Skip to main content

GLM-5.2 vs MiniMax M2.7

Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

GLM-5.2

94

VS

MiniMax M2.7

53

2 categoriesvs0 categories

Verified leaderboard positions: GLM-5.2 #9 · MiniMax M2.7 unranked

Pick GLM-5.2 if you want the stronger benchmark profile. MiniMax M2.7 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
81vs57

+24.0 difference

Coding

GLM-5.2
62.1vs53.7

+8.4 difference

Operational Comparison

GLM-5.2

MiniMax M2.7

Price (per 1M tokens)

$1.4 / $4.4

$0.3 / $1.2

Speed

N/A

45 t/s

Latency (first answer)

N/A

2.53s

Context Window

1M

200K

Quick Verdict

Pick GLM-5.2 if you want the stronger benchmark profile. MiniMax M2.7 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 53. 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 57. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 81% to 57%.

GLM-5.2 is also the more expensive model on tokens at $1.40 input / $4.40 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.7. That is roughly 3.7x on output cost alone. GLM-5.2 is the reasoning model in the pair, while MiniMax M2.7 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 MiniMax M2.7.

Benchmark Deep Dive

Frequently Asked Questions (3)

Which is better, GLM-5.2 or MiniMax M2.7?

GLM-5.2 is ahead on BenchLM's provisional leaderboard, 94 to 53. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 81% and 57%.

Which is better for coding, GLM-5.2 or MiniMax M2.7?

GLM-5.2 has the edge for coding in this comparison, averaging 62.1 versus 53.7. Inside this category, NL2Repo is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GLM-5.2 or MiniMax M2.7?

GLM-5.2 has the edge for agentic tasks in this comparison, averaging 81 versus 57. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Related Comparisons

Last updated: June 16, 2026

The AI models change fast. We track them for you.

For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.

Free. No spam. Unsubscribe anytime.