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 V3.2
DeepSeek-AI
Each axis is a category average, normalized to a 100-point radar.
Relative edge: 数学推理 +45.4 / Relative gap: none clear
Relative edge: none clear / Relative gap: 数学推理 -45.4
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 · 70.52
Best single
DeepSeek V3.2 · AIME2025 93.10
Modality coverage
DeepSeek V3.2 · 1 modalities
Head to head
8
Benchmarks
8
Wins
0
Losses
+31.50
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.
8 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | DeepSeek V3.2 | DeepSeek-V3-0324 |
|---|---|---|
ARC-AGI 综合评估 | 57.00Thinking Enabled | 9.00Standard Mode |
GPQA Diamond 综合评估 | 82.40Thinking Enabled | 68.40Standard Mode |
HLE 综合评估 | 25.10Thinking Enabled | 5.20Standard Mode |
LiveCodeBench 编程与软件工程 | 83.30Thinking Enabled | 49.20Standard Mode |
SWE-bench Verified 编程与软件工程 | 73.10Thinking Enabled | Tools | 38.80Standard Mode |
AIME2025 数学推理 | 93.10Thinking Enabled | 47.70Standard Mode |
Aider-Polyglot Agent能力评测 | 69.90Thinking Enabled | Tools | 55.10Standard Mode |
τ²-Bench Agent能力评测 | 80.30Thinking Enabled | Tools | 38.80Standard Mode | Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | DeepSeek V3.2DeepSeek-AI | DeepSeek-V3-0324DeepSeek-AI |
|---|---|---|
Core specsRelease | 2025-12-01 | 2025-03-24 |
Context length | 128K | 128K |
Parameters | 6710 | 6710 |
Active parameters | 370 | 370 |
Max output | 8192 | Not provided |
MoE | Yes | Yes |
Supported modes | No mode data | 常规模式(Non-Thinking Mode) |
LicenseCode Open Source | Not provided | Closed Source |
Weights Open Source | Not provided | Closed Source |
Commercial use | 免费商用授权 | 免费商用授权 |
Modality supportText Input/Output | / | / |
ResourcesPaper / report | DeepSeek-V3.2 正式版发布与说明 | |
DataLearner blog | 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 | DeepSeekV3-0324发布:DeepSeek V3基础上大幅升级推理能力和前端网页的美观度,多项评测结果超过GPT-4.5 |

DeepSeek-V3-0324
DeepSeek-AI