GLM-5.3 vs Mistral Small 3.1 24B Base
Comparing GLM-5.3 and Mistral Small 3.1 24B Base across benchmarks, pricing, and capabilities.
Zhipu AI · Mistral AI · Updated for 2026
Which is better?
GLM-5.3 and Mistral Small 3.1 24B Base trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Mistral Small 3.1 24B Base is roughly 14.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.3 also accepts a larger context window (1,000,000 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
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Mistral Small 3.1 24B Base
- cost matters — it's about 14.3x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.3 and Mistral Small 3.1 24B Basedon'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 ($1.40/1M tokens) is 14.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).
For output processing, GLM-5.3 ($4.40/1M tokens) is 14.7x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).
In conclusion, GLM-5.3 is more expensive than Mistral Small 3.1 24B Base.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5.3 has 729.0B more parameters than Mistral Small 3.1 24B Base, making it 3037.5% larger.
Context Window
Maximum input and output token capacity
GLM-5.3 accepts 1,000,000 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Mistral Small 3.1 24B Base supports multimodal inputs, whereas GLM-5.3 does not.
Mistral Small 3.1 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3
Mistral Small 3.1 24B Base
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while Mistral Small 3.1 24B Base was released on 2025-03-17.
GLM-5.3 is 17 months newer than Mistral Small 3.1 24B Base.
Aug 14, 2026
1 weeks ago
1.4yr newerMar 17, 2025
1.4 years 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-5.3 is available from ZAI. Mistral Small 3.1 24B Base is available from Mistral AI.
GLM-5.3
Mistral Small 3.1 24B Base
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3 and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs Mistral Small 3.1 24B Base.