How do Qwen3.8 Max 0902 and MiniMax-M3 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Qwen3.8 Max 0902 and MiniMax-M3 when publicly disclosed.

LLM Comparison

Qwen3.8 Max 0902 vs MiniMax-M3: benchmark scores, pricing & comparison.

Q: Which is better: Qwen3.8 Max 0902 or MiniMax-M3?

AskClash compares Qwen3.8 Max 0902 and MiniMax-M3 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 Qwen3.8 Max 0902 vs MiniMax-M3 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 Qwen3.8 Max 0902 model page MiniMax-M3 model page

Rank #9 vs #31AskClash overall scores 70.0 vs 42.9.

Pricing $2.00/$6.00 vs $0.30/$1.20Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightAlibaba vs MiniMax.

Qwen3.8 Max 0902 vs MiniMax-M3 benchmark comparison

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

Metric	Qwen3.8 Max 0902	MiniMax-M3
Overall Score	70.0	42.9
Leaderboard Rank	#9	#31
ACB	59.0	29.8
RWT	—	8.5
HLE	43.6	37.1
GPQA	92.6	92.9
IFEval	82.8	82.9
SWE-bench	—	80.5
SWE-Pro	67.7	59.0
SWE-Atlas	66.3	—
Terminal-Bench	86.6	66.0
DeepSWE	69.3	—
GDPval-AA	—	58.4
OSWorld	86.1	70.1
MCP Atlas	—	74.2
Finance Agent	—	48.3
CharXiv	88.4	—
MMMU-Pro	82.7	78.1
Tau2	—	88.9
MRCR	92.9	—
Input Price (per 1M tokens)	$2.00	$0.30
Output Price (per 1M tokens)	$6.00	$1.20
Context Window	1M	1M
Benchmarks Published	12	14

Qwen3.8 Max 0902 vs MiniMax-M3 head-to-head charts

Qwen3.8 Max 0902 leads 7 and MiniMax-M3 leads 2 of 9 shared benchmarks. MiniMax-M3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 Max 0902MiniMax-M3

Overall

70.0Qwen3.8 Max 0902

42.9MiniMax-M3

ACB

59.0Qwen3.8 Max 0902

29.8MiniMax-M3

HLE

43.6Qwen3.8 Max 0902

37.1MiniMax-M3

GPQA

92.6Qwen3.8 Max 0902

92.9MiniMax-M3

IFEval

82.8Qwen3.8 Max 0902

82.9MiniMax-M3

SWE-Pro

67.7Qwen3.8 Max 0902

59.0MiniMax-M3

Terminal-Bench

86.6Qwen3.8 Max 0902

66.0MiniMax-M3

OSWorld

86.1Qwen3.8 Max 0902

70.1MiniMax-M3

MMMU-Pro

82.7Qwen3.8 Max 0902

78.1MiniMax-M3

Qwen3.8 Max 0902

Input$2.00

Output$6.00

Workload$3.20

Context1M

MiniMax-M3

Input$0.30

Output$1.20

Workload$0.54

Context1M

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

More Qwen3.8 Max 0902 and MiniMax-M3 comparisons

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Claude Fable 5.1 vs Qwen3.8 Max 0902 Claude Fable 5.1 vs MiniMax-M3 Claude Opus 5 vs Qwen3.8 Max 0902 Claude Opus 5 vs MiniMax-M3 Claude Fable 5 vs Qwen3.8 Max 0902 Claude Fable 5 vs MiniMax-M3 GLM-5.3 vs Qwen3.8 Max 0902 GLM-5.3 vs MiniMax-M3 Grok 4.6 vs Qwen3.8 Max 0902 Grok 4.6 vs MiniMax-M3

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.