How do DeepSeek V4 Pro (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 DeepSeek V4 Pro (Max) and MiniMax-M3 when publicly disclosed.

LLM Comparison

DeepSeek V4 Pro (Max) vs MiniMax-M3: benchmark scores, pricing & comparison.

Q: Which is better: DeepSeek V4 Pro (Max) or MiniMax-M3?

AskClash compares DeepSeek V4 Pro (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 DeepSeek V4 Pro (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 DeepSeek V4 Pro (Max) model page MiniMax-M3 model page

Rank #25 vs #31AskClash overall scores 51.9 vs 47.6.

Pricing $0.43/$0.87 vs $0.30/$1.20Input and output token prices per 1M tokens when published.

Open Weight vs Open WeightDeepSeek vs MiniMax.

DeepSeek V4 Pro (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	DeepSeek V4 Pro (Max)	MiniMax-M3
Overall Score	51.9	47.6
Leaderboard Rank	#25	#31
RWT	7.0	8.5
HLE	37.7	37.1
GPQA	90.1	92.9
MATH-500	64.5	—
IFEval	—	82.9
SWE-bench	80.6	80.5
SWE-Pro	55.4	59.0
Terminal-Bench	67.9	66.0
OSWorld	—	70.1
MCP Atlas	73.6	74.2
Finance Agent	—	48.3
MMMU-Pro	—	78.1
Tau2	96.2	88.9
MRCR	83.5	—
Input Price (per 1M tokens)	$0.43	$0.30
Output Price (per 1M tokens)	$0.87	$1.20
Context Window	1M	1M
Benchmarks Published	9	14

DeepSeek V4 Pro (Max) vs MiniMax-M3 head-to-head charts

DeepSeek V4 Pro (Max) leads 5 and MiniMax-M3 leads 4 of 9 shared benchmarks. MiniMax-M3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

DeepSeek V4 Pro (Max)MiniMax-M3

Overall

51.9DeepSeek V4 Pro (Max)

47.6MiniMax-M3

RWT

7.0DeepSeek V4 Pro (Max)

8.5MiniMax-M3

HLE

37.7DeepSeek V4 Pro (Max)

37.1MiniMax-M3

GPQA

90.1DeepSeek V4 Pro (Max)

92.9MiniMax-M3

SWE-bench

80.6DeepSeek V4 Pro (Max)

80.5MiniMax-M3

SWE-Pro

55.4DeepSeek V4 Pro (Max)

59.0MiniMax-M3

Terminal-Bench

67.9DeepSeek V4 Pro (Max)

66.0MiniMax-M3

MCP Atlas

73.6DeepSeek V4 Pro (Max)

74.2MiniMax-M3

Tau2

96.2DeepSeek V4 Pro (Max)

88.9MiniMax-M3

DeepSeek V4 Pro (Max)

Input$0.43

Output$0.87

Workload$0.61

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 DeepSeek V4 Pro (Max) and MiniMax-M3 comparisons

Explore how DeepSeek V4 Pro (Max) and MiniMax-M3 stack up against other top-ranked LLMs.

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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.