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Alibaba Cloud (Qwen)

Qwen3.7-Max

VS
Mistral AI

odestral 22B v0.1

✍️ 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: odestral 22B v0.1 is 1.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, odestral 22B v0.1 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
Speed
205 tps
Context WindowLarger
1M tokens
Model Specs

odestral 22B v0.1

Benchmarks & Scores

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

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed
200 tps
Context Window
32.77k tokens
Read our data collection methodology

Frequently Asked Questions

Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.

Qwen3.7-Max is faster than odestral 22B v0.1. Qwen3.7-Max generates 205 tokens per second (tps) compared to odestral 22B v0.1 which generates 200 tokens per second.

Qwen3.7-Max is better for coding tasks. It scores 60.6% on coding evaluations (swe-bench-pro) compared to odestral 22B v0.1 which scores N/A.

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