How do GLM-5.3-Flash 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-5.3-Flash and GPT-6 Sol when publicly disclosed.

LLM Comparison

GLM-5.3-Flash vs GPT-6 Sol: benchmark scores, pricing & comparison.

Q: Which is better: GLM-5.3-Flash or GPT-6 Sol?

AskClash compares GLM-5.3-Flash 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.

Side-by-side GLM-5.3-Flash 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-5.3-Flash model page GPT-6 Sol model page

Rank #21 vs #30AskClash overall scores 62.4 vs 56.6.

Pricing $0.15/$0.50 vs $2.00/$10.0Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryZ.AI vs OpenAI.

GLM-5.3-Flash 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-5.3-Flash	GPT-6 Sol
Overall Score	62.4	56.6
Leaderboard Rank	#21	#30
ACB	61.2	55.8
RWT	8.5	—
HLE	55.3	47.9
GPQA	91.2	—
Terminal-Bench	84.3	—
DeepSWE	63.4	68.8
GDPval-AA	1773.0	1486.9
Finance Agent	57.9	—
CharXiv	89.4	—
MMMU-Pro	—	83.3
Input Price (per 1M tokens)	$0.15	$2.00
Output Price (per 1M tokens)	$0.50	$10.0
Context Window	1M	1.05M
Benchmarks Published	9	6

GLM-5.3-Flash vs GPT-6 Sol head-to-head charts

GLM-5.3-Flash leads 4 and GPT-6 Sol leads 1 of 5 shared benchmarks. GLM-5.3-Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GLM-5.3-FlashGPT-6 Sol

Overall

62.4GLM-5.3-Flash

56.6GPT-6 Sol

ACB

61.2GLM-5.3-Flash

55.8GPT-6 Sol

HLE

55.3GLM-5.3-Flash

47.9GPT-6 Sol

DeepSWE

63.4GLM-5.3-Flash

68.8GPT-6 Sol

GDPval-AA

1773.0GLM-5.3-Flash

1486.9GPT-6 Sol

GLM-5.3-Flash

Input$0.15

Output$0.50

Workload$0.25

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-5.3-Flash and GPT-6 Sol comparisons

Explore how GLM-5.3-Flash and GPT-6 Sol stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GLM-5.3-Flash Claude Fable 5.1 vs GPT-6 Sol Claude Fable 5 vs GLM-5.3-Flash Claude Fable 5 vs GPT-6 Sol Claude Opus 5.5 vs GLM-5.3-Flash Claude Opus 5.5 vs GPT-6 Sol Claude Opus 5 vs GLM-5.3-Flash Claude Opus 5 vs GPT-6 Sol GPT-5.6 Sol vs GLM-5.3-Flash 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.