Model comparison
Claude 4 Sonnet vs Nemotron 3 Nano Omni 30B A3B
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude 4 Sonnet #168 (Supported); Nemotron 3 Nano Omni 30B A3B #159 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude 4 Sonnet and Nemotron 3 Nano Omni 30B A3B share 12 comparable benchmark results. 1 of 8 categories are comparable. 4 results are unique to Claude 4 Sonnet; 17 to Nemotron 3 Nano Omni 30B A3B.
Updated July 27, 2026- Shared results
- 12
- Claude 4 Sonnet only
- 4
- Nemotron 3 Nano Omni 30B A3B only
- 17
- Comparable categories
- 1 / 8
Pick Nemotron 3 Nano Omni 30B A3B if you want the stronger benchmark profile. Claude 4 Sonnet only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Nemotron 3 Nano Omni 30B A3B has the cleaner BenchAlign overall profile here, landing at 43.32 versus 41.89. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Claude 4 Sonnet is also the more expensive model on tokens at $3.00 input / $15.00 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. Nemotron 3 Nano Omni 30B A3B is the reasoning model in the pair, while Claude 4 Sonnet is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Nemotron 3 Nano Omni 30B A3B gives you the larger context window at 256K, compared with 200K for Claude 4 Sonnet.
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 4 Sonnet | Δ | Nemotron 3 Nano Omni 30B A3B |
|---|---|---|---|
| Coding | Claude 4 Sonnet72.7 | Margin← 40.7 | Nemotron 3 Nano Omni 30B A3B32.0 |
| Knowledge | Claude 4 SonnetNot measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B76.3 |
| Multimodal | Claude 4 SonnetNot measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B76.3 |
| Inst. Following | Claude 4 SonnetNot measured | MarginNo overlap | Nemotron 3 Nano Omni 30B A3B74.2 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude 4 Sonnet | Nemotron 3 Nano Omni 30B A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude 4 Sonnet$3 input / $15 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 4 Sonnet40 tok/s | Nemotron 3 Nano Omni 30B A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude 4 Sonnet1.33 s | Nemotron 3 Nano Omni 30B A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude 4 Sonnet200K | Nemotron 3 Nano Omni 30B A3B256K | Nemotron 3 Nano Omni 30B A3B lists the larger context window. |
Benchmark Deep Dive
Agentic6 benchmarks
CodingClaude 4 Sonnet wins4 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Claude 4 Sonnet | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 25.5% | 14.9% | Claude 4 Sonnet leads |
| AA-GPQA DiamondSource | 68.3% | 46.9% | Claude 4 Sonnet leads |
| AA-HLESource | 4.0% | 5.3% | Nemotron 3 Nano Omni 30B A3B leads |
| AA-Omniscience IndexSource | -9.2% | -56.0% | Claude 4 Sonnet leads |
| AA-Omniscience AccuracySource | 22.4% | 14.8% | Claude 4 Sonnet leads |
| AA-Omniscience Hallucination RateSource | 40.8% | 83.1% | Claude 4 Sonnet leads |
| MMLU-ProSource | — | 77.3% | Not comparable |
| GPQASource | — | 72.2% | Not comparable |
| GPQA-DSource | — | 72.2% | Not comparable |
Math1 benchmarks
| Benchmark | Claude 4 Sonnet | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| AIME 2025Source | — | 82.1% | Not comparable |
Multimodal9 benchmarks
| Benchmark | Claude 4 Sonnet | Nemotron 3 Nano Omni 30B A3B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 62.4% | 53.2% | Claude 4 Sonnet leads |
| Design Arena WebsiteSource | 1170 | — | Not comparable |
| 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 |
Frequently Asked Questions (2)
Which is better, Claude 4 Sonnet or Nemotron 3 Nano Omni 30B A3B?
Nemotron 3 Nano Omni 30B A3B is ahead on BenchLM's BenchAlign leaderboard, 43.32 to 41.89.
Which is better for coding, Claude 4 Sonnet or Nemotron 3 Nano Omni 30B A3B?
Claude 4 Sonnet has the edge for coding in this comparison, averaging 72.7 versus 32. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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