Model comparison
Claude Sonnet 4.6 vs Nemotron 3 Nano 30B
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: Claude Sonnet 4.6 #32 (Supported); Nemotron 3 Nano 30B #98 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 4.6 and Nemotron 3 Nano 30B share 11 comparable benchmark results. 0 of 8 categories are comparable. 22 results are unique to Claude Sonnet 4.6; 4 to Nemotron 3 Nano 30B.
Updated July 20, 2026- Shared results
- 11
- Claude Sonnet 4.6 only
- 22
- Nemotron 3 Nano 30B only
- 4
- Comparable categories
- 0 / 8
Benchmark data for Claude Sonnet 4.6 and Nemotron 3 Nano 30B 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.
Claude Sonnet 4.6 is priced at $3.00 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Nano 30B. Claude Sonnet 4.6 has the larger context window at 200K, compared with 32K for Nemotron 3 Nano 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.
| Category | Claude Sonnet 4.6 | Δ | Nemotron 3 Nano 30B |
|---|---|---|---|
| Agentic | Claude Sonnet 4.665.2 | MarginNo overlap | Nemotron 3 Nano 30BNot measured |
| Coding | Claude Sonnet 4.669.1 | MarginNo overlap | Nemotron 3 Nano 30BNot measured |
| Knowledge | Claude Sonnet 4.666.0 | MarginNo overlap | Nemotron 3 Nano 30BNot measured |
| Math | Claude Sonnet 4.626.4 | MarginNo overlap | Nemotron 3 Nano 30BNot measured |
| Multimodal | Claude Sonnet 4.677.4 | MarginNo overlap | Nemotron 3 Nano 30BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 4.6 | Nemotron 3 Nano 30B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.6$3 input / $15 output | Nemotron 3 Nano 30B$0 input / $0 output | Nemotron 3 Nano 30B has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 4.644 tok/s | Nemotron 3 Nano 30B152 tok/s | Nemotron 3 Nano 30B has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude Sonnet 4.61.48 s | Nemotron 3 Nano 30B1.90 s | Claude Sonnet 4.6 reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude Sonnet 4.6200K | Nemotron 3 Nano 30B32K | Claude Sonnet 4.6 lists the larger context window. |
Benchmark Deep Dive
Agentic11 benchmarks
| Benchmark | Claude Sonnet 4.6 | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| OSWorld-VerifiedSource | 72.1% | — | Not comparable |
| Claw-EvalSource | 67.8% | — | Not comparable |
| CyberGymSource | 65.2% | — | Not comparable |
| τ²-bench resultsSource | 79.5% | 40.9% | Claude Sonnet 4.6 leads |
| Gert LabsSource | 62.92% | — | Not comparable |
| OSWorld 2.0Source | 8.3% | — | Not comparable |
| JobBenchSource | 36.9% | — | Not comparable |
| GDPval-AASource | — | 0.0% | Not comparable |
| GDPval-AASource | — | 484 | Not comparable |
| AA Agentic IndexSource | — | 2.0% | Not comparable |
Coding8 benchmarks
| Benchmark | Claude Sonnet 4.6 | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 79.6% | — | Not comparable |
| SWE-RebenchSource | 60.7% | — | Not comparable |
| React Native EvalsSource | 80.6% | — | Not comparable |
| Vibe Code BenchSource | 51.48% | — | Not comparable |
| cursorBench31Source | 48.8% | — | Not comparable |
| AA-SciCodeSource | 46.9% | 29.6% | Claude Sonnet 4.6 leads |
| FrontierCode 1.1 MainSource | 24.3% | — | Not comparable |
| AA Coding IndexSource | — | 14.4% | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Sonnet 4.6 | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| GPQASource | 89.9% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 79.2% | — | Not comparable |
| HLESource | 49% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 35.9% | 14.2% | Claude Sonnet 4.6 leads |
| AA-GPQA DiamondSource | 79.9% | 75.7% | Claude Sonnet 4.6 leads |
| AA-HLESource | 13.2% | 10.2% | Claude Sonnet 4.6 leads |
| AA-Omniscience IndexSource | -2.9% | -51.6% | Claude Sonnet 4.6 leads |
| AA-Omniscience AccuracySource | 38.0% | 17.1% | Claude Sonnet 4.6 leads |
| AA-Omniscience Hallucination RateSource | 65.9% | 82.9% | Claude Sonnet 4.6 leads |
Math2 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 4.6 | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.2% | 71.1% | Nemotron 3 Nano 30B leads |
Frequently Asked Questions (3)
Can I compare Claude Sonnet 4.6 and Nemotron 3 Nano 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 Claude Sonnet 4.6 and Nemotron 3 Nano 30B today?
Claude Sonnet 4.6: $3.00 input / $15.00 output per 1M tokens Nemotron 3 Nano 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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