How do GPT-5.6 Terra and GLM 5.1 Thinking 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 GLM 5.1 Thinking when publicly disclosed.

LLM Comparison

GPT-5.6 Terra vs GLM 5.1 Thinking: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Terra or GLM 5.1 Thinking?

AskClash compares GPT-5.6 Terra and GLM 5.1 Thinking 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 GLM 5.1 Thinking 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 GLM 5.1 Thinking model page

Rank #11 vs #25AskClash overall scores 68.9 vs 50.5.

Pricing $2.50/$15.0 vs $0/$0Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs Zhipu AI.

GPT-5.6 Terra vs GLM 5.1 Thinking 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	GLM 5.1 Thinking
Overall Score	68.9	50.5
Leaderboard Rank	#11	#25
RWT	8.5	—
Coding Agent Index	77.0	36.1
HLE	—	52.3
GPQA	92.9	86.2
SWE-Pro	63.4	58.4
SWE-Atlas	81.0	—
Terminal-Bench	87.4	63.5
DeepSWE	69.6	—
MCP Atlas	—	71.8
Finance Agent	52.4	44.8
MMMU-Pro	80.7	—
ARC-AGI 2	83.9	—
Tau2	86.3	97.7
MRCR	89.6	—
Input Price (per 1M tokens)	$2.50	$0
Output Price (per 1M tokens)	$15.0	$0
Context Window	1M	203K
Benchmarks Published	14	9

GPT-5.6 Terra vs GLM 5.1 Thinking head-to-head charts

GPT-5.6 Terra leads 6 and GLM 5.1 Thinking leads 1 of 7 shared benchmarks. GLM 5.1 Thinking is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 TerraGLM 5.1 Thinking

Overall

68.9GPT-5.6 Terra

50.5GLM 5.1 Thinking

Coding Agent Index

77.0GPT-5.6 Terra

36.1GLM 5.1 Thinking

GPQA

92.9GPT-5.6 Terra

86.2GLM 5.1 Thinking

SWE-Pro

63.4GPT-5.6 Terra

58.4GLM 5.1 Thinking

Terminal-Bench

87.4GPT-5.6 Terra

63.5GLM 5.1 Thinking

Finance Agent

52.4GPT-5.6 Terra

44.8GLM 5.1 Thinking

Tau2

86.3GPT-5.6 Terra

97.7GLM 5.1 Thinking

GPT-5.6 Terra

Input$2.50

Output$15.0

Workload$5.50

Context1M

GLM 5.1 Thinking

Input$0

Output$0

Workload$0.00

Context203K

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

More GPT-5.6 Terra and GLM 5.1 Thinking comparisons

Explore how GPT-5.6 Terra and GLM 5.1 Thinking stack up against other top-ranked LLMs.

Claude Opus 5 vs GPT-5.6 Terra Claude Opus 5 vs GLM 5.1 Thinking Claude Fable 5 vs GPT-5.6 Terra Claude Fable 5 vs GLM 5.1 Thinking GPT-5.6 Sol vs GPT-5.6 Terra GPT-5.6 Sol vs GLM 5.1 Thinking Claude Opus 4.8 vs GPT-5.6 Terra Claude Opus 4.8 vs GLM 5.1 Thinking Kimi K3 vs GPT-5.6 Terra Kimi K3 vs GLM 5.1 Thinking

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.