Which is better: GLM-5.2 or GPT-6 Sol?

AskClash compares GLM-5.2 and GPT-6 Sol 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 GLM-5.2 and GPT-6 Sol compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GLM-5.2 and GPT-6 Sol when publicly disclosed.

LLM Comparison

GLM-5.2 vs GPT-6 Sol: benchmark scores, pricing & comparison.

Side-by-side GLM-5.2 vs GPT-6 Sol 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 GLM-5.2 model page GPT-6 Sol model page

Rank #23 vs #30AskClash overall scores 61.1 vs 56.6.

Pricing $1.40/$4.40 vs $2.00/$10.0Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryZ.AI vs OpenAI.

GLM-5.2 vs GPT-6 Sol benchmark comparison

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

Metric	GLM-5.2	GPT-6 Sol
Overall Score	61.1	56.6
Leaderboard Rank	#23	#30
ACB	—	55.8
RWT	8.5	—
Coding Agent Index	74.4	—
HLE	54.7	47.9
GPQA	91.2	—
IFEval	73.3	—
SWE-Pro	62.1	—
SWE-Atlas	74.4	—
Terminal-Bench	82.7	—
DeepSWE	43.8	68.8
GDPval-AA	1357.5	1486.9
MCP Atlas	76.8	—
Finance Agent	49.7	—
MMMU-Pro	—	83.3
Tau2	99.1	—
Input Price (per 1M tokens)	$1.40	$2.00
Output Price (per 1M tokens)	$4.40	$10.0
Context Window	1M	1.05M
Benchmarks Published	13	6

GLM-5.2 vs GPT-6 Sol head-to-head charts

GLM-5.2 leads 2 and GPT-6 Sol leads 2 of 4 shared benchmarks. GLM-5.2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GLM-5.2GPT-6 Sol

Overall

61.1GLM-5.2

56.6GPT-6 Sol

HLE

54.7GLM-5.2

47.9GPT-6 Sol

DeepSWE

43.8GLM-5.2

68.8GPT-6 Sol

GDPval-AA

1357.5GLM-5.2

1486.9GPT-6 Sol

GLM-5.2

Input$1.40

Output$4.40

Workload$2.28

Context1M

GPT-6 Sol

Input$2.00

Output$10.0

Workload$4.00

Context1.05M

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

More GLM-5.2 and GPT-6 Sol comparisons

Explore how GLM-5.2 and GPT-6 Sol stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GLM-5.2 Claude Fable 5.1 vs GPT-6 Sol Claude Fable 5 vs GLM-5.2 Claude Fable 5 vs GPT-6 Sol Claude Opus 5.5 vs GLM-5.2 Claude Opus 5.5 vs GPT-6 Sol Claude Opus 5 vs GLM-5.2 Claude Opus 5 vs GPT-6 Sol GPT-5.6 Sol vs GLM-5.2 GPT-5.6 Sol vs GPT-6 Sol

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.