Model Comparison
DeepSeek-V3.2-Exp vs Qwen3 235B A22BWhich is better in 2026?
DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. Qwen3 235B A22B is 3.0x cheaper per token.
Verdict: DeepSeek-V3.2-Exp vs Qwen3 235B A22B — which is better?
DeepSeek-V3.2-Exp (by DeepSeek) and Qwen3 235B A22B (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-Exp outperforms in 4 benchmarks (AIME 2025, GPQA, LiveCodeBench, MMLU-Pro), while Qwen3 235B A22B is better at 0 benchmarks. DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.
On price, Qwen3 235B A22B is roughly 3.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V3.2-Exp also accepts a larger context window (163,840 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V3.2-Exp if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- you process long inputs — it offers a 163,840 token context window
- you want the most recent training data — it shipped Sep 2025
Choose Qwen3 235B A22B if…
- cost matters — it's about 3.0x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.2-Exp outperforms in 4 benchmarks (AIME 2025, GPQA, LiveCodeBench, MMLU-Pro), while Qwen3 235B A22B is better at 0 benchmarks.
DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 2.7x more expensive than Qwen3 235B A22B ($0.10/1M tokens).
For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 4.1x more expensive than Qwen3 235B A22B ($0.10/1M tokens).
In conclusion, DeepSeek-V3.2-Exp is more expensive than Qwen3 235B A22B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3.2-Exp has 450.0B more parameters than Qwen3 235B A22B, making it 191.5% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V3.2-Exp accepts 163,840 input tokens compared to Qwen3 235B A22B's 128,000 tokens. Qwen3 235B A22B can generate longer responses up to 128,000 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.
License
Usage and distribution terms
DeepSeek-V3.2-Exp is licensed under MIT, while Qwen3 235B A22B 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-Exp was released on 2025-09-29, while Qwen3 235B A22B was released on 2025-04-29.
DeepSeek-V3.2-Exp is 5 months newer than Qwen3 235B A22B.
Sep 29, 2025
9 months ago
5mo newerApr 29, 2025
1.2 years ago
Knowledge 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-Exp is available from Novita. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.
DeepSeek-V3.2-Exp
Qwen3 235B A22B
Outputs Comparison
Key Takeaways
DeepSeek-V3.2-Exp
View detailsDeepSeek
Qwen3 235B A22B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V3.2-Exp and Qwen3 235B A22B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V3.2-Exp vs Qwen3 235B A22B.