How do GPT-5.6 Terra and Gemini 3.1 Pro 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 Terra and Gemini 3.1 Pro when publicly disclosed.

LLM Comparison

GPT-5.6 Terra vs Gemini 3.1 Pro: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Terra or Gemini 3.1 Pro?

AskClash compares GPT-5.6 Terra and Gemini 3.1 Pro 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 Terra vs Gemini 3.1 Pro 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 Terra model page Gemini 3.1 Pro model page

Rank #8 vs #24AskClash overall scores 76.3 vs 51.9.

Pricing $2.50/$15.0 vs $2.00/$12.0Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs Google.

GPT-5.6 Terra vs Gemini 3.1 Pro benchmark comparison

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

Metric	GPT-5.6 Terra	Gemini 3.1 Pro
Overall Score	76.3	51.9
Leaderboard Rank	#8	#24
RWT	8.5	—
Coding Agent Index	77.0	29.2
HLE	—	51.4
GPQA	92.9	94.3
SWE-bench	—	80.6
SWE-Pro	63.4	54.2
SWE-Atlas	81.0	—
Terminal-Bench	87.4	68.5
DeepSWE	69.6	11.8
MCP Atlas	—	69.2
Finance Agent	52.4	43.0
CharXiv	—	80.2
MMMU-Pro	80.7	83.9
ARC-AGI 2	83.9	77.1
Tau2	86.3	99.3
MRCR	89.6	84.9
Input Price (per 1M tokens)	$2.50	$2.00
Output Price (per 1M tokens)	$15.0	$12.0
Context Window	1M	1M
Benchmarks Published	13	16

GPT-5.6 Terra vs Gemini 3.1 Pro head-to-head charts

GPT-5.6 Terra leads 8 and Gemini 3.1 Pro leads 3 of 11 shared benchmarks. Gemini 3.1 Pro is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 TerraGemini 3.1 Pro

Overall

76.3GPT-5.6 Terra

51.9Gemini 3.1 Pro

Coding Agent Index

77.0GPT-5.6 Terra

29.2Gemini 3.1 Pro

GPQA

92.9GPT-5.6 Terra

94.3Gemini 3.1 Pro

SWE-Pro

63.4GPT-5.6 Terra

54.2Gemini 3.1 Pro

Terminal-Bench

87.4GPT-5.6 Terra

68.5Gemini 3.1 Pro

DeepSWE

69.6GPT-5.6 Terra

11.8Gemini 3.1 Pro

Finance Agent

52.4GPT-5.6 Terra

43.0Gemini 3.1 Pro

MMMU-Pro

80.7GPT-5.6 Terra

83.9Gemini 3.1 Pro

ARC-AGI 2

83.9GPT-5.6 Terra

77.1Gemini 3.1 Pro

Tau2

86.3GPT-5.6 Terra

99.3Gemini 3.1 Pro

MRCR

89.6GPT-5.6 Terra

84.9Gemini 3.1 Pro

GPT-5.6 Terra

Input$2.50

Output$15.0

Workload$5.50

Context1M

Gemini 3.1 Pro

Input$2.00

Output$12.0

Workload$4.40

Context1M

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

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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.