GPT-5.6 Sol (max)
OpenAIGPTProprietary
描述
GPT-5.6 Sol is the frontier model in OpenAI's GPT-5.6 family, designed for complex professional work across coding, knowledge work, cybersecurity, and science. It sets state-of-the-art results while using fewer tokens at lower estimated cost, supports max reasoning effort and an ultra multi-agent mode, and has a 1.05M-token context window. The gpt-5.6 alias routes to GPT-5.6 Sol.
发布日期
2026-07-09
参数规模
—
上下文长度
1.1M
支持模态
image, pdf, text
能力雷达图
58
general
74
coding
94
reasoning
72
science
70
agents
85
multimodal
排行榜排名
基准测试分数 (LLM Stats)
(LLM Stats (zeroeval))Agents
Connectors
100.0%自报
Capture-the-Flag Challenges (Internal)
96.7%自报
Search and Function-Calling
91.0%自报
SEC-bench Pro
71.2%自报
Internal Research Debugging Evaluation
68.3%自报
KernelGen 1P
61.1%自报
LifeSciBench
59.9%自报
Toolathlon
58.0%自报
RSI Index
57.9%自报
Big Finance Bench
53.0%自报
Agents' Last Exam
52.7%自报
PostTrainBench Lite
50.3%自报
Management Consulting Tasks (Internal)
43.2%自报
ExploitGym
33.7%自报
GeneBench-Pro
28.7%自报
AutomationBench
18.1%自报
NanoGPT
9.7%自报
Code
BenchCAD (with Python tool)
83.4%自报
ExploitBench
73.5%自报
DeepSWE 1.1
73.0%
DeepSWE
72.7%自报
BenchCAD
70.6%自报
General
Artificial Analysis
59.0%
GDP.pdf
30.7%自报
Healthcare
HealthBench Consensus
95.5%自报
HealthBench Professional
60.5%自报
HealthBench
57.0%自报
HealthBench Hard
33.1%自报
Long Context
MRCR v2 (8-needle)
91.5%自报
MRCR v2 (8-needle, 512K-1M)
73.8%自报
Math
FrontierMath
89.0%自报
FrontierMath Tier 4 (v2)
83.0%自报
Multimodal
OSWorld 2.0
62.6%自报
Reasoning
GPQANYU + Cohere + Anthropic (2023)
94.6%自报
Graphwalks BFS >128k
90.7%自报
BrowseCompOpenAI (2025)
90.4%自报
Terminal-Bench 2.1
88.8%自报
Graphwalks BFS 1M
77.1%自报
SWE-Bench ProPrinceton NLP (2024)
64.6%自报
MedChemBench (Internal)
48.3%自报
FrontierCode 1.1
47.5%
ARC-AGI-3
7.8%自报
Vision
MMMU-Pro (with tools)
84.6%自报
MMMU-Pro
83.0%自报
AA 评测指数
(Artificial Analysis)Coding Index(Artificial Analysis)77.4
Intelligence Index(Artificial Analysis)60.9
Gpqa(NYU + Cohere + Anthropic (2023))0.9
Terminalbench V2 10.9
Tau2(Sierra + U Toronto + Vector Institute (2025))0.9
Lcr(Artificial Analysis)0.8
Ifbench(Google Research (2023))0.7
Terminalbench Hard(Stanford × Laude Institute (2026))0.7
Scicode(UIUC + Argonne National Lab (2024))0.6
Hle(Center for AI Safety + Scale AI (2025))0.5
Tau Banking0.4
LLM Stats 分类评分
(LLM Stats (zeroeval))Math90
Physics90
Search90
Biology90
Chemistry90
Long Context80
Spatial Reasoning80
Multimodal70
Safety70
Tool Calling70
Vision70
Reasoning60
General60
Healthcare60
Agents60
Code60
Science50
Finance50
Systems40
定价
输入价格$5 / 1M tokens
输出价格$30 / 1M tokens
混合价格(3:1)$11.25 / 1M tokens
缓存读取价格$0.5 / 1M tokens
缓存写入价格$6.25 / 1M tokens
速度
Tokens/秒78.3
首Token延迟76.98s
首回答延迟76.98s
供应商价格排行
供应商价格排行
2 个供应商
最便宜: OpenAI最贵: Neon
供应商输入输出
1OpenAI最便宜
$0.00001
$0.00003
2Neon
$5
$30
比较该模型在不同 API 供应商之间的定价。