LLM Comparison

GLM-5.3-Flash vs Qwen3.8 Flash Next: benchmark scores, pricing & comparison.

Side-by-side GLM-5.3-Flash vs Qwen3.8 Flash Next 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 leaderboardGLM-5.3-Flash model pageQwen3.8 Flash Next model page
Rank #9 vs #19AskClash overall scores 69.9 vs 57.6.
Pricing $0.15/$0.50 vs $0.16/$0.47Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightZ.AI vs Alibaba.

GLM-5.3-Flash vs Qwen3.8 Flash Next benchmark comparison

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

MetricGLM-5.3-FlashQwen3.8 Flash Next
Overall Score69.957.6
Leaderboard Rank#9#19
ACB61.266.5
RWT8.5—
HLE55.335.9
GPQA91.291.7
IFEval—81.3
SWE-Pro—62.5
Terminal-Bench84.3—
DeepSWE63.458.7
GDPval-AA1773.01743.0
Finance Agent57.9—
CharXiv89.490.6
Input Price (per 1M tokens)$0.15$0.16
Output Price (per 1M tokens)$0.50$0.47
Context Window1M1M
Benchmarks Published99

GLM-5.3-Flash vs Qwen3.8 Flash Next head-to-head charts

GLM-5.3-Flash leads 4 and Qwen3.8 Flash Next leads 3 of 7 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-FlashQwen3.8 Flash Next
Overall
69.9GLM-5.3-Flash
57.6Qwen3.8 Flash Next
ACB
61.2GLM-5.3-Flash
66.5Qwen3.8 Flash Next
HLE
55.3GLM-5.3-Flash
35.9Qwen3.8 Flash Next
GPQA
91.2GLM-5.3-Flash
91.7Qwen3.8 Flash Next
DeepSWE
63.4GLM-5.3-Flash
58.7Qwen3.8 Flash Next
GDPval-AA
1773.0GLM-5.3-Flash
1743.0Qwen3.8 Flash Next
CharXiv
89.4GLM-5.3-Flash
90.6Qwen3.8 Flash Next
GLM-5.3-Flash
Input$0.15
Output$0.50
Workload$0.25
Context1M
Qwen3.8 Flash Next
Input$0.16
Output$0.47
Workload$0.25
Context1M

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

More GLM-5.3-Flash and Qwen3.8 Flash Next comparisons

Explore how GLM-5.3-Flash and Qwen3.8 Flash Next stack up against other top-ranked LLMs.

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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.