DeepSeek-V3.2 (Thinking) vs GPT-5.2 Codex: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V3.2 (Thinking) | GPT-5.2 Codex |
|---|---|---|
| Company | DeepSeek | OpenAI |
| Release Date | November 30, 2025 | January 13, 2026 |
| Parameters | 685B | — |
| Multimodal | No | Yes |
| Context (input) | 131K | 400K |
| Context (output) | 66K | 128K |
| Input Price / 1M | $0.28 | $1.75 |
| Output Price / 1M | $0.42 | $14.00 |
| Average Score | 0.9 | 0.6 |
Verdict
GPT-5.2 Codex leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V3.2 (Thinking) — 0.9, GPT-5.2 Codex — 0.6.
API Cost
DeepSeek-V3.2 (Thinking) is 22.5x cheaper: input $0.28/1M vs $1.75/1M tokens.
Context Window
GPT-5.2 Codex supports a larger context: 400K vs 131K tokens.
Recency
GPT-5.2 Codex is newer: released 1/13/2026 vs 11/30/2025.
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The DeepSeek-V3.2 (Thinking) and GPT-5.2 Codex comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V3.2 (Thinking) or GPT-5.2 Codex page. See also the complete list of AI model comparisons.