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Claude 4 Sonnet vs GLM-5.2

Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

Claude 4 Sonnet

50

VS

GLM-5.2

94

1 categoriesvs0 categories

Verified leaderboard positions: Claude 4 Sonnet unranked · GLM-5.2 #9

Pick GLM-5.2 if you want the stronger benchmark profile. Claude 4 Sonnet only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.

Category Radar

Head-to-Head by Category

Category Breakdown

Coding

Claude 4 Sonnet
72.7vs62.1

+10.6 difference

Operational Comparison

Claude 4 Sonnet

GLM-5.2

Price (per 1M tokens)

$3 / $15

$1.4 / $4.4

Speed

40 t/s

N/A

Latency (first answer)

1.33s

N/A

Context Window

200K

1M

Quick Verdict

Pick GLM-5.2 if you want the stronger benchmark profile. Claude 4 Sonnet only becomes the better choice if coding is the priority 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 50. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude 4 Sonnet is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $1.40 input / $4.40 output per 1M tokens for GLM-5.2. That is roughly 3.4x on output cost alone. GLM-5.2 is the reasoning model in the pair, while Claude 4 Sonnet 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. GLM-5.2 gives you the larger context window at 1M, compared with 200K for Claude 4 Sonnet.

Benchmark Deep Dive

Frequently Asked Questions (2)

Which is better, Claude 4 Sonnet or GLM-5.2?

GLM-5.2 is ahead on BenchLM's provisional leaderboard, 94 to 50.

Which is better for coding, Claude 4 Sonnet or GLM-5.2?

Claude 4 Sonnet has the edge for coding in this comparison, averaging 72.7 versus 62.1. GLM-5.2 stays close enough that the answer can still flip depending on your workload.

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Last updated: June 16, 2026

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