LLM Comparison

GLM-5.3-Flash vs Gemini 3.5 Flash-Lite: benchmark scores, pricing & comparison.

Side-by-side GLM-5.3-Flash vs Gemini 3.5 Flash-Lite 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.

Rank #7 vs #52AskClash overall scores 71.8 vs 9.7.
Pricing $0.15/$0.50 vs $0.30/$2.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryZ.AI vs Google.

GLM-5.3-Flash vs Gemini 3.5 Flash-Lite benchmark comparison

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

MetricGLM-5.3-FlashGemini 3.5 Flash-Lite
Overall Score71.89.7
Leaderboard Rank#7#52
ACB61.2
RWT8.57.0
HLE55.3
GPQA91.2
SWE-Pro54.2
Terminal-Bench84.354.0
DeepSWE63.4
GDPval-AA1773.01140.0
OSWorld74.0
Finance Agent47.4
CharXiv89.4
MRCR72.2
Input Price (per 1M tokens)$0.15$0.30
Output Price (per 1M tokens)$0.50$2.50
Context Window1M1M
Benchmarks Published87

GLM-5.3-Flash vs Gemini 3.5 Flash-Lite head-to-head charts

GLM-5.3-Flash leads 4 and Gemini 3.5 Flash-Lite leads 0 of 4 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-FlashGemini 3.5 Flash-Lite
Overall
71.8GLM-5.3-Flash
9.7Gemini 3.5 Flash-Lite
RWT
8.5GLM-5.3-Flash
7.0Gemini 3.5 Flash-Lite
Terminal-Bench
84.3GLM-5.3-Flash
54.0Gemini 3.5 Flash-Lite
GDPval-AA
1773.0GLM-5.3-Flash
1140.0Gemini 3.5 Flash-Lite
GLM-5.3-Flash
Input$0.15
Output$0.50
Workload$0.25
Context1M
Gemini 3.5 Flash-Lite
Input$0.30
Output$2.50
Workload$0.80
Context1M

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

More GLM-5.3-Flash and Gemini 3.5 Flash-Lite comparisons

Explore how GLM-5.3-Flash and Gemini 3.5 Flash-Lite 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.