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 Pro
OpenAI
Best overall
GPT-5.6 Sol · 88.52
Best single
GPT-5.5 Pro · GPQA Diamond 93.92
Modality coverage
GPT-5.5 Pro · 2 modalities
Head to head
3
Benchmarks
1
Wins
2
Losses
-1.95
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.
3 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | GPT-5.5 Pro | GPT-5.6 Sol |
|---|---|---|
GPQA Diamond 科学与综合推理 | 93.92Thinking Level · Extra High | 93.50Thinking Level · High |
78.05Thinking Level · Extra High | 82.93Thinking Level · High | |
FrontierMath v2 数学推理 | 87.72Thinking Level · Extra High | 89.12Thinking Level · High |
Side-by-side input/output token pricing
Licensing, MoE architecture, and multi-modality support.
| Features & specs | GPT-5.5 ProOpenAI | 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 |
GPT-5.6 Sol
OpenAI
