Qwen2.5-Coder 7B Instruct vs Qwen3.5-397B-A17B Comparison
Comparing Qwen2.5-Coder 7B Instruct and Qwen3.5-397B-A17B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen2.5-Coder 7B Instruct outperforms in 0 benchmarks, while Qwen3.5-397B-A17B is better at 2 benchmarks (MMLU-Pro, MMLU-Redux).
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 390.0B more parameters than Qwen2.5-Coder 7B Instruct, making it 5571.4% 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
Qwen3.5-397B-A17B supports multimodal inputs, whereas Qwen2.5-Coder 7B Instruct does not.
Qwen3.5-397B-A17B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen2.5-Coder 7B Instruct
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
Qwen2.5-Coder 7B Instruct was released on 2024-09-19, while Qwen3.5-397B-A17B was released on 2026-02-16.
Qwen3.5-397B-A17B is 17 months newer than Qwen2.5-Coder 7B Instruct.
Sep 19, 2024
1.5 years ago
Feb 16, 2026
4 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-Coder 7B Instruct
View detailsAlibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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