Mistral Small 3.1 24B Base vs Qwen3.5-4B Comparison
Comparing Mistral Small 3.1 24B Base and Qwen3.5-4B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Small 3.1 24B Base outperforms in 0 benchmarks, while Qwen3.5-4B is better at 2 benchmarks (GPQA, MMLU-Pro).
Qwen3.5-4B 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
Mistral Small 3.1 24B Base has 20.0B more parameters than Qwen3.5-4B, making it 500.0% larger.
Context Window
Maximum input and output token capacity
Only Mistral Small 3.1 24B Base specifies input context (128,000 tokens). Only Mistral Small 3.1 24B Base specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Both Mistral Small 3.1 24B Base and Qwen3.5-4B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Small 3.1 24B Base
Qwen3.5-4B
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 Base was released on 2025-03-17, while Qwen3.5-4B was released on 2026-03-02.
Qwen3.5-4B is 12 months newer than Mistral Small 3.1 24B Base.
Mar 17, 2025
12 months ago
Mar 2, 2026
1 weeks ago
11mo 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
Mistral Small 3.1 24B Base
View detailsMistral AI
Qwen3.5-4B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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