Qwen2.5 7B Instruct vs Qwen3.5-9B Comparison
Comparing Qwen2.5 7B Instruct and Qwen3.5-9B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen2.5 7B Instruct outperforms in 0 benchmarks, while Qwen3.5-9B is better at 4 benchmarks (GPQA, IFEval, MMLU-Pro, MMLU-Redux).
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
Qwen3.5-9B has 1.4B more parameters than Qwen2.5 7B Instruct, making it 18.3% larger.
Context Window
Maximum input and output token capacity
Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).
Input Capabilities
Supported data types and modalities
Qwen3.5-9B supports multimodal inputs, whereas Qwen2.5 7B Instruct does not.
Qwen3.5-9B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen2.5 7B Instruct
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
Qwen2.5 7B Instruct was released on 2024-09-19, while Qwen3.5-9B was released on 2026-03-02.
Qwen3.5-9B is 18 months newer than Qwen2.5 7B Instruct.
Sep 19, 2024
1.5 years ago
Mar 2, 2026
2 weeks ago
1.4yr 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
Qwen2.5 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Qwen3.5-9B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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