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Alibaba Cloud (Qwen)

Qwen3.7-Max

VS
Mistral AI

Codestral 22B

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Qwen3.7-Max is the premium intelligence choice, scoring 60.6% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Codestral 22B is 8.3x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Codestral 22B offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Qwen3.7-Max fully justifies the cost.

Model Specs

Qwen3.7-Max

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
60.6%
Reasoning (gpqa-diamond)Winner (+)
92.4%

Cost & Performance

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

Codestral 22B

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
N/A

Cost & Performance

Cost (per 1M tokens)8.3x cheaper
$0.45Input: $0.30 | Output: $0.90
Context Window
32.77k tokens

Frequently Asked Questions

Codestral 22B is cheaper than Qwen3.7-Max. Codestral 22B has a blended cost of $0.45/1M tokens, which is about 8.3x cheaper than Qwen3.7-Max at $3.75/1M tokens.

Qwen3.7-Max is better for coding tasks. It scores 60.6% on coding evaluations (swe-bench-pro) compared to Codestral 22B which scores N/A.

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