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-5.5
OpenAI

GPT-5.6 Sol
OpenAI
Each axis is a category average, normalized to a 100-point radar.
Relative edge: 科学与综合推理 +1.1 / Relative gap: 数学推理 -7.1
Relative edge: 数学推理 +7.1 / Relative gap: 科学与综合推理 -1.1
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-5.6 Sol · 275.09
Best single
GPT-5.6 Sol · Text Arena (Coding) 1620.27
Modality coverage
GPT-5.5 · 2 modalities
Head to head
8
Benchmarks
1
Wins
7
Losses
-18.78
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-5.5 | GPT-5.6 Sol |
|---|---|---|
GPQA Diamond 科学与综合推理 | 94.00Thinking Level · Extra High | 93.50Thinking Level · High |
72.50Thinking Level · Extra High | 82.93Thinking Level · High | |
FrontierMath v2 数学推理 | 85.26Thinking Level · Extra High | 89.12Thinking Level · High |
DeepSWE 编程与软件工程 | 67.00Thinking Level · Extra High | Tools | 72.70Thinking Level · Extra High | Tools |
SWE-Bench Pro - Public 编程与软件工程 | 58.60Thinking Level · High | Tools | 64.60Thinking Level · Extra High | Tools |
Text Arena (Coding) 编程与软件工程 | 1504.74Thinking Level · Extra High | 1620.27Thinking Level · Extra High |
WeirdML v2 编程与软件工程 | 84.91Thinking Level · Extra High | Tools | 88.76Thinking Level · High | Tools |
Terminal-Bench 2.1 AI Agent - 工具使用 | 83.40Thinking Level · High | Tools | 88.80Thinking Level · High |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | GPT-5.5OpenAI | GPT-5.6 SolOpenAI |
|---|---|---|
Core specsRelease | 2026-04-23 | 2026-06-26 |
Context length | 1000K | 1.05M |
Max output | 131072 | 128000 |
MoE | No | No |
LicenseCode Open Source | Closed Source | Closed Source |
Weights Open Source | Closed Source | Closed Source |
Commercial use | 不开源 | 不开源 |
Modality supportText Input/Output | / | / |
Image Input/Output | / | / |
ResourcesPaper / report | Introducing GPT‑5.5 | Previewing GPT-5.6 Sol: a next-generation model |
DataLearner blog | OpenAI 发布 GPT-5.5:代号 | Not provided |