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

DeepSeek-V4-Flash
DeepSeek-AI
Each axis is a category average, normalized to a 100-point radar.
Relative edge: none clear / Relative gap: AI Agent - 信息收集 -12.0
Relative edge: AI Agent - 信息收集 +12.0 / 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-V4-Flash · 400.64
Best single
DeepSeek-V4-Flash · CodeForces 3052.00
Modality coverage
DeepSeek V3.2 · 1 modalities
Head to head
9
Benchmarks
0
Wins
9
Losses
-83.88
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.
9 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | DeepSeek V3.2 | DeepSeek-V4-Flash |
|---|---|---|
HLE 综合评估 | 25.10Thinking Enabled | 45.10Thinking Level · Extra High | Tools |
LiveBench 综合评估 | 62.20Thinking Enabled | 67.25Standard Mode |
GPQA Diamond 科学与综合推理 | 82.40Thinking Enabled | 88.10Thinking Level · High |
CodeForces 编程与软件工程 | 2386.00Thinking Enabled | 3052.00Thinking Level · High |
LiveCodeBench 编程与软件工程 | 83.30Thinking Enabled | 91.60Thinking Level · High |
SWE-Bench Pro - Public 编程与软件工程 | 40.90Thinking Enabled | 52.60Thinking Level · Extra High | Tools |
SWE-bench Verified 编程与软件工程 | 73.10Thinking Enabled | Tools | 79.00Thinking Level · Extra High | Tools |
BrowseComp AI Agent - 信息收集 | 51.40Thinking Enabled | 73.20Thinking Level · Extra High | Tools |
Terminal Bench 2.0 AI Agent - 工具使用 | 46.40Thinking Enabled | Tools | 56.90Thinking Level · Extra High | Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | DeepSeek V3.2DeepSeek-AI | DeepSeek-V4-FlashDeepSeek-AI |
|---|---|---|
Core specsRelease | 2025-12-01 | 2026-04-24 |
Context length | 128K | 1M |
Parameters | 671B | 284B |
Active parameters | 37B | 13B |
Max output | 8192 | 384000 |
MoE | Yes | Yes |
LicenseCode Open Source | Open Source · DEEPSEEK LICENSE AGREEMENT | Open Source · MIT License |
Weights Open Source | Open Source · DEEPSEEK LICENSE AGREEMENT | Open Source · MIT License |
Commercial use | 免费商用授权 | 免费商用授权 |
Local deploymentWeight size | 1.34TB | Not provided |
VRAM for weights | ≈ 1340 GB (weights only, excludes KV cache) | Not provided |
Weights | Hugging Face | Hugging Face |
Source repo | GitHub | Not provided |
Modality supportText Input/Output | / | / |
ResourcesPaper / report | DeepSeek-V3.2 正式版发布与说明 | DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence |
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 | Not provided |