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DeepSeek V4 Pro vs GLM-5.2

Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

DeepSeek V4 Pro

68

VS

GLM-5.2

94

0 categoriesvs3 categories

Verified leaderboard positions: DeepSeek V4 Pro #31 · GLM-5.2 #9

Pick GLM-5.2 if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.

Category Radar

Head-to-Head by Category

Category Breakdown

Agentic

GLM-5.2
59.1vs81

+21.9 difference

Coding

GLM-5.2
58.8vs62.1

+3.3 difference

Knowledge

GLM-5.2
49.4vs67.2

+17.8 difference

Operational Comparison

DeepSeek V4 Pro

GLM-5.2

Price (per 1M tokens)

$1.74 / $3.48

$1.4 / $4.4

Speed

N/A

N/A

Latency (first answer)

N/A

N/A

Context Window

1M

1M

Quick Verdict

Pick GLM-5.2 if you want the stronger benchmark profile. DeepSeek V4 Pro only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.

GLM-5.2 is clearly ahead on the provisional aggregate, 94 to 68. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GLM-5.2's sharpest advantage is in agentic, where it averages 81 against 59.1. The single biggest benchmark swing on the page is HLE, 7.7% to 54.7%.

GLM-5.2 is also the more expensive model on tokens at $1.40 input / $4.40 output per 1M tokens, versus $1.74 input / $3.48 output per 1M tokens for DeepSeek V4 Pro. GLM-5.2 is the reasoning model in the pair, while DeepSeek V4 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.

Benchmark Deep Dive

Frequently Asked Questions (4)

Which is better, DeepSeek V4 Pro or GLM-5.2?

GLM-5.2 is ahead on BenchLM's provisional leaderboard, 94 to 68. The biggest single separator in this matchup is HLE, where the scores are 7.7% and 54.7%.

Which is better for knowledge tasks, DeepSeek V4 Pro or GLM-5.2?

GLM-5.2 has the edge for knowledge tasks in this comparison, averaging 67.2 versus 49.4. Inside this category, HLE is the benchmark that creates the most daylight between them.

Which is better for coding, DeepSeek V4 Pro or GLM-5.2?

GLM-5.2 has the edge for coding in this comparison, averaging 62.1 versus 58.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, DeepSeek V4 Pro or GLM-5.2?

GLM-5.2 has the edge for agentic tasks in this comparison, averaging 81 versus 59.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

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Last updated: June 16, 2026

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