GPT-5.2 Codex vs LongCat-Flash-Thinking-2601: Specs & Benchmark Comparison
| Characteristic | GPT-5.2 Codex | LongCat-Flash-Thinking-2601 |
|---|---|---|
| Company | OpenAI | Meituan |
| Release Date | January 13, 2026 | January 13, 2026 |
| Parameters | — | 560B |
| Multimodal | Yes | No |
| Context (input) | 400K | — |
| Context (output) | 128K | — |
| Input Price / 1M | $1.75 | — |
| Output Price / 1M | $14.00 | — |
| Average Score | 0.6 | 0.8 |
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Both models show comparable average scores: GPT-5.2 Codex — 0.6, LongCat-Flash-Thinking-2601 — 0.8.
Recency
Both models were released around the same time: 1/13/2026 and 1/13/2026.
More About These Models
Related Comparisons
The GPT-5.2 Codex and LongCat-Flash-Thinking-2601 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GPT-5.2 Codex or LongCat-Flash-Thinking-2601 page. See also the complete list of AI model comparisons.