How do Gemini 3.1 Pro 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 Gemini 3.1 Pro and MiniMax-M3 when publicly disclosed.

LLM Comparison

Gemini 3.1 Pro vs MiniMax-M3: benchmark scores, pricing & comparison.

Q: Which is better: Gemini 3.1 Pro or MiniMax-M3?

AskClash compares Gemini 3.1 Pro 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 Gemini 3.1 Pro 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 Gemini 3.1 Pro model page MiniMax-M3 model page

Rank #24 vs #31AskClash overall scores 52.3 vs 47.6.

Pricing $2.00/$12.0 vs $0.30/$1.20Input and output token prices per 1M tokens when published.

Proprietary vs Open WeightGoogle vs MiniMax.

Gemini 3.1 Pro vs MiniMax-M3 benchmark comparison

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

Metric	Gemini 3.1 Pro	MiniMax-M3
Overall Score	52.3	47.6
Leaderboard Rank	#24	#31
RWT	—	8.5
Coding Agent Index	30.3	—
HLE	51.4	37.1
GPQA	94.3	92.9
IFEval	—	82.9
SWE-bench	80.6	80.5
SWE-Pro	54.2	59.0
Terminal-Bench	68.5	66.0
DeepSWE	11.8	—
OSWorld	—	70.1
MCP Atlas	69.2	74.2
Finance Agent	43.0	48.3
CharXiv	80.2	—
MMMU-Pro	83.9	78.1
ARC-AGI 2	77.1	—
Tau2	99.3	88.9
MRCR	84.9	—
Input Price (per 1M tokens)	$2.00	$0.30
Output Price (per 1M tokens)	$12.0	$1.20
Context Window	1M	1M
Benchmarks Published	16	14

Gemini 3.1 Pro vs MiniMax-M3 head-to-head charts

Gemini 3.1 Pro leads 7 and MiniMax-M3 leads 3 of 10 shared benchmarks. MiniMax-M3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.1 ProMiniMax-M3

Overall

52.3Gemini 3.1 Pro

47.6MiniMax-M3

HLE

51.4Gemini 3.1 Pro

37.1MiniMax-M3

GPQA

94.3Gemini 3.1 Pro

92.9MiniMax-M3

SWE-bench

80.6Gemini 3.1 Pro

80.5MiniMax-M3

SWE-Pro

54.2Gemini 3.1 Pro

59.0MiniMax-M3

Terminal-Bench

68.5Gemini 3.1 Pro

66.0MiniMax-M3

MCP Atlas

69.2Gemini 3.1 Pro

74.2MiniMax-M3

Finance Agent

43.0Gemini 3.1 Pro

48.3MiniMax-M3

MMMU-Pro

83.9Gemini 3.1 Pro

78.1MiniMax-M3

Tau2

99.3Gemini 3.1 Pro

88.9MiniMax-M3

Gemini 3.1 Pro

Input$2.00

Output$12.0

Workload$4.40

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 Gemini 3.1 Pro and MiniMax-M3 comparisons

Explore how Gemini 3.1 Pro and MiniMax-M3 stack up against other top-ranked LLMs.

Claude Opus 5 vs Gemini 3.1 Pro Claude Opus 5 vs MiniMax-M3 Claude Fable 5 vs Gemini 3.1 Pro Claude Fable 5 vs MiniMax-M3 GPT-5.6 Sol vs Gemini 3.1 Pro GPT-5.6 Sol vs MiniMax-M3 Claude Opus 4.8 vs Gemini 3.1 Pro Claude Opus 4.8 vs MiniMax-M3 Claude Opus 4.7 vs Gemini 3.1 Pro Claude Opus 4.7 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.