token.app › Compare › GPT-5.2-Codex vs DeepSeek V4.1 Flash 1017
GPT-5.2-Codex vs DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 is 18× cheaper per token on a blended 3:1 basis. DeepSeek V4.1 Flash 1017 accepts the larger context window (1.0M).
Head to head
Blended price uses a 3:1 input:output mix
| GPT-5.2-Codex | DeepSeek V4.1 Flash 1017 | |
|---|---|---|
| Provider | OpenAI | DeepSeek |
| Input $/1M | $1.75 | $0.150 |
| Output $/1M | $14.00 | $0.600 |
| Blended $/1M | $4.81 | $0.262 |
| Context window | 400K | 1.0M |
| Max output | 128K | 393K |
| Released | Jan 2026 | Oct 2026 |
| Licence | Proprietary | Open weights |
Choose GPT-5.2-Codex if…
- No clear advantage on the data we hold.
Choose DeepSeek V4.1 Flash 1017 if…
- Costs less per token — $0.262 vs $4.81 blended
- Larger context window (1.0M)
- Open weights — self-hostable
- Newer model (released Oct 2026)
FAQ
Which is better, GPT-5.2-Codex or DeepSeek V4.1 Flash 1017?
We do not hold independently-run benchmark scores covering both GPT-5.2-Codex and DeepSeek V4.1 Flash 1017, so we make no quality claim. Their pricing and specifications are compared on this page.
Is GPT-5.2-Codex cheaper than DeepSeek V4.1 Flash 1017?
DeepSeek V4.1 Flash 1017 is cheaper: $0.262 versus $4.81 per million tokens blended at 3:1 input:output. Input alone: $1.75 vs $0.150. Output alone: $14.00 vs $0.600.
What context windows do GPT-5.2-Codex and DeepSeek V4.1 Flash 1017 have?
GPT-5.2-Codex: 400,000 tokens. DeepSeek V4.1 Flash 1017: 1,048,576 tokens.
Who makes GPT-5.2-Codex and DeepSeek V4.1 Flash 1017?
GPT-5.2-Codex is made by OpenAI. DeepSeek V4.1 Flash 1017 is made by DeepSeek.