Which is better: GPT-5.6 Sol or GPT-5.5?

Verdict: GPT-5.6 Sol ranks higher (#8 vs #28) and wins 10 of 13 shared benchmarks. AskClash compares GPT-5.6 Sol and GPT-5.5 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

How do GPT-5.6 Sol and GPT-5.5 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-5.6 Sol and GPT-5.5 when publicly disclosed.

LLM Comparison

GPT-5.6 Sol vs GPT-5.5: benchmark scores, pricing & comparison.

Side-by-side GPT-5.6 Sol vs GPT-5.5 comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Verdict: GPT-5.6 Sol ranks higher (#8 vs #28) and wins 10 of 13 shared benchmarks.

Open live leaderboard GPT-5.6 Sol model page GPT-5.5 model page

Rank #8 vs #28AskClash overall scores 69.6 vs 54.4.

Pricing $5.00/$30.0 vs $5.00/$30.0Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs OpenAI.

GPT-5.6 Sol vs GPT-5.5 benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

Metric	GPT-5.6 Sol	GPT-5.5
Overall Score	69.6	54.4
Leaderboard Rank	#8	#28
ACB	63.2	62.0
RWT	9.5	8.0
Coding Agent Index	80.0	—
HLE	47.2	52.2
GPQA	94.1	93.6
IFEval	72.7	75.9
SWE-Pro	64.6	58.6
SWE-Atlas	84.0	—
Terminal-Bench	39.9	14.7
DeepSWE	72.7	67.0
GDPval-AA	1748.0	1353.2
OSWorld	—	78.7
MCP Atlas	—	75.3
Finance Agent	53.8	51.8
MMMU-Pro	83.0	81.2
ARC-AGI 2	92.5	85.0
Tau2	85.1	98.0
MRCR	91.5	—
Input Price (per 1M tokens)	$5.00	$5.00
Output Price (per 1M tokens)	$30.0	$30.0
Context Window	1M	1M
Benchmarks Published	15	14

GPT-5.6 Sol vs GPT-5.5 head-to-head charts

GPT-5.6 Sol leads 11 and GPT-5.5 leads 3 of 14 shared benchmarks. Charts show only benchmarks both models publish.

GPT-5.6 SolGPT-5.5

Overall

69.6GPT-5.6 Sol

54.4GPT-5.5

ACB

63.2GPT-5.6 Sol

62.0GPT-5.5

RWT

9.5GPT-5.6 Sol

8.0GPT-5.5

HLE

47.2GPT-5.6 Sol

52.2GPT-5.5

GPQA

94.1GPT-5.6 Sol

93.6GPT-5.5

IFEval

72.7GPT-5.6 Sol

75.9GPT-5.5

SWE-Pro

64.6GPT-5.6 Sol

58.6GPT-5.5

Terminal-Bench

39.9GPT-5.6 Sol

14.7GPT-5.5

DeepSWE

72.7GPT-5.6 Sol

67.0GPT-5.5

GDPval-AA

1748.0GPT-5.6 Sol

1353.2GPT-5.5

Finance Agent

53.8GPT-5.6 Sol

51.8GPT-5.5

MMMU-Pro

83.0GPT-5.6 Sol

81.2GPT-5.5

GPT-5.6 Sol

Input$5.00

Output$30.0

Workload$11

Context1M

GPT-5.5

Input$5.00

Output$30.0

Workload$11

Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More GPT-5.6 Sol and GPT-5.5 comparisons

Explore how GPT-5.6 Sol and GPT-5.5 stack up against other top-ranked LLMs.

Claude Opus 5.5 vs GPT-5.6 Sol Claude Opus 5.5 vs GPT-5.5 Claude Fable 5.1 vs GPT-5.6 Sol Claude Fable 5.1 vs GPT-5.5 Claude Opus 5 vs GPT-5.6 Sol Claude Opus 5 vs GPT-5.5 Claude Sonnet 5.5 vs GPT-5.6 Sol Claude Sonnet 5.5 vs GPT-5.5 Claude Fable 5 vs GPT-5.6 Sol Claude Fable 5 vs GPT-5.5

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.