LLM Comparison

GPT-5.5 vs GLM-5.3-Flash: benchmark scores, pricing & comparison.

Side-by-side GPT-5.5 vs GLM-5.3-Flash 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 leaderboardGPT-5.5 model pageGLM-5.3-Flash model page
Rank #11 vs #12AskClash overall scores 62.4 vs 61.9.
Pricing $5.00/$30.0 vs $0.15/$0.50Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightOpenAI vs Z.AI.

GPT-5.5 vs GLM-5.3-Flash benchmark comparison

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

MetricGPT-5.5GLM-5.3-Flash
Overall Score62.461.9
Leaderboard Rank#11#12
ACB62.061.2
RWT8.08.5
Coding Agent Index61.0—
HLE52.255.3
GPQA93.691.2
SWE-Pro58.6—
Terminal-Bench82.784.3
DeepSWE67.063.4
GDPval-AA—1773.0
OSWorld78.7—
MCP Atlas75.3—
Finance Agent51.857.9
CharXiv—89.4
MMMU-Pro81.2—
ARC-AGI 285.0—
Tau298.0—
Input Price (per 1M tokens)$5.00$0.15
Output Price (per 1M tokens)$30.0$0.50
Context Window1M1M
Benchmarks Published149

GPT-5.5 vs GLM-5.3-Flash head-to-head charts

GPT-5.5 leads 4 and GLM-5.3-Flash leads 4 of 8 shared benchmarks. GLM-5.3-Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.5GLM-5.3-Flash
Overall
62.4GPT-5.5
61.9GLM-5.3-Flash
ACB
62.0GPT-5.5
61.2GLM-5.3-Flash
RWT
8.0GPT-5.5
8.5GLM-5.3-Flash
HLE
52.2GPT-5.5
55.3GLM-5.3-Flash
GPQA
93.6GPT-5.5
91.2GLM-5.3-Flash
Terminal-Bench
82.7GPT-5.5
84.3GLM-5.3-Flash
DeepSWE
67.0GPT-5.5
63.4GLM-5.3-Flash
Finance Agent
51.8GPT-5.5
57.9GLM-5.3-Flash
GPT-5.5
Input$5.00
Output$30.0
Workload$11
Context1M
GLM-5.3-Flash
Input$0.15
Output$0.50
Workload$0.25
Context1M

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

More GPT-5.5 and GLM-5.3-Flash comparisons

Explore how GPT-5.5 and GLM-5.3-Flash stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GPT-5.5Claude Fable 5.1 vs GLM-5.3-FlashClaude Fable 5 vs GPT-5.5Claude Fable 5 vs GLM-5.3-FlashGPT-5.6 Sol vs GPT-5.5GPT-5.6 Sol vs GLM-5.3-FlashClaude Opus 5 vs GPT-5.5Claude Opus 5 vs GLM-5.3-FlashGrok 4.6 vs GPT-5.5Grok 4.6 vs GLM-5.3-Flash

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.