Model comparison
Claude Sonnet 4.6 vs Nemotron 3 Ultra
Head-to-head evidence from 18 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Claude Sonnet 4.6 #13; Nemotron 3 Ultra #24
BenchAlign evidence: Claude Sonnet 4.6 supported; Nemotron 3 Ultra not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 4.6 and Nemotron 3 Ultra share 18 comparable benchmark results. 3 of 8 categories are comparable. 16 results are unique to Claude Sonnet 4.6; 21 to Nemotron 3 Ultra.
Updated July 16, 2026- Shared results
- 18
- Claude Sonnet 4.6 only
- 16
- Nemotron 3 Ultra only
- 21
- Comparable categories
- 3 / 8
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. Nemotron 3 Ultra only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 18 shared benchmark results across 6 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 4.6 is clearly ahead on the provisional aggregate, 76 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6's sharpest advantage is in agentic, where it averages 65.2 against 51.3. The single biggest benchmark swing on the page is HLE, 49% to 26.7%.
Claude Sonnet 4.6 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 Ultra. That is roughly Infinityx on output cost alone. Nemotron 3 Ultra is the reasoning model in the pair, while Claude Sonnet 4.6 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 Ultra gives you the larger context window at 1M, compared with 200K for Claude Sonnet 4.6.
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 Ultra |
|---|---|---|---|
| Agentic | Claude Sonnet 4.665.2 | Margin← 13.9 | Nemotron 3 Ultra51.3 |
| Knowledge | Claude Sonnet 4.666.2 | Margin← 12.0 | Nemotron 3 Ultra54.2 |
| Coding | Claude Sonnet 4.669.1 | Margin← 10.8 | Nemotron 3 Ultra58.3 |
| Reasoning | Claude Sonnet 4.6Not measured | MarginNo overlap | Nemotron 3 Ultra61.9 |
| Math | Claude Sonnet 4.626.4 | MarginNo overlap | Nemotron 3 UltraNot measured |
| Multilingual | Claude Sonnet 4.6Not measured | MarginNo overlap | Nemotron 3 Ultra83.0 |
| Multimodal | Claude Sonnet 4.677.4 | MarginNo overlap | Nemotron 3 UltraNot measured |
| Inst. Following | Claude Sonnet 4.6Not measured | MarginNo overlap | Nemotron 3 Ultra81.7 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 49%B 26.7%Winner: Claude Sonnet 4.6Δ 22.3HLE: Claude Sonnet 4.6 scored 49%; Nemotron 3 Ultra scored 26.7%. Claude Sonnet 4.6 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 79.6%B 71.9%Winner: Claude Sonnet 4.6Δ 7.7SWE-bench Verified: Claude Sonnet 4.6 scored 79.6%; Nemotron 3 Ultra scored 71.9%. Claude Sonnet 4.6 wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 79.2%B 86.8%Winner: Nemotron 3 UltraΔ 7.6MMLU-Pro: Claude Sonnet 4.6 scored 79.2%; Nemotron 3 Ultra scored 86.8%. Nemotron 3 Ultra wins this benchmark. - Source ↗
GPQA
KnowledgeA 89.9%B 87%Winner: Claude Sonnet 4.6Δ 2.9GPQA: Claude Sonnet 4.6 scored 89.9%; Nemotron 3 Ultra scored 87%. Claude Sonnet 4.6 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 59.1%B 56.4%Winner: Claude Sonnet 4.6Δ 2.7Terminal-Bench 2.0: Claude Sonnet 4.6 scored 59.1%; Nemotron 3 Ultra scored 56.4%. Claude Sonnet 4.6 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 4.6 | Nemotron 3 Ultra | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.6$3 input / $15 output | Nemotron 3 Ultra$0 input / $0 output | Nemotron 3 Ultra has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 4.644 tok/s | Nemotron 3 UltraNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 4.61.48 s | Nemotron 3 UltraNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 4.6200K | Nemotron 3 Ultra1M | Nemotron 3 Ultra lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Sonnet 4.6 wins18 benchmarks
| Benchmark | Claude Sonnet 4.6 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | 56.4% | Claude Sonnet 4.6 leads |
| OSWorld-VerifiedSource | 72.1% | — | Not comparable |
| Claw-EvalSource | 67.8% | — | Not comparable |
| CyberGymSource | 65.2% | — | Not comparable |
| τ²-bench resultsSource | 79.5% | 83.3% | Nemotron 3 Ultra leads |
| Gert LabsSource | 62.92% | — | Not comparable |
| OSWorld 2.0Source | 8.3% | — | Not comparable |
| JobBenchSource | 36.9% | — | Not comparable |
| PinchBenchSource | — | 90.0% | Not comparable |
| BrowseCompSource | — | 44.4% | Not comparable |
| τ³-bench resultsSource | — | 70.9% | Not comparable |
| GDPval-AASource | — | 33.2% | Not comparable |
| HLE w/ toolsSource | — | 37.4% | Not comparable |
| AA Agentic IndexSource | — | 27.4% | Not comparable |
| GDPval-AASource | — | 1164 | Not comparable |
| AA BriefcaseSource | — | 870 | Not comparable |
| AA EnterpriseOps-GymSource | — | 28.9% | Not comparable |
| AA Harvey LABSource | — | 3.3% | Not comparable |
CodingClaude Sonnet 4.6 wins13 benchmarks
| Benchmark | Claude Sonnet 4.6 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 79.6% | 71.9% | Claude Sonnet 4.6 leads |
| 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 |
| Terminal-Bench HardSource | 46.2% | 36.4% | Claude Sonnet 4.6 leads |
| AA-SciCodeSource | 46.9% | 39.9% | Claude Sonnet 4.6 leads |
| FrontierCodeSource | 24.3% | — | Not comparable |
| SWE MultilingualSource | — | 67.7% | Not comparable |
| LiveCodeBench v6Source | — | 89.0% | Not comparable |
| SciCodeSource | — | 44.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 56.4% | Not comparable |
| AA Coding IndexSource | — | 49.3% | Not comparable |
Reasoning3 benchmarks
KnowledgeClaude Sonnet 4.6 wins13 benchmarks
| Benchmark | Claude Sonnet 4.6 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| GPQASource | 89.9% | 87% | Claude Sonnet 4.6 leads |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 79.2% | 86.8% | Nemotron 3 Ultra leads |
| HLESource | 49% | 26.7% | Claude Sonnet 4.6 leads |
| Artificial Analysis Intelligence IndexSource | 35.9% | 37.8% | Nemotron 3 Ultra leads |
| AA-GPQA DiamondSource | 79.9% | 86.7% | Nemotron 3 Ultra leads |
| AA-HLESource | 13.2% | 26.6% | Nemotron 3 Ultra leads |
| AA-Omniscience IndexSource | -2.9% | -0.8% | Nemotron 3 Ultra leads |
| AA-Omniscience AccuracySource | 38.0% | 21.6% | Claude Sonnet 4.6 leads |
| AA-Omniscience Hallucination RateSource | 65.9% | 28.5% | Nemotron 3 Ultra leads |
| GPQA-DSource | — | 87.0% | Not comparable |
| HLE w/o toolsSource | — | 26.7% | Not comparable |
| AA Openness IndexSource | — | 83.3% | Not comparable |
Math2 benchmarks
Multilingual1 benchmarks
| Benchmark | Claude Sonnet 4.6 | Nemotron 3 Ultra | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 83% | Not comparable |
Multimodal3 benchmarks
Frequently Asked Questions (4)
Which is better, Claude Sonnet 4.6 or Nemotron 3 Ultra?
Claude Sonnet 4.6 is ahead on BenchLM's provisional leaderboard, 76 to 60. The biggest single separator in this matchup is HLE, where the scores are 49% and 26.7%.
Which is better for knowledge tasks, Claude Sonnet 4.6 or Nemotron 3 Ultra?
Claude Sonnet 4.6 has the edge for knowledge tasks in this comparison, averaging 66.2 versus 54.2. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Sonnet 4.6 or Nemotron 3 Ultra?
Claude Sonnet 4.6 has the edge for coding in this comparison, averaging 69.1 versus 58.3. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Sonnet 4.6 or Nemotron 3 Ultra?
Claude Sonnet 4.6 has the edge for agentic tasks in this comparison, averaging 65.2 versus 51.3. Inside this category, τ²-bench results is the benchmark that creates the most daylight between them.
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