Pixtral-12B vs Qwen3.5-9B Comparison
Comparing Pixtral-12B and Qwen3.5-9B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Pixtral-12B outperforms in 0 benchmarks, while Qwen3.5-9B is better at 1 benchmark (IFEval).
Qwen3.5-9B 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
Pixtral-12B has 3.4B more parameters than Qwen3.5-9B, making it 37.8% larger.
Context Window
Maximum input and output token capacity
Only Pixtral-12B specifies input context (128,000 tokens). Only Pixtral-12B specifies output context (8,192 tokens).
Input Capabilities
Supported data types and modalities
Both Pixtral-12B and Qwen3.5-9B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Pixtral-12B
Qwen3.5-9B
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
Pixtral-12B was released on 2024-09-17, while Qwen3.5-9B was released on 2026-03-02.
Qwen3.5-9B is 18 months newer than Pixtral-12B.
Sep 17, 2024
1.5 years ago
Mar 2, 2026
1 weeks ago
1.5yr 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
Pixtral-12B
View detailsMistral AI
Qwen3.5-9B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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