Model Comparison
Mistral Small 3.1 24B Instruct vs Qwen3 30B A3B
Qwen3 30B A3B significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Small 3.1 24B Instruct outperforms in 0 benchmarks, while Qwen3 30B A3B is better at 1 benchmark (GPQA).
Qwen3 30B A3B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Qwen3 30B A3B has 6.5B more parameters than Mistral Small 3.1 24B Instruct, making it 27.1% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 30B A3B specifies input context (128,000 tokens). Only Qwen3 30B A3B specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Mistral Small 3.1 24B Instruct supports multimodal inputs, whereas Qwen3 30B A3B does not.
Mistral Small 3.1 24B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral Small 3.1 24B Instruct
Qwen3 30B A3B
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Mistral Small 3.1 24B Instruct was released on 2025-03-17, while Qwen3 30B A3B was released on 2025-04-29.
Qwen3 30B A3B is 1 month newer than Mistral Small 3.1 24B Instruct.
Mar 17, 2025
1.1 years ago
Apr 29, 2025
11 months ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
Qwen3 30B A3B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Mistral Small 3.1 24B Instruct vs Qwen3 30B A3B