How do Qwen3.8 Max 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 and MiniMax-M3 when publicly disclosed.

LLM Comparison

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

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

AskClash compares Qwen3.8 Max and MiniMax-M3 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side Qwen3.8 Max 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 model page MiniMax-M3 model page

Rank #13 vs #20AskClash overall scores 64.0 vs 52.6.

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 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	MiniMax-M3
Overall Score	64.0	52.6
Leaderboard Rank	#13	#20
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
Terminal-Bench	86.6	66.0
DeepSWE	56.6	—
OSWorld	86.1	70.1
MCP Atlas	—	74.2
Finance Agent	—	48.3
CharXiv	88.4	—
MMMU-Pro	82.3	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	10	14

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

Qwen3.8 Max leads 6 and MiniMax-M3 leads 2 of 8 shared benchmarks. MiniMax-M3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 MaxMiniMax-M3

Overall

64.0Qwen3.8 Max

52.6MiniMax-M3

HLE

43.6Qwen3.8 Max

37.1MiniMax-M3

GPQA

92.6Qwen3.8 Max

92.9MiniMax-M3

IFEval

82.8Qwen3.8 Max

82.9MiniMax-M3

SWE-Pro

67.7Qwen3.8 Max

59.0MiniMax-M3

Terminal-Bench

86.6Qwen3.8 Max

66.0MiniMax-M3

OSWorld

86.1Qwen3.8 Max

70.1MiniMax-M3

MMMU-Pro

82.3Qwen3.8 Max

78.1MiniMax-M3

Qwen3.8 Max

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 and MiniMax-M3 comparisons

Explore how Qwen3.8 Max and MiniMax-M3 stack up against other top-ranked LLMs.

Claude Opus 5 vs Qwen3.8 Max Claude Opus 5 vs MiniMax-M3 Claude Fable 5 vs Qwen3.8 Max Claude Fable 5 vs MiniMax-M3 GPT-5.6 Sol vs Qwen3.8 Max GPT-5.6 Sol vs MiniMax-M3 Kimi K3 vs Qwen3.8 Max Kimi K3 vs MiniMax-M3 Claude Opus 4.8 vs Qwen3.8 Max Claude Opus 4.8 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.