How do MiniMax-M3 and GLM-5.2 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both MiniMax-M3 and GLM-5.2 when publicly disclosed.

LLM Comparison

MiniMax-M3 vs GLM-5.2: benchmark scores, pricing & comparison.

Q: Which is better: MiniMax-M3 or GLM-5.2?

AskClash compares MiniMax-M3 and GLM-5.2 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

Side-by-side MiniMax-M3 vs GLM-5.2 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 MiniMax-M3 model page GLM-5.2 model page

Rank #28 vs #31AskClash overall scores 38.1 vs 33.1.

Pricing $0.30/$1.20 vs $1.40/$4.40Input and output token prices per 1M tokens when published.

Open Weight vs Open WeightMiniMax vs Z.AI.

MiniMax-M3 vs GLM-5.2 benchmark comparison

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

Metric	MiniMax-M3	GLM-5.2
Overall Score	38.1	33.1
Leaderboard Rank	#28	#31
ACB	29.8	—
RWT	8.5	8.5
Coding Agent Index	—	74.4
HLE	37.1	54.7
GPQA	92.9	91.2
IFEval	82.9	73.3
SWE-bench	80.5	—
SWE-Pro	59.0	62.1
SWE-Atlas	—	74.4
Terminal-Bench	66.0	82.7
DeepSWE	—	43.8
GDPval-AA	58.4	—
OSWorld	70.1	—
MCP Atlas	74.2	76.8
Finance Agent	48.3	49.7
MMMU-Pro	78.1	—
Tau2	88.9	99.1
Input Price (per 1M tokens)	$0.30	$1.40
Output Price (per 1M tokens)	$1.20	$4.40
Context Window	1M	1M
Benchmarks Published	14	12

MiniMax-M3 vs GLM-5.2 head-to-head charts

MiniMax-M3 leads 3 and GLM-5.2 leads 6 of 10 shared benchmarks. MiniMax-M3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

MiniMax-M3GLM-5.2

Overall

38.1MiniMax-M3

33.1GLM-5.2

RWT

8.5MiniMax-M3

8.5GLM-5.2

HLE

37.1MiniMax-M3

54.7GLM-5.2

GPQA

92.9MiniMax-M3

91.2GLM-5.2

IFEval

82.9MiniMax-M3

73.3GLM-5.2

SWE-Pro

59.0MiniMax-M3

62.1GLM-5.2

Terminal-Bench

66.0MiniMax-M3

82.7GLM-5.2

MCP Atlas

74.2MiniMax-M3

76.8GLM-5.2

Finance Agent

48.3MiniMax-M3

49.7GLM-5.2

Tau2

88.9MiniMax-M3

99.1GLM-5.2

MiniMax-M3

Input$0.30

Output$1.20

Workload$0.54

Context1M

GLM-5.2

Input$1.40

Output$4.40

Workload$2.28

Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More MiniMax-M3 and GLM-5.2 comparisons

Explore how MiniMax-M3 and GLM-5.2 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs MiniMax-M3 Claude Fable 5.1 vs GLM-5.2 Claude Fable 5 vs MiniMax-M3 Claude Fable 5 vs GLM-5.2 GPT-5.6 Sol vs MiniMax-M3 GPT-5.6 Sol vs GLM-5.2 Claude Opus 5 vs MiniMax-M3 Claude Opus 5 vs GLM-5.2 Grok 4.6 vs MiniMax-M3 Grok 4.6 vs GLM-5.2

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.