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DeepSeek V4 Pro vs GLM-5

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

DeepSeek V4 Pro

71

VS

GLM-5

67

1 categoriesvs2 categories

Verified leaderboard positions: DeepSeek V4 Pro #22 · GLM-5 #17

Pick DeepSeek V4 Pro if you want the stronger benchmark profile. GLM-5 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.

Category Radar

Head-to-Head by Category

Category Breakdown

Agentic

DeepSeek V4 Pro
59.1vs56.2

+2.9 difference

Coding

GLM-5
58.8vs63.2

+4.4 difference

Knowledge

GLM-5
49.4vs70.7

+21.3 difference

Operational Comparison

DeepSeek V4 Pro

GLM-5

Price (per 1M tokens)

$1.74 / $3.48

$1 / $3.2

Speed

N/A

74 t/s

Latency (TTFT)

N/A

1.64s

Context Window

1M

200K

Quick Verdict

Pick DeepSeek V4 Pro if you want the stronger benchmark profile. GLM-5 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.

DeepSeek V4 Pro is clearly ahead on the provisional aggregate, 71 to 67. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

DeepSeek V4 Pro's sharpest advantage is in agentic, where it averages 59.1 against 56.2. The single biggest benchmark swing on the page is HLE, 7.7% to 50.4%. GLM-5 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

DeepSeek V4 Pro is also the more expensive model on tokens at $1.74 input / $3.48 output per 1M tokens, versus $1.00 input / $3.20 output per 1M tokens for GLM-5. DeepSeek V4 Pro gives you the larger context window at 1M, compared with 200K for GLM-5.

Benchmark Deep Dive

Frequently Asked Questions (4)

Which is better, DeepSeek V4 Pro or GLM-5?

DeepSeek V4 Pro is ahead on BenchLM's provisional leaderboard, 71 to 67. The biggest single separator in this matchup is HLE, where the scores are 7.7% and 50.4%.

Which is better for knowledge tasks, DeepSeek V4 Pro or GLM-5?

GLM-5 has the edge for knowledge tasks in this comparison, averaging 70.7 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?

GLM-5 has the edge for coding in this comparison, averaging 63.2 versus 58.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, DeepSeek V4 Pro or GLM-5?

DeepSeek V4 Pro has the edge for agentic tasks in this comparison, averaging 59.1 versus 56.2. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.

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Last updated: April 24, 2026

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