LLM Comparison

Qwen3.7 Max vs MiniMax-M3: benchmark scores, pricing & comparison.

Side-by-side Qwen3.7 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.

Rank #12 vs #17AskClash overall scores 70.7 vs 59.4.
Pricing $2.50/$7.50 vs $0.30/$1.20Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightAlibaba vs MiniMax.

Qwen3.7 Max vs MiniMax-M3 benchmark comparison

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

MetricQwen3.7 MaxMiniMax-M3
Overall Score70.759.4
Leaderboard Rank#12#17
RWT7.58.5
HLE41.437.1
GPQA92.492.9
IFEval94.382.9
SWE-bench80.480.5
SWE-Pro59.0
Terminal-Bench69.766.0
OSWorld70.1
MCP Atlas76.474.2
Finance Agent48.448.3
MMMU-Pro78.1
Tau294.788.9
MRCR90.4
Input Price (per 1M tokens)$2.50$0.30
Output Price (per 1M tokens)$7.50$1.20
Context Window1M1M
Benchmarks Published1113

Qwen3.7 Max vs MiniMax-M3 head-to-head charts

Qwen3.7 Max 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.

Qwen3.7 MaxMiniMax-M3
Overall
70.7Qwen3.7 Max
59.4MiniMax-M3
RWT
7.5Qwen3.7 Max
8.5MiniMax-M3
HLE
41.4Qwen3.7 Max
37.1MiniMax-M3
GPQA
92.4Qwen3.7 Max
92.9MiniMax-M3
IFEval
94.3Qwen3.7 Max
82.9MiniMax-M3
SWE-bench
80.4Qwen3.7 Max
80.5MiniMax-M3
Terminal-Bench
69.7Qwen3.7 Max
66.0MiniMax-M3
MCP Atlas
76.4Qwen3.7 Max
74.2MiniMax-M3
Finance Agent
48.4Qwen3.7 Max
48.3MiniMax-M3
Tau2
94.7Qwen3.7 Max
88.9MiniMax-M3
Qwen3.7 Max
Input$2.50
Output$7.50
Workload$4.00
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 Qwen3.7 Max and MiniMax-M3 comparisons

Explore how Qwen3.7 Max 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.