GLM-5.3-Flash vs Mistral Small 3 24B Instruct
Comparing GLM-5.3-Flash and Mistral Small 3 24B Instruct across benchmarks, pricing, and capabilities.
Zhipu AI · Mistral AI · Updated for 2026
Which is better?
GLM-5.3-Flash and Mistral Small 3 24B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Mistral Small 3 24B Instruct is roughly 2.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.3-Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GLM-5.3-Flash
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Mistral Small 3 24B Instruct
- cost matters — it's about 2.7x cheaper per token
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.3-Flash and Mistral Small 3 24B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.3-Flash ($0.15/1M tokens) is 2.1x more expensive than Mistral Small 3 24B Instruct ($0.07/1M tokens).
For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 3.6x more expensive than Mistral Small 3 24B Instruct ($0.14/1M tokens).
In conclusion, GLM-5.3-Flash is more expensive than Mistral Small 3 24B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5.3-Flash has 296.0B more parameters than Mistral Small 3 24B Instruct, making it 1233.3% larger.
Context Window
Maximum input and output token capacity
GLM-5.3-Flash accepts 1,048,576 input tokens compared to Mistral Small 3 24B Instruct's 32,000 tokens. GLM-5.3-Flash can generate longer responses up to 131,072 tokens, while Mistral Small 3 24B Instruct is limited to 32,000 tokens.
Input Capabilities
Supported data types and modalities
GLM-5.3-Flash supports multimodal inputs, whereas Mistral Small 3 24B Instruct does not.
GLM-5.3-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3-Flash
Mistral Small 3 24B Instruct
License
Usage and distribution terms
GLM-5.3-Flash is licensed under MIT, while Mistral Small 3 24B Instruct 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-5.3-Flash was released on 2026-08-26, while Mistral Small 3 24B Instruct was released on 2025-01-30.
GLM-5.3-Flash is 19 months newer than Mistral Small 3 24B Instruct.
Aug 26, 2026
0 days ago
1.6yr newerJan 30, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
Mistral Small 3 24B Instruct has a documented knowledge cutoff of 2023-10-01, while GLM-5.3-Flash's cutoff date is not specified.
We can confirm Mistral Small 3 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without GLM-5.3-Flash's cutoff date.
—
Oct 2023
Provider Availability
GLM-5.3-Flash is available from DeepInfra, Novita, ZAI. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.
GLM-5.3-Flash
Mistral Small 3 24B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3-Flash and Mistral Small 3 24B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3-Flash vs Mistral Small 3 24B Instruct.