LLM Comparison

GLM-5.3-Flash vs DeepSeek V4.1 Flash: benchmark scores, pricing & comparison.

Side-by-side GLM-5.3-Flash vs DeepSeek V4.1 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.

Rank #18 vs #22AskClash overall scores 63.1 vs 61.7.
Pricing $0.15/$0.50 vs $0.15/$0.60Input and output token prices per 1M tokens when published.
Open Weight vs APIZ.AI vs DeepSeek.

GLM-5.3-Flash vs DeepSeek V4.1 Flash benchmark comparison

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

MetricGLM-5.3-FlashDeepSeek V4.1 Flash
Overall Score63.161.7
Leaderboard Rank#18#22
ACB61.2
RWT8.5
HLE55.336.8
GPQA91.290.9
Terminal-Bench84.390.6
DeepSWE63.474.2
GDPval-AA1773.0
Finance Agent57.9
CharXiv89.4
Input Price (per 1M tokens)$0.15$0.15
Output Price (per 1M tokens)$0.50$0.60
Context Window1M1M
Benchmarks Published94

GLM-5.3-Flash vs DeepSeek V4.1 Flash head-to-head charts

GLM-5.3-Flash leads 3 and DeepSeek V4.1 Flash leads 2 of 5 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-FlashDeepSeek V4.1 Flash
Overall
63.1GLM-5.3-Flash
61.7DeepSeek V4.1 Flash
HLE
55.3GLM-5.3-Flash
36.8DeepSeek V4.1 Flash
GPQA
91.2GLM-5.3-Flash
90.9DeepSeek V4.1 Flash
Terminal-Bench
84.3GLM-5.3-Flash
90.6DeepSeek V4.1 Flash
DeepSWE
63.4GLM-5.3-Flash
74.2DeepSeek V4.1 Flash
GLM-5.3-Flash
Input$0.15
Output$0.50
Workload$0.25
Context1M
DeepSeek V4.1 Flash
Input$0.15
Output$0.60
Workload$0.27
Context1M

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

More GLM-5.3-Flash and DeepSeek V4.1 Flash comparisons

Explore how GLM-5.3-Flash and DeepSeek V4.1 Flash 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.