gpt-oss-20b vs Nemotron 3.5 Super VL
Price, context window & benchmark comparison
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Compare different models
Verdict: gpt-oss-20b is 4.2× cheaper than Nemotron 3.5 Super VL on a typical 3:1 input/output mix. Nemotron 3.5 Super VL has the larger context window (1M vs 131K).
| gpt-oss-20b | Nemotron 3.5 Super VL | |
|---|---|---|
| Input price / 1M | $0.03 | $0.15 |
| Output price / 1M | $0.13 | $0.47 |
| Blended price (3:1) | $0.055 | $0.23 |
| Cached input / 1M | $0.03 | $0.02 |
| Context window | 131K | 1M |
| Max output | 118K | 944K |
| Intelligence index | — | 13.6 |
| Coding index | 20.7 | — |
| Providers | — | 10 |
| Best provider uptime (30m) | — | 100.0% |
| Vision input | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2025-08-05 | 2026-10-15 |
| Retirement | — | — |
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FAQ
Which is cheaper, gpt-oss-20b or Nemotron 3.5 Super VL?
gpt-oss-20b is 4.2× cheaper than Nemotron 3.5 Super VL on a typical 3:1 input/output mix.
gpt-oss-20b vs Nemotron 3.5 Super VL: which has a bigger context window?
gpt-oss-20b: 131,072 tokens. Nemotron 3.5 Super VL: 1,048,576 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: gpt-oss-20b ≈ $125.00, Nemotron 3.5 Super VL ≈ $535.00.
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