Compare / head-to-head
gpt-oss-20bvsNVIDIA Nemotron 3 Nano 30B-A3B BF16
gpt-oss-20b and NVIDIA Nemotron 3 Nano 30B-A3B BF16 split their 2 shared benchmarks evenly. NVIDIA Nemotron 3 Nano 30B-A3B BF16 has the larger context window (1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
1 – 1
even split
Cheaper per token
—
list price, input + output
Larger context
NVIDIA Nemotron 3 Nano 30B-A3B BF16
1M tokens
Provider uptime (30d)
94.2446% · 100%
OpenAI · NVIDIA
gpt-oss-20b
OpenAI · released 2025-08-05
text
- Context
- 131K
- Max out
- 131K
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 6 · 5 core
NVIDIA Nemotron 3 Nano 30B-A3B BF16
NVIDIA · released 2025-12-15
text
- Context
- 1M
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 10 · 9 core
Quality
Benchmark matrix
2 shared · 3 only gpt-oss-20b · 8 only NVIDIA Nemotron 3 Nano 30B-A3B BF16| Benchmark | gpt-oss-20b | NVIDIA Nemotron 3 Nano 30B-A3B BF16 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 2 | ||||
| AIME 2025 | 89.2% ↗matharena ⚠ | 89.1% ↗ | +0.1 pt | gpt-oss-20b |
| LMArena Elo | 1287.3 ↗ | 1348.4 ↗ | -61.1 | NVIDIA Nemotron 3 Nano 30B-A3B BF16 |
| Only gpt-oss-20b reports · 3 | ||||
| SWE-bench Verified | 60.7% ↗ | not reported | — | — |
| GPQA Diamond | 71.5% ↗ | not reported | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 65.3% ↗epoch | not reported | — | — |
| Only NVIDIA Nemotron 3 Nano 30B-A3B BF16 reports · 8 | ||||
| MMLU-Pro | not reported | 78.3% ↗ | — | — |
| Humanity's Last Exam (no tools) | not reported | 10.6% ↗ | — | — |
| AIME 2025 (with tools) | not reported | 99.2% ↗ | — | — |
| GPQA (no tools) | not reported | 73% ↗ | — | — |
| GPQA (with tools) | not reported | 75% ↗ | — | — |
| Humanity's Last Exam (with tools) | not reported | 15.5% ↗ | — | — |
| LiveCodeBench | not reported | 68.3% ↗ | — | — |
| SWE-Bench (OpenHands) | not reported | 38.8% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is gpt-oss-20b minus NVIDIA Nemotron 3 Nano 30B-A3B BF16 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | gpt-oss-20b | NVIDIA Nemotron 3 Nano 30B-A3B BF16 | Edge |
|---|---|---|---|
| Context window | 131K tokens | 1M tokens | NVIDIA Nemotron 3 Nano 30B-A3B BF16 |
| Max output | 131K tokens | — | — |
| Input price / 1M | — | — | — |
| Output price / 1M | — | — | — |
| Cached input / 1M | — | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | — | — | — |
| Modalities | text | text | Tie |
| Released | 2025-08-05 | 2025-12-15 | — |
| Cited benchmark scores | 6 | 10 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
gpt-oss-20b vs …
Models sharing the most benchmarksMore matchups
NVIDIA Nemotron 3 Nano 30B-A3B BF16 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run gpt-oss-20b and NVIDIA Nemotron 3 Nano 30B-A3B BF16 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.