Which is better: GPT-6.1 Sol or GLM-5.3?

Verdict: GPT-6.1 Sol ranks higher (#6 vs #12) and wins 4 of 7 shared benchmarks; GLM-5.3 costs less ($1.40/$4.40 vs $2.00/$10.0 per 1M tokens). AskClash compares GPT-6.1 Sol and GLM-5.3 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-6.1 Sol and GLM-5.3 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-6.1 Sol and GLM-5.3 when publicly disclosed.

LLM Comparison

GPT-6.1 Sol vs GLM-5.3: benchmark scores, pricing & comparison.

Side-by-side GPT-6.1 Sol vs GLM-5.3 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-6.1 Sol ranks higher (#6 vs #12) and wins 4 of 7 shared benchmarks; GLM-5.3 costs less ($1.40/$4.40 vs $2.00/$10.0 per 1M tokens).

Open live leaderboard GPT-6.1 Sol model page GLM-5.3 model page

Rank #6 vs #12AskClash overall scores 72.5 vs 63.4.

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-6.1 Sol vs GLM-5.3 benchmark comparison

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

Metric	GPT-6.1 Sol	GLM-5.3
Overall Score	72.5	63.4
Leaderboard Rank	#6	#12
ACB	69.9	62.2
RWT	—	8.5
Coding Agent Index	62.9	—
HLE	52.9	62.5
GPQA	95.0	91.7
SWE-Atlas	61.0	—
Terminal-Bench	56.1	41.9
DeepSWE	75.2	69.0
GDPval-AA	1575.1	1769.0
Finance Agent	52.0	55.8
MMMU-Pro	86.0	—
ARC-AGI 2	94.2	—
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	14	10

GPT-6.1 Sol vs GLM-5.3 head-to-head charts

GPT-6.1 Sol leads 5 and GLM-5.3 leads 3 of 8 shared benchmarks. GLM-5.3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6.1 SolGLM-5.3

Overall

72.5GPT-6.1 Sol

63.4GLM-5.3

ACB

69.9GPT-6.1 Sol

62.2GLM-5.3

HLE

52.9GPT-6.1 Sol

62.5GLM-5.3

GPQA

95.0GPT-6.1 Sol

91.7GLM-5.3

Terminal-Bench

56.1GPT-6.1 Sol

41.9GLM-5.3

DeepSWE

75.2GPT-6.1 Sol

69.0GLM-5.3

GDPval-AA

1575.1GPT-6.1 Sol

1769.0GLM-5.3

Finance Agent

52.0GPT-6.1 Sol

55.8GLM-5.3

GPT-6.1 Sol

Input$2.00

Output$10.0

Workload$4.00

Context1.05M

GLM-5.3

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-6.1 Sol and GLM-5.3 comparisons

Explore how GPT-6.1 Sol and GLM-5.3 stack up against other top-ranked LLMs.

Claude Opus 5.5 vs GPT-6.1 Sol Claude Opus 5.5 vs GLM-5.3 Claude Fable 5.1 vs GPT-6.1 Sol Claude Fable 5.1 vs GLM-5.3 Claude Opus 5 vs GPT-6.1 Sol Claude Opus 5 vs GLM-5.3 Claude Sonnet 5.5 vs GPT-6.1 Sol Claude Sonnet 5.5 vs GLM-5.3 Claude Fable 5 vs GPT-6.1 Sol Claude Fable 5 vs GLM-5.3

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.