DeepSeek-V3.2 (Thinking) vs LongCat-Flash-Thinking: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V3.2 (Thinking) | LongCat-Flash-Thinking |
|---|---|---|
| Company | DeepSeek | Meituan |
| Release Date | November 30, 2025 | September 21, 2025 |
| Parameters | 685B | 560B |
| Multimodal | No | No |
| Context (input) | 131K | — |
| Context (output) | 66K | — |
| Input Price / 1M | $0.28 | — |
| Output Price / 1M | $0.42 | — |
| Average Score | 0.9 | 0.9 |
| Benchmarks | ||
| MMLU-Pro | 0.8 | 0.8 |
| AIME 2025 | 0.9 | 0.9 |
| GPQA | 0.8 | 0.8 |
Visual Benchmark Comparison
DeepSeek-V3.2 (Thinking)
LongCat-Flash-Thinking
MMLU-Pro0.8 vs 0.8
0.8
0.8
AIME 20250.9 vs 0.9
0.9
0.9
GPQA0.8 vs 0.8
0.8
0.8
Verdict
DeepSeek-V3.2 (Thinking) leads in 1 out of 2 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V3.2 (Thinking) — 0.9, LongCat-Flash-Thinking — 0.9.
Recency
DeepSeek-V3.2 (Thinking) is newer: released 11/30/2025 vs 9/21/2025.
More About These Models
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The DeepSeek-V3.2 (Thinking) and LongCat-Flash-Thinking 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 LongCat-Flash-Thinking page. See also the complete list of AI model comparisons.