Model Comparison
GLM-5 vs Min istral 3 (3B Reasoning 2512)Which is better in 2026?
Comparing GLM-5 and Min istral 3 (3B Reasoning 2512) across benchmarks, pricing, and capabilities.
Verdict: GLM-5 vs Min istral 3 (3B Reasoning 2512) — which is better?
GLM-5 (by Zhipu AI) and Min istral 3 (3B Reasoning 2512) (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
On price, Min istral 3 (3B Reasoning 2512) is roughly 15.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GLM-5 if…
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Feb 2026
Choose Min istral 3 (3B Reasoning 2512) if…
- cost matters — it's about 15.5x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5 and Min istral 3 (3B Reasoning 2512)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5 ($1.00/1M tokens) is 10.0x more expensive than Min istral 3 (3B Reasoning 2512) ($0.10/1M tokens).
For output processing, GLM-5 ($3.20/1M tokens) is 32.0x more expensive than Min istral 3 (3B Reasoning 2512) ($0.10/1M tokens).
In conclusion, GLM-5 is more expensive than Min istral 3 (3B Reasoning 2512).*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5 has 741.0B more parameters than Min istral 3 (3B Reasoning 2512), making it 24700.0% larger.
Context Window
Maximum input and output token capacity
GLM-5 accepts 200,000 input tokens compared to Min istral 3 (3B Reasoning 2512)'s 131,100 tokens. Min istral 3 (3B Reasoning 2512) can generate longer responses up to 131,100 tokens, while GLM-5 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Min istral 3 (3B Reasoning 2512) supports multimodal inputs, whereas GLM-5 does not.
Min istral 3 (3B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5
Min istral 3 (3B Reasoning 2512)
License
Usage and distribution terms
GLM-5 is licensed under MIT, while Min istral 3 (3B Reasoning 2512) uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
GLM-5 was released on 2026-02-11, while Min istral 3 (3B Reasoning 2512) was released on 2025-12-04.
GLM-5 is 2 months newer than Min istral 3 (3B Reasoning 2512).
Feb 11, 2026
4 months ago
2mo newerDec 4, 2025
6 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5 is available from FriendliAI, ZAI. Min istral 3 (3B Reasoning 2512) is available from Mistral AI.
GLM-5
Min istral 3 (3B Reasoning 2512)
Outputs Comparison
Key Takeaways
GLM-5
View detailsZhipu AI
Detailed Comparison
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FAQ
Common questions about GLM-5 vs Min istral 3 (3B Reasoning 2512).