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。
Each axis is a category average, normalized to a 100-point radar.
Relative edge: 生产力知识 +31.0 / Relative gap: Agent能力评测 -1.4
Relative edge: Agent能力评测 +1.4 / Relative gap: 生产力知识 -31.0
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
GPT-5.2 · 62.75
Best single
GPT-5.2 · τ²-Bench - Telecom 98.70
Modality coverage
Gemini 3.0 Pro (Preview 11-2025) · 4 modalities
Head to head
8
Benchmarks
5
Wins
2
Losses
+5.70
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 | GPT-5.2 | Gemini 3.0 Pro (Preview 11-2025) |
|---|---|---|
HLE 综合评估 | 45.50Deep Thinking Mode ｜ Tools | 45.80Thinking Level · High ｜ Tools |
SWE-bench Verified 编程与软件工程 | 80.00Thinking Level · Extra High ｜ Tools | 76.20Thinking Enabled |
FrontierMath 数学推理 | 40.30Thinking Level · Extra High ｜ Tools | 38.00Thinking Enabled |
18.80Thinking Level · Extra High | 18.80Thinking Enabled | |
τ²-Bench Agent能力评测 | 82.00Thinking Level · Extra High ｜ Tools | 85.40Thinking Enabled ｜ Tools |
τ²-Bench - Telecom Agent能力评测 | 98.70Thinking Level · Extra High ｜ Tools | 98.00Thinking Level · High ｜ Tools |
BrowseComp AI Agent - 信息收集 | 65.80Thinking Level · Extra High ｜ Tools | 59.20Thinking Level · High ｜ Tools |
GDPval-AA 生产力知识 | 70.90Thinking Level · High ｜ Tools | 35.00Thinking Level · High |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | GPT-5.2OpenAI | Gemini 3.0 Pro (Preview 11-2025)Google Deep Mind |
|---|---|---|
Core specsRelease | 2025-12-11 | 2025-11-18 |
Context length | 400K | 1000K |
Max output | Not provided | 65536 |
MoE | No | No |
Supported modes | No mode data | 常规模式（Non-Thinking Mode）思考模式（Thinking Mode）深度思考（Deeper Thinking Mode） |
LicenseCode Open Source | Not provided | Not provided |
Weights Open Source | Not provided | Not provided |
Commercial use | 不开源 | 不开源 |
Modality supportText Input/Output | / | / |
Image Input/Output | / | / |
Audio Input/Output | Not provided | / |
Video Input/Output | Not provided | / |
ResourcesPaper / report | Introducing GPT-5.2 | A new era of intelligence with Gemini 3 |
DataLearner blog | Not provided | 大模型新王者！谷歌发布Gemini 3.0 Pro，各方面评测几乎都是第一，全球首个大模型匿名投票得分超1500分的模型，支持100万输入上下文！ |
Gemini 3.0 Pro (Preview 11-2025)
Google Deep Mind
