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-V4-Flash
DeepSeek-AI

Qwen3.8-27B
阿里巴巴
Each axis is a category average, normalized to a 100-point radar.
Relative edge: AI Agent - 工具使用 +9.7 / Relative gap: 科学与综合推理 -7.0
Relative edge: 科学与综合推理 +7.0 / Relative gap: AI Agent - 工具使用 -9.7
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 · 61.74
Best single
DeepSeek-V4-Flash · LiveCodeBench 91.60
Modality coverage
Qwen3.8-27B · 3 modalities
Head to head
8
Benchmarks
6
Wins
2
Losses
+5.50
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-V4-Flash | Qwen3.8-27B |
|---|---|---|
HLE 综合评估 | 45.10Thinking Level · Extra High | Tools | 30.80Thinking Enabled |
GPQA Diamond 科学与综合推理 | 88.10Thinking Level · High | 89.20Thinking Enabled |
DeepSWE 编程与软件工程 | 54.40Thinking Level · High | Tools | 42.20Thinking Enabled | Tools |
LiveCodeBench 编程与软件工程 | 91.60Thinking Level · High | 90.30Thinking Enabled |
NL2Repo-Bench 编程与软件工程 | 54.20Thinking Level · High | Tools | 42.30Thinking Enabled | Tools |
SWE-Bench Pro - Public 编程与软件工程 | 52.60Thinking Level · Extra High | Tools | 61.70Thinking Enabled | Tools |
Terminal-Bench 2.1 AI Agent - 工具使用 | 82.70Thinking Level · High | Tools | 73.00Thinking Enabled | Tools |
Agents' Last Exam Agent能力评测 | 25.20Thinking Level · High | Tools | 20.40Thinking Enabled | Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | DeepSeek-V4-FlashDeepSeek-AI | Qwen3.8-27B阿里巴巴 |
|---|---|---|
Core specsRelease | 2026-04-24 | 2026-08-14 |
Context length | 1M | 256K |
Parameters | 2840 | 270 |
Active parameters | 130 | 270 |
Max output | 384000 | 131072 |
MoE | Yes | No |
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 | / | / |
Image Input/Output | Not provided | / |
Video Input/Output | Not provided | / |
ResourcesPaper / report | DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence | 阿里Qwen3.8-Max模型发布:2.4万亿参数,瞄准复杂长程任务 |