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-5.1
OpenAI
Each axis is a category average, normalized to a 100-point radar.
Relative edge: 常识推理 +7.4 / Relative gap: 综合评估 -12.0
Relative edge: 综合评估 +12.0 / Relative gap: 常识推理 -7.4
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
GPT-5.2 · 67.81
Best single
GPT-5.2 · AIME2025 100.00
Modality coverage
GPT-5.1 · 2 modalities
Head to head
16
Benchmarks
1
Wins
15
Losses
-7.91
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.
16 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | GPT-5.1 | GPT-5.2 |
|---|---|---|
ARC-AGI 综合评估 | 72.80Thinking Level · High | 86.20Thinking Level · Extra High |
ARC-AGI-2 综合评估 | 17.60Thinking Level · High | 52.90Thinking Level · Extra High |
GPQA Diamond 综合评估 | 88.10Thinking Enabled | 92.40Thinking Level · Extra High |
HLE 综合评估 | 42.70Thinking Level · High | Tools | 45.50Deep Thinking Mode | Tools |
LiveBench 综合评估 | 72.04Thinking Level · High | 74.84Thinking Level · High |
IC SWE-Lancer(Diamond) 编程与软件工程 | 69.70Thinking Level · High | 74.60Thinking Level · Extra High | Tools |
SWE-Bench Pro - Public 编程与软件工程 | 50.80Thinking Level · High | 55.60Thinking Level · Extra High | Tools |
SWE-bench Verified 编程与软件工程 | 76.30Thinking Level · High | 80.00Thinking Level · Extra High | Tools |
AIME2025 数学推理 | 94.00Thinking Level · High | 100.00Thinking Level · Extra High |
FrontierMath 数学推理 | 26.70Thinking Level · High | Tools | 40.30Thinking Level · Extra High | Tools |
12.50Thinking Level · High | Tools | 18.80Thinking Level · Extra High | |
MMMU 多模态理解 | 85.40Thinking Level · High | 85.90Thinking Level · Extra High |
Simple Bench 常识推理 | 53.20Thinking Level · High | 45.80Thinking Level · High |
τ²-Bench - Telecom Agent能力评测 | 95.60Thinking Level · High | Tools | 98.70Thinking Level · Extra High | Tools |
BrowseComp AI Agent - 信息收集 | 50.80Thinking Level · High | 65.80Thinking Level · Extra High | Tools |
MCP-Atlas AI Agent - 工具使用 | 50.10Thinking Level · High | Tools | 67.60Thinking Level · Extra High | Tools |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | GPT-5.1OpenAI | GPT-5.2OpenAI |
|---|---|---|
Core specsRelease | 2025-11-12 | 2025-12-11 |
Context length | 400K | 400K |
Max output | 131072 | Not provided |
MoE | No | No |
Supported modes | 常规模式(Non-Thinking Mode)思考模式(Thinking Mode) | No mode data |
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 | / | / |
ResourcesPaper / report | GPT-5.1: A smarter, more conversational ChatGPT | Introducing GPT-5.2 |
DataLearner blog | OpenAI发布GPT-5.1:围绕“对话体验、一致性、任务适配性”进行的系统化优化的小幅更新! | Not provided |