Model comparison
GPT-OSS 20B vs Nemotron 3 Nano 30B
Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-OSS 20B #159 (Supported); Nemotron 3 Nano 30B #98 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-OSS 20B and Nemotron 3 Nano 30B share 15 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to GPT-OSS 20B; 0 to Nemotron 3 Nano 30B.
Updated July 20, 2026- Shared results
- 15
- GPT-OSS 20B only
- 3
- Nemotron 3 Nano 30B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for GPT-OSS 20B and Nemotron 3 Nano 30B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 15 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.
GPT-OSS 20B has the larger context window at 128K, 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.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-OSS 20B | Nemotron 3 Nano 30B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-OSS 20B$0 input / $0 output | Nemotron 3 Nano 30B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | GPT-OSS 20B313 tok/s | Nemotron 3 Nano 30B152 tok/s | GPT-OSS 20B has the higher measured throughput. |
| First-answer latencyseconds to first token | GPT-OSS 20B0.65 s | Nemotron 3 Nano 30B1.90 s | GPT-OSS 20B reaches the first token sooner. |
| Context windowmaximum listed tokens | GPT-OSS 20B128K | Nemotron 3 Nano 30B32K | GPT-OSS 20B lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GPT-OSS 20B | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.9% | 14.2% | GPT-OSS 20B leads |
| AA-GPQA DiamondSource | 68.8% | 75.7% | Nemotron 3 Nano 30B leads |
| AA-HLESource | 9.8% | 10.2% | Nemotron 3 Nano 30B leads |
| AA-Omniscience IndexSource | -63.9% | -51.6% | Nemotron 3 Nano 30B leads |
| AA-Omniscience AccuracySource | 15.5% | 17.1% | Nemotron 3 Nano 30B leads |
| AA-Omniscience Hallucination RateSource | 94.1% | 82.9% | Nemotron 3 Nano 30B leads |
Multimodal1 benchmarks
| Benchmark | GPT-OSS 20B | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 885 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | GPT-OSS 20B | Nemotron 3 Nano 30B | Result |
|---|---|---|---|
| AA-IFBenchSource | 65.1% | 71.1% | Nemotron 3 Nano 30B leads |
Frequently Asked Questions (3)
Can I compare GPT-OSS 20B 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 GPT-OSS 20B and Nemotron 3 Nano 30B today?
GPT-OSS 20B: $0.00 input / $0.00 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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