LLM Comparison

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

Side-by-side GLM-5.3-Flash vs Claude Haiku 5.5 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: GLM-5.3-Flash ranks higher (#23 vs #26); Claude Haiku 5.5 wins 3 of 5 shared benchmarks.

Rank #23 vs #26AskClash overall scores 54.3 vs 53.8.
Pricing $0.15/$0.50 vs $0.10/$0.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryZ.AI vs Anthropic.

GLM-5.3-Flash vs Claude Haiku 5.5 benchmark comparison

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

MetricGLM-5.3-FlashClaude Haiku 5.5
Overall Score54.353.8
Leaderboard Rank#23#26
ACB61.263.5
RWT8.5—
Coding Agent Index—37.3
HLE55.357.4
GPQA91.2—
SWE-Pro—64.8
SWE-Atlas—33.9
Terminal-Bench32.832.8
DeepSWE63.4—
GDPval-AA1773.01620.0
Finance Agent60.665.4
CharXiv89.4—
Input Price (per 1M tokens)$0.15$0.10
Output Price (per 1M tokens)$0.50$0.50
Context Window1M1M
Benchmarks Published1111

GLM-5.3-Flash vs Claude Haiku 5.5 head-to-head charts

GLM-5.3-Flash leads 2 and Claude Haiku 5.5 leads 3 of 6 shared benchmarks. Claude Haiku 5.5 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GLM-5.3-FlashClaude Haiku 5.5
Overall
54.3GLM-5.3-Flash
53.8Claude Haiku 5.5
ACB
61.2GLM-5.3-Flash
63.5Claude Haiku 5.5
HLE
55.3GLM-5.3-Flash
57.4Claude Haiku 5.5
Terminal-Bench
32.8GLM-5.3-Flash
32.8Claude Haiku 5.5
GDPval-AA
1773.0GLM-5.3-Flash
1620.0Claude Haiku 5.5
Finance Agent
60.6GLM-5.3-Flash
65.4Claude Haiku 5.5
GLM-5.3-Flash
Input$0.15
Output$0.50
Workload$0.25
Context1M
Claude Haiku 5.5
Input$0.10
Output$0.50
Workload$0.20
Context1M

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

More GLM-5.3-Flash and Claude Haiku 5.5 comparisons

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

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.