How do GPT-5.6 Sol and GPT-5.6 Terra 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-5.6 Terra when publicly disclosed.

LLM Comparison

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

Q: Which is better: GPT-5.6 Sol or GPT-5.6 Terra?

AskClash compares GPT-5.6 Sol and GPT-5.6 Terra side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side GPT-5.6 Sol vs GPT-5.6 Terra 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.

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

Rank #2 vs #8AskClash overall scores 85.6 vs 76.3.

Pricing $5.00/$30.0 vs $2.50/$15.0Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs OpenAI.

GPT-5.6 Sol vs GPT-5.6 Terra 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-5.6 Terra
Overall Score	85.6	76.3
Leaderboard Rank	#2	#8
RWT	9.5	8.5
Coding Agent Index	80.0	77.0
HLE	47.2	—
GPQA	94.1	92.9
SWE-Pro	64.6	63.4
SWE-Atlas	84.0	81.0
Terminal-Bench	88.8	87.4
DeepSWE	72.7	69.6
Finance Agent	53.8	52.4
MMMU-Pro	83.0	80.7
ARC-AGI 2	92.5	83.9
Tau2	85.1	86.3
MRCR	91.5	89.6
Input Price (per 1M tokens)	$5.00	$2.50
Output Price (per 1M tokens)	$30.0	$15.0
Context Window	1M	1M
Benchmarks Published	14	13

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

GPT-5.6 Sol leads 12 and GPT-5.6 Terra leads 1 of 13 shared benchmarks. GPT-5.6 Terra is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 SolGPT-5.6 Terra

Overall

85.6GPT-5.6 Sol

76.3GPT-5.6 Terra

RWT

9.5GPT-5.6 Sol

8.5GPT-5.6 Terra

Coding Agent Index

80.0GPT-5.6 Sol

77.0GPT-5.6 Terra

GPQA

94.1GPT-5.6 Sol

92.9GPT-5.6 Terra

SWE-Pro

64.6GPT-5.6 Sol

63.4GPT-5.6 Terra

SWE-Atlas

84.0GPT-5.6 Sol

81.0GPT-5.6 Terra

Terminal-Bench

88.8GPT-5.6 Sol

87.4GPT-5.6 Terra

DeepSWE

72.7GPT-5.6 Sol

69.6GPT-5.6 Terra

Finance Agent

53.8GPT-5.6 Sol

52.4GPT-5.6 Terra

MMMU-Pro

83.0GPT-5.6 Sol

80.7GPT-5.6 Terra

ARC-AGI 2

92.5GPT-5.6 Sol

83.9GPT-5.6 Terra

Tau2

85.1GPT-5.6 Sol

86.3GPT-5.6 Terra

GPT-5.6 Sol

Input$5.00

Output$30.0

Workload$11

Context1M

GPT-5.6 Terra

Input$2.50

Output$15.0

Workload$5.50

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-5.6 Terra comparisons

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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.