Model Comparison
DeepSeek-V3.2-Speciale vs Qwen3.5-397B-A17BWhich is better in 2026?
Qwen3.5-397B-A17B shows notably better performance in the majority of benchmarks. DeepSeek-V3.2-Speciale is 4.3x cheaper per token.
Verdict: DeepSeek-V3.2-Speciale vs Qwen3.5-397B-A17B — which is better?
DeepSeek-V3.2-Speciale (by DeepSeek) and Qwen3.5-397B-A17B (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek-V3.2-Speciale outperforms in 2 benchmarks (HMMT 2025, Humanity's Last Exam), while Qwen3.5-397B-A17B is better at 4 benchmarks (SWE-Bench Verified, t2-bench, Terminal-Bench 2.0, Toolathlon). Qwen3.5-397B-A17B shows notably better performance in the majority of benchmarks.
On price, DeepSeek-V3.2-Speciale is roughly 4.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3.5-397B-A17B also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V3.2-Speciale if…
- cost matters — it's about 4.3x cheaper per token
Choose Qwen3.5-397B-A17B if…
- you want the strongest raw capability — it leads on 4 of 6 shared benchmarks
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Feb 2026
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.2-Speciale outperforms in 2 benchmarks (HMMT 2025, Humanity's Last Exam), while Qwen3.5-397B-A17B is better at 4 benchmarks (SWE-Bench Verified, t2-bench, Terminal-Bench 2.0, Toolathlon).
Qwen3.5-397B-A17B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 2.1x cheaper than Qwen3.5-397B-A17B ($0.60/1M tokens).
For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 8.6x cheaper than Qwen3.5-397B-A17B ($3.60/1M tokens).
In conclusion, Qwen3.5-397B-A17B is more expensive than DeepSeek-V3.2-Speciale.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3.2-Speciale has 288.0B more parameters than Qwen3.5-397B-A17B, making it 72.5% larger.
Context Window
Maximum input and output token capacity
Qwen3.5-397B-A17B accepts 262,144 input tokens compared to DeepSeek-V3.2-Speciale's 131,072 tokens. DeepSeek-V3.2-Speciale can generate longer responses up to 131,072 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.
Input Capabilities
Supported data types and modalities
Qwen3.5-397B-A17B supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.
Qwen3.5-397B-A17B can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3.2-Speciale
Qwen3.5-397B-A17B
License
Usage and distribution terms
DeepSeek-V3.2-Speciale is licensed under MIT, while Qwen3.5-397B-A17B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V3.2-Speciale was released on 2025-12-01, while Qwen3.5-397B-A17B was released on 2026-02-16.
Qwen3.5-397B-A17B is 3 months newer than DeepSeek-V3.2-Speciale.
Dec 1, 2025
7 months ago
Feb 16, 2026
5 months ago
2mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V3.2-Speciale is available from DeepSeek. Qwen3.5-397B-A17B is available from Novita.
DeepSeek-V3.2-Speciale
Qwen3.5-397B-A17B
Outputs Comparison
Key Takeaways
Qwen3.5-397B-A17B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V3.2-Speciale and Qwen3.5-397B-A17B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V3.2-Speciale vs Qwen3.5-397B-A17B.