Model comparison
GPT-OSS 20B 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-OSS 20B #159 (Supported); Nemotron 3 Super 100B #117 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-OSS 20B and Nemotron 3 Super 100B share 0 comparable benchmark results. 0 of 8 categories are comparable. 18 results are unique to GPT-OSS 20B; 1 to Nemotron 3 Super 100B.
Updated July 21, 2026- Shared results
- 0
- GPT-OSS 20B only
- 18
- Nemotron 3 Super 100B only
- 1
- Comparable categories
- 0 / 8
Benchmark data for GPT-OSS 20B 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.
Nemotron 3 Super 100B has the larger context window at 1M, compared with 128K for GPT-OSS 20B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-OSS 20B | Nemotron 3 Super 100B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-OSS 20B$0 input / $0 output | Nemotron 3 Super 100B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | GPT-OSS 20B313 tok/s | Nemotron 3 Super 100B367 tok/s | Nemotron 3 Super 100B has the higher measured throughput. |
| First-answer latencyseconds to first token | GPT-OSS 20B0.65 s | Nemotron 3 Super 100B0.71 s | GPT-OSS 20B reaches the first token sooner. |
| Context windowmaximum listed tokens | GPT-OSS 20B128K | Nemotron 3 Super 100B1M | Nemotron 3 Super 100B lists the larger context window. |
Benchmark Deep Dive
Agentic6 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GPT-OSS 20B | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.9% | — | Not comparable |
| AA-GPQA DiamondSource | 68.8% | — | Not comparable |
| AA-HLESource | 9.8% | — | Not comparable |
| AA-Omniscience IndexSource | -63.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 15.5% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 94.1% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | GPT-OSS 20B | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 882 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-OSS 20B | Nemotron 3 Super 100B | Result |
|---|---|---|---|
| AA-IFBenchSource | 65.1% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-OSS 20B 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-OSS 20B and Nemotron 3 Super 100B today?
GPT-OSS 20B: $0.00 input / $0.00 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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