GPT-5.2-Codex vs Nemotron 3.5 Super VL
Price, context window & benchmark comparison
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Compare different models
Verdict: Nemotron 3.5 Super VL is 20.9× cheaper than GPT-5.2-Codex on a typical 3:1 input/output mix. Nemotron 3.5 Super VL has the larger context window (1M vs 400K).
| GPT-5.2-Codex | Nemotron 3.5 Super VL | |
|---|---|---|
| Input price / 1M | $1.75 | $0.15 |
| Output price / 1M | $14.00 | $0.47 |
| Blended price (3:1) | $4.81 | $0.23 |
| Cached input / 1M | $0.17 | $0.02 |
| Context window | 400K | 1M |
| Max output | 128K | 944K |
| Intelligence index | — | 13.6 |
| Coding index | — | — |
| Providers | — | 10 |
| Best provider uptime (30m) | — | 100.0% |
| Vision input | Yes | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-01-14 | 2026-10-15 |
| Retirement | — | — |
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FAQ
Which is cheaper, GPT-5.2-Codex or Nemotron 3.5 Super VL?
Nemotron 3.5 Super VL is 20.9× cheaper than GPT-5.2-Codex on a typical 3:1 input/output mix.
GPT-5.2-Codex vs Nemotron 3.5 Super VL: which has a bigger context window?
GPT-5.2-Codex: 400,000 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-5.2-Codex ≈ $10,500, Nemotron 3.5 Super VL ≈ $535.00.
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