Qwen3.5-397B-A17B vs Ministral 3 (3B Base 2512) Comparison
Comparing Qwen3.5-397B-A17B and Ministral 3 (3B Base 2512) across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.5-397B-A17B outperforms in 1 benchmarks (MMLU-Redux), while Ministral 3 (3B Base 2512) is better at 0 benchmarks.
Qwen3.5-397B-A17B 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
Qwen3.5-397B-A17B has 394.0B more parameters than Ministral 3 (3B Base 2512), making it 13133.3% larger.
Context Window
Maximum input and output token capacity
Only Qwen3.5-397B-A17B specifies input context (262,144 tokens). Only Qwen3.5-397B-A17B specifies output context (64,000 tokens).
Input Capabilities
Supported data types and modalities
Both Qwen3.5-397B-A17B and Ministral 3 (3B Base 2512) support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen3.5-397B-A17B
Ministral 3 (3B Base 2512)
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
Qwen3.5-397B-A17B was released on 2026-02-16, while Ministral 3 (3B Base 2512) was released on 2025-12-04.
Qwen3.5-397B-A17B is 2 months newer than Ministral 3 (3B Base 2512).
Feb 16, 2026
4 weeks ago
2mo newerDec 4, 2025
3 months ago
Knowledge 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
Qwen3.5-397B-A17B
View detailsAlibaba Cloud / Qwen Team
Ministral 3 (3B Base 2512)
View detailsMistral AI
Detailed Comparison
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