See key specs and per-benchmark scores for each model/mode. Scroll horizontally for all columns. 当前对比 2 个模型的评测数据与核心参数。

DeepSeek-V3.1
DeepSeek-AI
Each axis is a category average, normalized to a 100-point radar.
Relative edge: none clear / Relative gap: 数学推理 -24.0
Relative edge: 数学推理 +24.0 / Relative gap: none clear
Method: for each model and benchmark, the chart first averages all scores in the current mode scope instead of taking the best score, then averages those benchmark scores within each category. Only benchmarks with at least two selected models scored are included; missing values are not counted as zero.
Best overall
DeepSeek V3.2 · 71.40
Best single
DeepSeek V3.2 · AIME2025 93.10
Modality coverage
DeepSeek-V3.1 · 1 modalities
Head to head
5
Benchmarks
0
Wins
5
Losses
-6.36
Average diff
Compare benchmark results across thinking modes and tool usage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Complete scores for each model/mode across selected benchmarks.
5 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | DeepSeek-V3.1 | DeepSeek V3.2 |
|---|---|---|
GPQA Diamond 综合评估 | 80.10Thinking Enabled | 82.40Thinking Enabled |
HLE 综合评估 | 15.90Thinking Enabled | 25.10Thinking Enabled |
LiveCodeBench 编程与软件工程 | 74.80Thinking Enabled | 83.30Thinking Enabled |
SWE-bench Verified 编程与软件工程 | 66.00Standard Mode | 73.10Thinking Enabled | Tools |
AIME2025 数学推理 | 88.40Thinking Enabled | 93.10Thinking Enabled |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | DeepSeek-V3.1DeepSeek-AI | DeepSeek V3.2DeepSeek-AI |
|---|---|---|
Core specsRelease | 2025-08-20 | 2025-12-01 |
Context length | 128K | 128K |
Parameters | 6710 | 6710 |
Active parameters | 370 | 370 |
Max output | 8192 | 8192 |
MoE | Yes | Yes |
Supported modes | 常规模式(Non-Thinking Mode)思考模式(Thinking Mode) | No mode data |
LicenseCode Open Source | Closed Source | Not provided |
Weights Open Source | Closed Source | Not provided |
Commercial use | 免费商用授权 | 免费商用授权 |
Modality supportText Input/Output | / | / |
ResourcesPaper / report | DeepSeek-V3.1 Release | DeepSeek-V3.2 正式版发布与说明 |
DataLearner blog | DeepSeek V4没有等到,但是DeepSeekAI把DeepSeek V3升级到DeepSeek V3.1了,小幅更新,但核心架构和参数不变 | 复杂问题推理能力大幅提升,DeepSeekAI发布DeepSeek V3.2正式版本以及一个评测结果可以媲美Gemini 3.0 Pro的将开源模型推到极限性能的DeepSeek-V3.2-Speciale模型 |

DeepSeek V3.2
DeepSeek-AI