How do GLM-5.3-Flash and DeepSeek V4 Flash Vision Exp compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GLM-5.3-Flash and DeepSeek V4 Flash Vision Exp when publicly disclosed.

LLM Comparison

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

Q: Which is better: GLM-5.3-Flash or DeepSeek V4 Flash Vision Exp?

AskClash compares GLM-5.3-Flash and DeepSeek V4 Flash Vision Exp side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

Side-by-side GLM-5.3-Flash vs DeepSeek V4 Flash Vision Exp 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 leaderboard GLM-5.3-Flash model page DeepSeek V4 Flash Vision Exp model page

Rank #7 vs #19AskClash overall scores 71.8 vs 51.8.

Pricing $0.15/$0.50 vs $0.14/$0.28Input and output token prices per 1M tokens when published.

Open Weight vs APIZ.AI vs DeepSeek.

GLM-5.3-Flash vs DeepSeek V4 Flash Vision Exp benchmark comparison

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

Metric	GLM-5.3-Flash	DeepSeek V4 Flash Vision Exp
Overall Score	71.8	51.8
Leaderboard Rank	#7	#19
ACB	61.2	58.6
RWT	8.5	—
HLE	55.3	37.0
GPQA	91.2	91.0
SWE-bench	—	79.0
Terminal-Bench	84.3	83.9
DeepSWE	63.4	59.3
GDPval-AA	1773.0	—
MCP Atlas	—	69.0
Finance Agent	—	49.5
CharXiv	89.4	—
MRCR	—	78.7
Input Price (per 1M tokens)	$0.15	$0.14
Output Price (per 1M tokens)	$0.50	$0.28
Context Window	1M	1M
Benchmarks Published	8	10

GLM-5.3-Flash vs DeepSeek V4 Flash Vision Exp head-to-head charts

GLM-5.3-Flash leads 6 and DeepSeek V4 Flash Vision Exp leads 0 of 6 shared benchmarks. DeepSeek V4 Flash Vision Exp is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GLM-5.3-FlashDeepSeek V4 Flash Vision Exp

Overall

71.8GLM-5.3-Flash

51.8DeepSeek V4 Flash Vision Exp

ACB

61.2GLM-5.3-Flash

58.6DeepSeek V4 Flash Vision Exp

HLE

55.3GLM-5.3-Flash

37.0DeepSeek V4 Flash Vision Exp

GPQA

91.2GLM-5.3-Flash

91.0DeepSeek V4 Flash Vision Exp

Terminal-Bench

84.3GLM-5.3-Flash

83.9DeepSeek V4 Flash Vision Exp

DeepSWE

63.4GLM-5.3-Flash

59.3DeepSeek V4 Flash Vision Exp

GLM-5.3-Flash

Input$0.15

Output$0.50

Workload$0.25

Context1M

DeepSeek V4 Flash Vision Exp

Input$0.14

Output$0.28

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 DeepSeek V4 Flash Vision Exp comparisons

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Claude Opus 5 vs GLM-5.3-Flash Claude Opus 5 vs DeepSeek V4 Flash Vision Exp Claude Fable 5 vs GLM-5.3-Flash Claude Fable 5 vs DeepSeek V4 Flash Vision Exp GLM-5.3 vs GLM-5.3-Flash GLM-5.3 vs DeepSeek V4 Flash Vision Exp Grok 4.6 vs GLM-5.3-Flash Grok 4.6 vs DeepSeek V4 Flash Vision Exp GPT-5.6 Sol vs GLM-5.3-Flash GPT-5.6 Sol vs DeepSeek V4 Flash Vision Exp

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.