How do GLM-5.2 and DeepSeek V4 Pro (Max) compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, LiveCodeBench, and coding agent index scores for both GLM-5.2 and DeepSeek V4 Pro (Max) when publicly disclosed.

LLM Comparison

GLM-5.2 vs DeepSeek V4 Pro (Max): benchmark scores, pricing & comparison.

Q: Which is better: GLM-5.2 or DeepSeek V4 Pro (Max)?

AskClash compares GLM-5.2 and DeepSeek V4 Pro (Max) side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side GLM-5.2 vs DeepSeek V4 Pro (Max) 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-5.2 model page DeepSeek V4 Pro (Max) model page

Rank #4 vs #13AskClash overall scores 85.6 vs 59.9.

Pricing $1.40/$4.40 vs $1.74/$3.48Input and output token prices per 1M tokens when published.

Open Weight vs Open WeightZ.AI vs DeepSeek.

GLM-5.2 vs DeepSeek V4 Pro (Max) benchmark comparison

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

Metric	GLM-5.2	DeepSeek V4 Pro (Max)
Overall Score	85.6	59.9
Leaderboard Rank	#4	#13
RWT	9.0	8.0
Coding Agent Index	74.4	—
HLE	54.7	37.7
GPQA	91.2	90.1
MATH-500	—	64.5
SWE-bench	—	80.6
SWE-Pro	62.1	55.4
SWE-Atlas	74.4	—
Terminal-Bench	82.7	67.9
LiveCodeBench	—	93.5
MCP Atlas	76.8	73.6
Tau2	99.1	96.2
MRCR	—	83.5
Input Price (per 1M tokens)	$1.40	$1.74
Output Price (per 1M tokens)	$4.40	$3.48
Context Window	1M	1M
Benchmark Cells	9	10

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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.