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Mistral AI

Codestral 22B

VS
Z.ai (Zhipu AI)

GLM-4.7

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GLM-4.7 is the premium intelligence choice, scoring 0.0% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Codestral 22B is 2.2x 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 GLM-4.7 fully justifies the cost.

Model Specs

Codestral 22B

Benchmarks & Scores

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

Cost & Performance

Cost (per 1M tokens)2.2x cheaper
$0.45Input: $0.30 | Output: $0.90
Context Window
32.77k tokens
Model Specs

GLM-4.7

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)Winner (+)
85.7%

Cost & Performance

Cost (per 1M tokens)
$1.00Input: $0.60 | Output: $2.20
Context WindowLarger
204.8k tokens

Frequently Asked Questions

Codestral 22B is cheaper than GLM-4.7. Codestral 22B has a blended cost of $0.45/1M tokens, which is about 2.2x cheaper than GLM-4.7 at $1.00/1M tokens.

Coding benchmark scores are not currently recorded for these models.

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