How do Qwen3.8 27B 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 27B and MiniMax-M3 when publicly disclosed.

LLM Comparison

Qwen3.8 27B vs MiniMax-M3: benchmark scores, pricing & comparison.

Q: Which is better: Qwen3.8 27B or MiniMax-M3?

AskClash compares Qwen3.8 27B 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 27B 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 27B model page MiniMax-M3 model page

Rank #17 vs #24AskClash overall scores 57.0 vs 51.7.

Pricing $0.45/$3.20 vs $0.30/$1.20Input and output token prices per 1M tokens when published.

Open Weight vs Open WeightAlibaba vs MiniMax.

Qwen3.8 27B 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 27B	MiniMax-M3
Overall Score	57.0	51.7
Leaderboard Rank	#17	#24
ACB	56.4	29.8
RWT	—	8.5
HLE	30.8	37.1
GPQA	89.2	92.9
IFEval	79.5	82.9
SWE-bench	—	80.5
SWE-Pro	61.7	59.0
Terminal-Bench	73.0	66.0
DeepSWE	42.2	—
OSWorld	84.3	70.1
MCP Atlas	—	74.2
Finance Agent	—	48.3
CharXiv	90.2	—
MMMU-Pro	—	78.1
Tau2	—	88.9
Input Price (per 1M tokens)	$0.45	$0.30
Output Price (per 1M tokens)	$3.20	$1.20
Context Window	262K	1M
Benchmarks Published	9	14

Qwen3.8 27B vs MiniMax-M3 head-to-head charts

Qwen3.8 27B leads 5 and MiniMax-M3 leads 3 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 27BMiniMax-M3

Overall

57.0Qwen3.8 27B

51.7MiniMax-M3

ACB

56.4Qwen3.8 27B

29.8MiniMax-M3

HLE

30.8Qwen3.8 27B

37.1MiniMax-M3

GPQA

89.2Qwen3.8 27B

92.9MiniMax-M3

IFEval

79.5Qwen3.8 27B

82.9MiniMax-M3

SWE-Pro

61.7Qwen3.8 27B

59.0MiniMax-M3

Terminal-Bench

73.0Qwen3.8 27B

66.0MiniMax-M3

OSWorld

84.3Qwen3.8 27B

70.1MiniMax-M3

Qwen3.8 27B

Input$0.45

Output$3.20

Workload$1.09

Context262K

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 27B and MiniMax-M3 comparisons

Explore how Qwen3.8 27B and MiniMax-M3 stack up against other top-ranked LLMs.

Claude Opus 5 vs Qwen3.8 27B Claude Opus 5 vs MiniMax-M3 Claude Fable 5 vs Qwen3.8 27B Claude Fable 5 vs MiniMax-M3 Grok 4.6 vs Qwen3.8 27B Grok 4.6 vs MiniMax-M3 GPT-5.6 Sol vs Qwen3.8 27B GPT-5.6 Sol vs MiniMax-M3 Kimi K3 vs Qwen3.8 27B Kimi K3 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.