DeepSeek V4.1 Flash 1017 vs GPT-5.2-Codex
Price, context window & benchmark comparison
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Verdict: DeepSeek V4.1 Flash 1017 is 32.7× cheaper than GPT-5.2-Codex on a typical 3:1 input/output mix. DeepSeek V4.1 Flash 1017 has the larger context window (1M vs 400K).
| DeepSeek V4.1 Flash 1017 | GPT-5.2-Codex | |
|---|---|---|
| Input price / 1M | $0.098 | $1.75 |
| Output price / 1M | $0.29 | $14.00 |
| Blended price (3:1) | $0.15 | $4.81 |
| Cached input / 1M | $0.0029 | $0.17 |
| Context window | 1M | 400K |
| Max output | 393K | 128K |
| Intelligence index | 28.6 | — |
| Coding index | — | — |
| Providers | 47 | — |
| Best provider uptime (30m) | 100.0% | — |
| Vision input | Yes | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Released | 2026-10-17 | 2026-01-14 |
| Retirement | — | — |
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FAQ
Which is cheaper, DeepSeek V4.1 Flash 1017 or GPT-5.2-Codex?
DeepSeek V4.1 Flash 1017 is 32.7× cheaper than GPT-5.2-Codex on a typical 3:1 input/output mix.
DeepSeek V4.1 Flash 1017 vs GPT-5.2-Codex: which has a bigger context window?
DeepSeek V4.1 Flash 1017: 1,048,576 tokens. GPT-5.2-Codex: 400,000 tokens.
How much would 1 million requests cost?
At 2,000 input + 500 output tokens per request: DeepSeek V4.1 Flash 1017 ≈ $343.00, GPT-5.2-Codex ≈ $10,500.
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