Which is better: GPT-5.6 Terra or GLM-5.2?

Verdict: GPT-5.6 Terra ranks higher (#13 vs #31) and wins 7 of 11 shared benchmarks; GLM-5.2 costs less ($1.40/$4.40 vs $2.50/$15.0 per 1M tokens). AskClash compares GPT-5.6 Terra and GLM-5.2 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 Terra and GLM-5.2 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-5.2 when publicly disclosed.

LLM Comparison

GPT-5.6 Terra vs GLM-5.2: benchmark scores, pricing & comparison.

Side-by-side GPT-5.6 Terra vs GLM-5.2 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 Terra ranks higher (#13 vs #31) and wins 7 of 11 shared benchmarks; GLM-5.2 costs less ($1.40/$4.40 vs $2.50/$15.0 per 1M tokens).

Open live leaderboard GPT-5.6 Terra model page GLM-5.2 model page

Rank #13 vs #31AskClash overall scores 61.4 vs 52.7.

Pricing $2.50/$15.0 vs $1.40/$4.40Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightOpenAI vs Z.AI.

GPT-5.6 Terra vs GLM-5.2 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-5.2
Overall Score	61.4	52.7
Leaderboard Rank	#13	#31
ACB	56.4	—
RWT	8.5	8.5
Coding Agent Index	77.0	74.4
HLE	42.9	54.7
GPQA	92.9	91.2
IFEval	71.2	73.3
SWE-Pro	63.4	62.1
SWE-Atlas	81.0	74.4
Terminal-Bench	35.4	—
DeepSWE	69.6	43.8
GDPval-AA	1593.0	1373.9
MCP Atlas	—	76.8
Finance Agent	54.4	49.7
MMMU-Pro	80.7	—
ARC-AGI 2	83.9	—
Tau2	86.3	99.1
MRCR	89.6	—
Input Price (per 1M tokens)	$2.50	$1.40
Output Price (per 1M tokens)	$15.0	$4.40
Context Window	1M	1M
Benchmarks Published	15	12

GPT-5.6 Terra vs GLM-5.2 head-to-head charts

GPT-5.6 Terra leads 8 and GLM-5.2 leads 3 of 12 shared benchmarks. GLM-5.2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 TerraGLM-5.2

Overall

61.4GPT-5.6 Terra

52.7GLM-5.2

RWT

8.5GPT-5.6 Terra

8.5GLM-5.2

Coding Agent Index

77.0GPT-5.6 Terra

74.4GLM-5.2

HLE

42.9GPT-5.6 Terra

54.7GLM-5.2

GPQA

92.9GPT-5.6 Terra

91.2GLM-5.2

IFEval

71.2GPT-5.6 Terra

73.3GLM-5.2

SWE-Pro

63.4GPT-5.6 Terra

62.1GLM-5.2

SWE-Atlas

81.0GPT-5.6 Terra

74.4GLM-5.2

DeepSWE

69.6GPT-5.6 Terra

43.8GLM-5.2

GDPval-AA

1593.0GPT-5.6 Terra

1373.9GLM-5.2

Finance Agent

54.4GPT-5.6 Terra

49.7GLM-5.2

Tau2

86.3GPT-5.6 Terra

99.1GLM-5.2

GPT-5.6 Terra

Input$2.50

Output$15.0

Workload$5.50

Context1M

GLM-5.2

Input$1.40

Output$4.40

Workload$2.28

Context1M

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

More GPT-5.6 Terra and GLM-5.2 comparisons

Explore how GPT-5.6 Terra and GLM-5.2 stack up against other top-ranked LLMs.

Claude Opus 5.5 vs GPT-5.6 Terra Claude Opus 5.5 vs GLM-5.2 Claude Fable 5.1 vs GPT-5.6 Terra Claude Fable 5.1 vs GLM-5.2 Claude Opus 5 vs GPT-5.6 Terra Claude Opus 5 vs GLM-5.2 Claude Sonnet 5.5 vs GPT-5.6 Terra Claude Sonnet 5.5 vs GLM-5.2 Claude Fable 5 vs GPT-5.6 Terra Claude Fable 5 vs GLM-5.2

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.