How do DeepSeek V4.1 Flash and GLM-5.2 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both DeepSeek V4.1 Flash and GLM-5.2 when publicly disclosed.

LLM Comparison

DeepSeek V4.1 Flash vs GLM-5.2: benchmark scores, pricing & comparison.

Q: Which is better: DeepSeek V4.1 Flash or GLM-5.2?

AskClash compares DeepSeek V4.1 Flash and GLM-5.2 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 DeepSeek V4.1 Flash vs GLM-5.2 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 DeepSeek V4.1 Flash model page GLM-5.2 model page

Rank #19 vs #21AskClash overall scores 62.2 vs 61.6.

Pricing $0.15/$0.60 vs $1.40/$4.40Input and output token prices per 1M tokens when published.

API vs Open WeightDeepSeek vs Z.AI.

DeepSeek V4.1 Flash vs GLM-5.2 benchmark comparison

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

Metric	DeepSeek V4.1 Flash	GLM-5.2
Overall Score	62.2	61.6
Leaderboard Rank	#19	#21
ACB	63.0	—
RWT	—	8.5
Coding Agent Index	—	74.4
HLE	36.8	54.7
GPQA	90.9	91.2
IFEval	—	73.3
SWE-Pro	—	62.1
SWE-Atlas	—	74.4
Terminal-Bench	90.6	82.7
DeepSWE	74.2	43.8
GDPval-AA	—	1417.6
MCP Atlas	—	76.8
Finance Agent	—	49.7
Tau2	—	99.1
Input Price (per 1M tokens)	$0.15	$1.40
Output Price (per 1M tokens)	$0.60	$4.40
Context Window	1M	1M
Benchmarks Published	5	13

DeepSeek V4.1 Flash vs GLM-5.2 head-to-head charts

DeepSeek V4.1 Flash leads 3 and GLM-5.2 leads 2 of 5 shared benchmarks. DeepSeek V4.1 Flash is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

DeepSeek V4.1 FlashGLM-5.2

Overall

62.2DeepSeek V4.1 Flash

61.6GLM-5.2

HLE

36.8DeepSeek V4.1 Flash

54.7GLM-5.2

GPQA

90.9DeepSeek V4.1 Flash

91.2GLM-5.2

Terminal-Bench

90.6DeepSeek V4.1 Flash

82.7GLM-5.2

DeepSWE

74.2DeepSeek V4.1 Flash

43.8GLM-5.2

DeepSeek V4.1 Flash

Input$0.15

Output$0.60

Workload$0.27

Context1M

GLM-5.2

Input$1.40

Output$4.40

Workload$2.28

Context1M

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

More DeepSeek V4.1 Flash and GLM-5.2 comparisons

Explore how DeepSeek V4.1 Flash and GLM-5.2 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs DeepSeek V4.1 Flash Claude Fable 5.1 vs GLM-5.2 Claude Fable 5 vs DeepSeek V4.1 Flash Claude Fable 5 vs GLM-5.2 Claude Opus 5 vs DeepSeek V4.1 Flash Claude Opus 5 vs GLM-5.2 GPT-5.6 Sol vs DeepSeek V4.1 Flash GPT-5.6 Sol vs GLM-5.2 Qwen3.8 Max vs DeepSeek V4.1 Flash Qwen3.8 Max vs GLM-5.2

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.