Model comparison
Claude Opus 4.6 vs Nemotron 3 Super 100B
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.6 #16 (Supported); Nemotron 3 Super 100B #117 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.6 and Nemotron 3 Super 100B share 1 comparable benchmark result. 0 of 8 categories are comparable. 45 results are unique to Claude Opus 4.6; 0 to Nemotron 3 Super 100B.
Updated July 20, 2026- Shared results
- 1
- Claude Opus 4.6 only
- 45
- Nemotron 3 Super 100B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.6 and Nemotron 3 Super 100B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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 Opus 4.6 is priced at $5.00 input / $25.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Super 100B.
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 Opus 4.6 | Δ | Nemotron 3 Super 100B |
|---|---|---|---|
| Agentic | Claude Opus 4.673.0 | MarginNo overlap | Nemotron 3 Super 100BNot measured |
| Coding | Claude Opus 4.668.1 | MarginNo overlap | Nemotron 3 Super 100BNot measured |
| Knowledge | Claude Opus 4.669.1 | MarginNo overlap | Nemotron 3 Super 100BNot measured |
| Math | Claude Opus 4.636.3 | MarginNo overlap | Nemotron 3 Super 100BNot measured |
| Multimodal | Claude Opus 4.677.3 | MarginNo overlap | Nemotron 3 Super 100BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.6 | Nemotron 3 Super 100B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.6$5 input / $25 output | Nemotron 3 Super 100B$0 input / $0 output | Nemotron 3 Super 100B has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.640 tok/s | Nemotron 3 Super 100B367 tok/s | Nemotron 3 Super 100B has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude Opus 4.61.78 s | Nemotron 3 Super 100B0.71 s | Nemotron 3 Super 100B reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude Opus 4.61M | Nemotron 3 Super 100B1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | Claude Opus 4.6 | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 65.4% | — | Not comparable |
| BrowseCompSource | 83.7% | — | Not comparable |
| OSWorld-VerifiedSource | 72.7% | — | Not comparable |
| τ²-bench resultsSource | 84.8% | — | Not comparable |
| Claw-EvalSource | 70.4% | 5.5% | Claude Opus 4.6 leads |
| DeepSearchQASource | 73.7% | — | Not comparable |
| CyberGymSource | 66.6% | — | Not comparable |
| Gert LabsSource | 61.85% | — | Not comparable |
| ResearchClawBenchSource | 19.9% | — | Not comparable |
| JobBenchSource | 36.7% | — | Not comparable |
Coding9 benchmarks
| Benchmark | Claude Opus 4.6 | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.8% | — | Not comparable |
| SWE-bench Verified*Source | 75.6% | — | Not comparable |
| LiveCodeBench ProSource | 70.7% | — | Not comparable |
| SWE-bench ProSource | 53.4% | — | Not comparable |
| SWE-RebenchSource | 65.3% | — | Not comparable |
| React Native EvalsSource | 84.1% | — | Not comparable |
| Vibe Code BenchSource | 57.57% | — | Not comparable |
| AA-SciCodeSource | 45.7% | — | Not comparable |
| FrontierCode 1.1 MainSource | 26.9% | — | Not comparable |
Reasoning2 benchmarks
Knowledge15 benchmarks
| Benchmark | Claude Opus 4.6 | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| GPQASource | 91.3% | — | Not comparable |
| GPQA-DSource | 89.2% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 82% | — | Not comparable |
| MMLU-Pro (Arcee)Source | 89.1% | — | Not comparable |
| HLESource | 53% | — | Not comparable |
| HLE w/o toolsSource | 40% | — | Not comparable |
| HealthBench HardSource | 14.8% | — | Not comparable |
| MedXpertQA (Text)Source | 52.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 37.8% | — | Not comparable |
| AA-GPQA DiamondSource | 84.0% | — | Not comparable |
| AA-HLESource | 18.6% | — | Not comparable |
| AA-Omniscience IndexSource | 3.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 45.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 76.0% | — | Not comparable |
Math3 benchmarks
Multimodal6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.6 | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| AA-IFBenchSource | 44.6% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Opus 4.6 and Nemotron 3 Super 100B 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 Opus 4.6 and Nemotron 3 Super 100B today?
Claude Opus 4.6: $5.00 input / $25.00 output per 1M tokens Nemotron 3 Super 100B: $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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