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qwen3.7-max vs minimax-m3

Side-by-side comparison of qwen3.7-max and minimax-m3: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. qwen3.7-max outperforms minimax-m3 on 6 of 7 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
qwen3.7-max36.6%
minimax-m335.7%
Coding Indexcoding
qwen3.7-max66.0%
minimax-m358.6%
GPQA Diamondreasoning
qwen3.7-max92.3%
minimax-m392.9%
Terminal-Bench Hardagentic
qwen3.7-max50.8%
minimax-m342.4%
τ²-Benchagentic
qwen3.7-max94.7%
minimax-m388.9%
SciCodecoding
qwen3.7-max49.5%
minimax-m347.1%
Humanity's Last Examreasoning
qwen3.7-max40.5%
minimax-m339.0%

Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.

Pricing & specifications

qwen3.7-maxminimax-m3
Input price / 1M$2.50$0.60$0.30
Output price / 1M$7.50$2.40$1.20
Context window1.0M tokens1M tokens
Max output131K tokens128K tokens
Vision inputN/AYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderAlibaba CloudMiniMax

Questions people ask

Is qwen3.7-max better than minimax-m3?
qwen3.7-max outperforms minimax-m3 on 6 of 7 shared benchmarks. See the benchmark comparison above for specifics: qwen3.7-max and minimax-m3 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, qwen3.7-max or minimax-m3?
minimax-m3 is cheaper. qwen3.7-max costs $2.50/$7.50 per 1M input/output tokens, while minimax-m3 costs $0.30/$1.20. The prices shown are what you pay: minimax-m3 runs at 50% off its list rate of $0.60 per 1M input and $2.40 per 1M output.
Can I use qwen3.7-max and minimax-m3 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "alibaba/qwen3.7-max" and "minimaxi/minimax-m3", no other code changes needed.
What are the context windows?
qwen3.7-max supports up to 1.0M tokens of context. minimax-m3 supports up to 1M tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.

Switch between qwen3.7-max and minimax-m3 with one line of code

Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.