Model comparison
GPT-5.1-Codex-Max vs Nemotron 3 Super 100B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.1-Codex-Max #90 (Estimated); Nemotron 3 Super 100B #117 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.1-Codex-Max and Nemotron 3 Super 100B share 0 comparable benchmark results. 0 of 8 categories are comparable. 13 results are unique to GPT-5.1-Codex-Max; 1 to Nemotron 3 Super 100B.
Updated July 21, 2026- Shared results
- 0
- GPT-5.1-Codex-Max only
- 13
- Nemotron 3 Super 100B only
- 1
- Comparable categories
- 0 / 8
Benchmark data for GPT-5.1-Codex-Max and Nemotron 3 Super 100B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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.
GPT-5.1-Codex-Max is priced at $1.25 input / $10.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Nemotron 3 Super 100B. Nemotron 3 Super 100B has the larger context window at 1M, compared with 400K for GPT-5.1-Codex-Max.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.1-Codex-Max | Nemotron 3 Super 100B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.1-Codex-Max$1.25 input / $10 output | Nemotron 3 Super 100B$0 input / $0 output | Nemotron 3 Super 100B has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.1-Codex-MaxNot available | Nemotron 3 Super 100B367 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.1-Codex-MaxNot available | Nemotron 3 Super 100B0.71 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.1-Codex-Max400K | Nemotron 3 Super 100B1M | Nemotron 3 Super 100B lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GPT-5.1-Codex-Max | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 34.7% | — | Not comparable |
| AA-GPQA DiamondSource | 86.0% | — | Not comparable |
| AA-HLESource | 23.4% | — | Not comparable |
| AA-Omniscience IndexSource | -6.0% | — | Not comparable |
| AA-Omniscience AccuracySource | 39.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 74.4% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | GPT-5.1-Codex-Max | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 72.5% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-5.1-Codex-Max | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| AA-IFBenchSource | 70.0% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-5.1-Codex-Max 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 GPT-5.1-Codex-Max and Nemotron 3 Super 100B today?
GPT-5.1-Codex-Max: $1.25 input / $10.00 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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