DeepSeek-V3.2 (Thinking) vs Kimi K2.5: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V3.2 (Thinking) | Kimi K2.5 |
|---|---|---|
| Company | DeepSeek | Moonshot AI |
| Release Date | November 30, 2025 | January 26, 2026 |
| Parameters | 685B | 1.0T |
| Multimodal | No | Yes |
| Context (input) | 131K | — |
| Context (output) | 66K | — |
| Input Price / 1M | $0.28 | — |
| Output Price / 1M | $0.42 | — |
| Average Score | 0.9 | 0.9 |
| Benchmarks | ||
| GPQA | 0.8 | 0.9 |
| HMMT 2025 | 0.9 | 0.9 |
| AIME 2025 | 0.9 | 1.0 |
| MMLU-Pro | 0.8 | 0.9 |
Visual Benchmark Comparison
DeepSeek-V3.2 (Thinking)
Kimi K2.5
GPQA0.8 vs 0.9
0.8
0.9
HMMT 20250.9 vs 0.9
0.9
0.9
AIME 20250.9 vs 1.0
0.9
1.0
MMLU-Pro0.8 vs 0.9
0.8
0.9
Verdict
Kimi K2.5 leads in 1 out of 2 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V3.2 (Thinking) — 0.9, Kimi K2.5 — 0.9.
Recency
Kimi K2.5 is newer: released 1/26/2026 vs 11/30/2025.
More About These Models
Related Comparisons
The DeepSeek-V3.2 (Thinking) and Kimi K2.5 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 Kimi K2.5 page. See also the complete list of AI model comparisons.