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

Verdict: GPT-6 Sol ranks higher (#27 vs #30); GLM-5.2 wins 4 of 7 shared benchmarks; GLM-5.2 costs less ($1.40/$4.40 vs $2.00/$10.0 per 1M tokens). AskClash compares GPT-6 Sol 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-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-6 Sol and GLM-5.2 when publicly disclosed.

LLM Comparison

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

Side-by-side GPT-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.

Verdict: GPT-6 Sol ranks higher (#27 vs #30); GLM-5.2 wins 4 of 7 shared benchmarks; GLM-5.2 costs less ($1.40/$4.40 vs $2.00/$10.0 per 1M tokens).

Open live leaderboard GPT-6 Sol model page GLM-5.2 model page

Rank #27 vs #30AskClash overall scores 59.1 vs 57.2.

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

Proprietary vs Open WeightOpenAI vs Z.AI.

GPT-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-6 Sol	GLM-5.2
Overall Score	59.1	57.2
Leaderboard Rank	#27	#30
ACB	55.8	—
RWT	—	8.5
Coding Agent Index	56.7	74.4
HLE	47.9	54.7
GPQA	—	91.2
IFEval	—	73.3
SWE-Pro	—	62.1
SWE-Atlas	57.5	74.4
Terminal-Bench	83.2	82.7
DeepSWE	68.8	43.8
GDPval-AA	1486.9	1357.5
MCP Atlas	—	76.8
Finance Agent	49.0	49.7
MMMU-Pro	83.3	—
Tau2	—	99.1
Input Price (per 1M tokens)	$2.00	$1.40
Output Price (per 1M tokens)	$10.0	$4.40
Context Window	1.05M	1M
Benchmarks Published	12	13

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

GPT-6 Sol leads 4 and GLM-5.2 leads 4 of 8 shared benchmarks. GLM-5.2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6 SolGLM-5.2

Overall

59.1GPT-6 Sol

57.2GLM-5.2

Coding Agent Index

56.7GPT-6 Sol

74.4GLM-5.2

HLE

47.9GPT-6 Sol

54.7GLM-5.2

SWE-Atlas

57.5GPT-6 Sol

74.4GLM-5.2

Terminal-Bench

83.2GPT-6 Sol

82.7GLM-5.2

DeepSWE

68.8GPT-6 Sol

43.8GLM-5.2

GDPval-AA

1486.9GPT-6 Sol

1357.5GLM-5.2

Finance Agent

49.0GPT-6 Sol

49.7GLM-5.2

GPT-6 Sol

Input$2.00

Output$10.0

Workload$4.00

Context1.05M

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-6 Sol and GLM-5.2 comparisons

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

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