How do GPT-5.6 Sol 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 Sol and GLM-5.2 when publicly disclosed.

LLM Comparison

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

Q: Which is better: GPT-5.6 Sol or GLM-5.2?

AskClash compares GPT-5.6 Sol and GLM-5.2 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 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.

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

Rank #2 vs #12AskClash overall scores 85.6 vs 70.5.

Pricing $5.00/$30.0 vs $1.40/$4.40Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightOpenAI vs Z.AI.

GPT-5.6 Sol 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 Sol	GLM-5.2
Overall Score	85.6	70.5
Leaderboard Rank	#2	#12
RWT	9.5	8.5
Coding Agent Index	80.0	74.4
HLE	47.2	54.7
GPQA	94.1	91.2
IFEval	—	73.3
SWE-Pro	64.6	62.1
SWE-Atlas	84.0	74.4
Terminal-Bench	88.8	82.7
DeepSWE	72.7	43.8
MCP Atlas	—	76.8
Finance Agent	53.8	—
MMMU-Pro	83.0	—
ARC-AGI 2	92.5	—
Tau2	85.1	99.1
MRCR	91.5	—
Input Price (per 1M tokens)	$5.00	$1.40
Output Price (per 1M tokens)	$30.0	$4.40
Context Window	1M	1M
Benchmarks Published	14	11

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

GPT-5.6 Sol leads 8 and GLM-5.2 leads 2 of 10 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 SolGLM-5.2

Overall

85.6GPT-5.6 Sol

70.5GLM-5.2

RWT

9.5GPT-5.6 Sol

8.5GLM-5.2

Coding Agent Index

80.0GPT-5.6 Sol

74.4GLM-5.2

HLE

47.2GPT-5.6 Sol

54.7GLM-5.2

GPQA

94.1GPT-5.6 Sol

91.2GLM-5.2

SWE-Pro

64.6GPT-5.6 Sol

62.1GLM-5.2

SWE-Atlas

84.0GPT-5.6 Sol

74.4GLM-5.2

Terminal-Bench

88.8GPT-5.6 Sol

82.7GLM-5.2

DeepSWE

72.7GPT-5.6 Sol

43.8GLM-5.2

Tau2

85.1GPT-5.6 Sol

99.1GLM-5.2

GPT-5.6 Sol

Input$5.00

Output$30.0

Workload$11

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 Sol and GLM-5.2 comparisons

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

Claude Fable 5 vs GPT-5.6 Sol Claude Fable 5 vs GLM-5.2 GPT-5.6 Sol vs Kimi K3 Kimi K3 vs GLM-5.2 GPT-5.6 Sol vs Claude Opus 4.8 Claude Opus 4.8 vs GLM-5.2 GPT-5.6 Sol vs Grok 4.5 Grok 4.5 vs GLM-5.2 GPT-5.6 Sol vs Muse Spark 1.1 Muse Spark 1.1 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.