Omni 30B A3B?
Claude Sonnet 5 is ahead on BenchLM's BenchAlign leaderboard, 65.32 to 44.24. The biggest single separator in this matchup is CharXiv, where the scores are 88.3% and 76.3%.
Which is better for knowledge tasks, Claude Sonnet 5 or Nemotron 3 Nano Omni 30B A3B?
Nemotron 3 Nano Omni 30B A3B has the edge for knowledge tasks in this comparison, averaging 76.3 versus 57.4. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Sonnet 5 or Nemotron 3 Nano Omni 30B A3B?
Claude Sonnet 5 has the edge for coding in this comparison, averaging 76.7 versus 32. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Claude Sonnet 5 or Nemotron 3 Nano Omni 30B A3B?
Claude Sonnet 5 has the edge for multimodal and grounded tasks in this comparison, averaging 88.3 versus 76.3. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.
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