DeepSeek-V3 vs Qwen3.5-0.8B Comparison
Comparing DeepSeek-V3 and Qwen3.5-0.8B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 outperforms in 6 benchmarks (C-Eval, GPQA, IFEval, LongBench v2, MMLU-Pro, MMLU-Redux), while Qwen3.5-0.8B is better at 0 benchmarks.
DeepSeek-V3 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
DeepSeek-V3 has 670.2B more parameters than Qwen3.5-0.8B, making it 83775.0% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3 specifies input context (131,072 tokens). Only DeepSeek-V3 specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
Qwen3.5-0.8B supports multimodal inputs, whereas DeepSeek-V3 does not.
Qwen3.5-0.8B can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3
Qwen3.5-0.8B
License
Usage and distribution terms
DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Qwen3.5-0.8B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 was released on 2024-12-25, while Qwen3.5-0.8B was released on 2026-03-02.
Qwen3.5-0.8B is 14 months newer than DeepSeek-V3.
Dec 25, 2024
1.2 years ago
Mar 2, 2026
1 weeks ago
1.2yr 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
DeepSeek-V3
View detailsDeepSeek
Qwen3.5-0.8B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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