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Mistral AI

Ministral 3 3B (Instruct)

VS
Z.ai (Zhipu AI)

GLM-5.2

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GLM-5.2 is the premium intelligence choice, scoring 62.1% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Ministral 3 3B (Instruct) is 21.5x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Ministral 3 3B (Instruct) offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GLM-5.2 fully justifies the cost.

Model Specs

Ministral 3 3B (Instruct)

Benchmarks & Scores

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

Cost & Performance

Cost (per 1M tokens)21.5x cheaper
$0.10Input: $0.10 | Output: $0.10
Context Window
262.14k tokens
Model Specs

GLM-5.2

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
62.1%
Reasoning (gpqa-diamond)Winner (+)
91.2%

Cost & Performance

Cost (per 1M tokens)
$2.15Input: $1.40 | Output: $4.40
Context WindowLarger
1.05M tokens

Frequently Asked Questions

Ministral 3 3B (Instruct) is cheaper than GLM-5.2. Ministral 3 3B (Instruct) has a blended cost of $0.10/1M tokens, which is about 21.5x cheaper than GLM-5.2 at $2.15/1M tokens.

GLM-5.2 is better for coding tasks. It scores 62.1% on coding evaluations (swe-bench-pro) compared to Ministral 3 3B (Instruct) which scores N/A.

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