LLM Comparison

DeepSeek V4 Flash 0731 vs MiniMax-M3: benchmark scores, pricing & comparison.

Side-by-side DeepSeek V4 Flash 0731 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.

Rank #16 vs #19AskClash overall scores 56.1 vs 53.1.
Pricing $0.14/$0.28 vs $0.30/$1.20Input and output token prices per 1M tokens when published.
Open Weight vs Open WeightDeepSeek vs MiniMax.

DeepSeek V4 Flash 0731 vs MiniMax-M3 benchmark comparison

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

MetricDeepSeek V4 Flash 0731MiniMax-M3
Overall Score56.153.1
Leaderboard Rank#16#19
RWT8.5
HLE37.037.1
GPQA91.092.9
MATH-50057.4
IFEval82.9
SWE-bench79.080.5
SWE-Pro59.0
Terminal-Bench82.766.0
DeepSWE54.4
OSWorld70.1
MCP Atlas69.074.2
Finance Agent48.3
MMMU-Pro78.1
Tau288.9
MRCR78.7
Input Price (per 1M tokens)$0.14$0.30
Output Price (per 1M tokens)$0.28$1.20
Context Window1M1M
Benchmarks Published914

DeepSeek V4 Flash 0731 vs MiniMax-M3 head-to-head charts

DeepSeek V4 Flash 0731 leads 2 and MiniMax-M3 leads 4 of 6 shared benchmarks. DeepSeek V4 Flash 0731 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

DeepSeek V4 Flash 0731MiniMax-M3
Overall
56.1DeepSeek V4 Flash 0731
53.1MiniMax-M3
HLE
37.0DeepSeek V4 Flash 0731
37.1MiniMax-M3
GPQA
91.0DeepSeek V4 Flash 0731
92.9MiniMax-M3
SWE-bench
79.0DeepSeek V4 Flash 0731
80.5MiniMax-M3
Terminal-Bench
82.7DeepSeek V4 Flash 0731
66.0MiniMax-M3
MCP Atlas
69.0DeepSeek V4 Flash 0731
74.2MiniMax-M3
DeepSeek V4 Flash 0731
Input$0.14
Output$0.28
Workload$0.20
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 DeepSeek V4 Flash 0731 and MiniMax-M3 comparisons

Explore how DeepSeek V4 Flash 0731 and MiniMax-M3 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.