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Alibaba Cloud (Qwen)

Qwen3.6-35B-A3B

VS
Mistral AI

Codestral 22B

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

Decision Recommendation

👑 Editorial Verdict: Qwen3.6-35B-A3B strictly dominates Codestral 22B across all compared dimensions. It is not only more cost-effective (blended cost of $0.00 vs $0.45 per 1M tokens) but also delivers superior coding accuracy (49.5% vs 0% on SWE-bench). Unless you have platform lock-in, Qwen3.6-35B-A3B is the clear and optimal choice for all development workloads.

Model Specs

Qwen3.6-35B-A3B

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
49.5%
Reasoning (gpqa-diamond)Winner (+)
86%

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
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)
$0.45Input: $0.30 | Output: $0.90
Context Window
32.77k tokens

Frequently Asked Questions

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

Qwen3.6-35B-A3B is better for coding tasks. It scores 49.5% on coding evaluations (swe-bench-pro) compared to Codestral 22B which scores N/A.

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