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OpenAI

GPT-5.6 Sol

ReasoningClosed weights
Intelligence
39.2
Rank 72 of 744 measured models
Coding
76.3
Rank 19 of 298 measured models
Output speed
75.7 t/s
Rank 235 of 403 measured models
Price/1M
$8
Rank 603 of 659 measured models
Context window
1M
Rank 84 of 1199 measured models
Cost per task
$0.505
Rank 104 of 193 measured models

GPT-5.6 Sol (Medium) scores 39.2 on the Artificial Analysis Intelligence Index, ranking 72nd of 744 measured models. The closest models on this index are DeepSeek V4.1 Flash (39.5), Gemini 3.7 Flash (39.1), and GPT-5.4 (39.0). At $8 per million tokens (3:1 input/output blended price), it is more expensive than DeepSeek V4.1 Flash ($0.525), Gemini 3.7 Flash ($1.50), and GPT-5.4 ($5.63). With an output speed of 75.7 t/s, it is slower than DeepSeek V4.1 Flash (174 t/s), Gemini 3.7 Flash (299 t/s), and GPT-5.4 (85.5 t/s).

Artificial Analysis Indices
Medium
Intelligence39.2
Rank 72 of 744 measured models
Coding76.3
Rank 19 of 298 measured models
Agentic39.7
Rank 47 of 189 measured models
Reasoning levels
Each point is a reasoning level of this model: more reasoning often raises the score but costs more. Select a point to open that level.
Intelligence Indexmost efficient ↗Cost per task
Capability indexes
Performance in specific industries, measured by Artificial Analysis
Finance & Accounting42.8
Rank 61 of 218 measured models
Strategy & Ops48.2
Rank 50 of 218 measured models
Legal45.1
Rank 58 of 218 measured models
Healthcare & Medical39.0
Rank 34 of 82 measured models
Engineering40.1
Rank 66 of 217 measured models
Economics47.5
Rank 69 of 225 measured models
Standard Benchmarks
GPQA Diamond92.6%
Rank 33 of 619 measured models
HLE42.2%
Rank 70 of 664 measured models
SciCode57.4%
Rank 26 of 231 measured models
IFBench69.6%
Rank 74 of 450 measured models
AA-LCR80.3%
Rank 70 of 575 measured models
TerminalBench Hard62.9%
Rank 2 of 432 measured models
Terminal-Bench 2.186.1%
Rank 21 of 244 measured models
Terminal-Bench v414.6%
Rank 69 of 218 measured models
Models at a similar level
The closest models on the Intelligence Index, one configuration per family.

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