MiniStral 3 (14B Instruct 2512) vs Qwen3.5-397B-A17B Comparison
Comparing MiniStral 3 (14B Instruct 2512) and Qwen3.5-397B-A17B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
MiniStral 3 (14B Instruct 2512) and Qwen3.5-397B-A17B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
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 383.0B more parameters than MiniStral 3 (14B Instruct 2512), making it 2735.7% 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 MiniStral 3 (14B Instruct 2512) and Qwen3.5-397B-A17B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiniStral 3 (14B Instruct 2512)
Qwen3.5-397B-A17B
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
MiniStral 3 (14B Instruct 2512) was released on 2025-12-04, while Qwen3.5-397B-A17B was released on 2026-02-16.
Qwen3.5-397B-A17B is 2 months newer than MiniStral 3 (14B Instruct 2512).
Dec 4, 2025
3 months ago
Feb 16, 2026
3 weeks ago
2mo 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
Qwen3.5-397B-A17B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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