LLM Comparison

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

Side-by-side MiniMax-M3 vs DeepSeek V4 Pro 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.

Rank #17 vs #53AskClash overall scores 59.4 vs 20.0.
Pricing $0.30/$1.20 vs $1.74/$3.48Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightMiniMax vs DeepSeek.

MiniMax-M3 vs DeepSeek V4 Pro benchmark comparison

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

MetricMiniMax-M3DeepSeek V4 Pro
Overall Score59.420.0
Leaderboard Rank#17#53
RWT8.57.0
HLE37.17.7
GPQA92.972.9
MATH-50064.5
IFEval82.9
SWE-bench80.573.6
SWE-Pro59.052.1
Terminal-Bench66.059.1
OSWorld70.1
MCP Atlas74.269.4
Finance Agent48.344.1
MMMU-Pro78.1
Tau288.9
MRCR44.7
Input Price (per 1M tokens)$0.30$1.74
Output Price (per 1M tokens)$1.20$3.48
Context Window1M1M
Benchmarks Published138

MiniMax-M3 vs DeepSeek V4 Pro head-to-head charts

MiniMax-M3 leads 9 and DeepSeek V4 Pro leads 0 of 9 shared benchmarks. MiniMax-M3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

MiniMax-M3DeepSeek V4 Pro
Overall
59.4MiniMax-M3
20.0DeepSeek V4 Pro
RWT
8.5MiniMax-M3
7.0DeepSeek V4 Pro
HLE
37.1MiniMax-M3
7.7DeepSeek V4 Pro
GPQA
92.9MiniMax-M3
72.9DeepSeek V4 Pro
SWE-bench
80.5MiniMax-M3
73.6DeepSeek V4 Pro
SWE-Pro
59.0MiniMax-M3
52.1DeepSeek V4 Pro
Terminal-Bench
66.0MiniMax-M3
59.1DeepSeek V4 Pro
MCP Atlas
74.2MiniMax-M3
69.4DeepSeek V4 Pro
Finance Agent
48.3MiniMax-M3
44.1DeepSeek V4 Pro
MiniMax-M3
Input$0.30
Output$1.20
Workload$0.54
Context1M
DeepSeek V4 Pro
Input$1.74
Output$3.48
Workload$2.44
Context1M

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

More MiniMax-M3 and DeepSeek V4 Pro comparisons

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

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.