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。

GPT-4o(2024-11-20)
OpenAI
Each axis is a category average, normalized to a 100-point radar.
Relative edge: none clear / Relative gap: 常识问答 -13.9
Relative edge: 常识问答 +13.9 / 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 · 61.30
Best single
GPT-4o(2024-11-20) · HumanEval 90.20
Modality coverage
DeepSeek-V3 · 0 modalities
Head to head
6
Benchmarks
3
Wins
3
Losses
+1.07
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.
6 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | DeepSeek-V3 | GPT-4o(2024-11-20) |
|---|---|---|
MMLU 综合评估 | 88.50Standard Mode | 85.70Standard Mode |
MMLU Pro 综合评估 | 75.90Standard Mode | 77.90Standard Mode |
HumanEval 编程与软件工程 | 89.00Standard Mode | 90.20Standard Mode |
FrontierMath 数学推理 | 1.70Standard Mode | 0.30Standard Mode |
MATH 数学推理 | 87.80Standard Mode | 68.50Standard Mode |
SimpleQA 常识问答 | 24.90Standard Mode | 38.80Standard Mode |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | DeepSeek-V3DeepSeek-AI | GPT-4o(2024-11-20)OpenAI |
|---|---|---|
Core specsRelease | 2024-12-26 | 2024-11-20 |
Context length | 128K | 128K |
Parameters | 6810 | — |
MoE | No | No |
LicenseCode Open Source | Closed Source | Not provided |
Weights Open Source | Not provided | Not provided |
Commercial use | 免费商用授权 | 不开源 |
ResourcesPaper / report | Introducing DeepSeek-V3 | |
DataLearner blog | 开源大模型的新里程碑:DeepSeek AI开源6510亿参数的DeepSeek V3模型,评测结果显著好于4050亿参数的Llama3.1 405B,比肩Sonnet 3.5的开源模型 | Not provided |