whichLlmmodel
Back to Dashboard

Alibaba Cloud (Qwen)Qwen3.7-MaxVSMistral AIMinistral 3 14B

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

Standardized reasoning and coding benchmarks are currently pending verification for one or both of these models. We recommend testing Qwen3.7-Max and Ministral 3 14B directly in their respective provider playgrounds to see which fits your specific prompt styles best.
Was this recommendation helpful?
Model Specs

Qwen3.7-Max

Benchmarks & Scores

Coding (swe-bench-pro)
60.6%

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)
92.4%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)
$3.75Input: $2.50 | Output: $7.50
Context WindowLarger
1.05M tokens
Model Specs

Ministral 3 14B

Open SourceAPI Available

Benchmarks & Scores

Coding (swe-bench-pro)
N/A

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)
N/A

graduate-level science QA

Cost & Context

Cost (per 1M tokens)18.8x cheaper
$0.20Input: $0.20 | Output: $0.20
Context Window
262.14k tokens

Frequently Asked Questions about Qwen3.7-Max vs Ministral 3 14B

Ministral 3 14B is cheaper than Qwen3.7-Max. Ministral 3 14B has a blended cost of $0.20/1M tokens, which is about 18.8x cheaper than Qwen3.7-Max at $3.75/1M tokens.

Do you want to find a model for your constraints?

Use our interactive model finder to filter LLMs by reasoning capability, coding performance, cost, and context length.

Open Model Finder