DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinfor…
Model details →DeepSeek: DeepSeek V3.2 Speciale vs Qwen: Qwen3 235B A22B Thinking 2507
DeepSeek: DeepSeek V3.2 Speciale and Qwen: Qwen3 235B A22B Thinking 2507 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144 tok…
Model details →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V3.2 Speciale | Qwen: Qwen3 235B A22B Thinking 2507 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 164K | 131K | 🏆 DeepSeek: DeepSeek V3.2 Speciale |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.40 | $0.15 | 🏆 Qwen: Qwen3 235B A22B Thinking 2507 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.20 | $1.50 | 🏆 DeepSeek: DeepSeek V3.2 Speciale |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Qwen: Qwen3 235B A22B Thinking 2507 |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is DeepSeek: DeepSeek V3.2 Speciale better than Qwen: Qwen3 235B A22B Thinking 2507?
DeepSeek: DeepSeek V3.2 Speciale and Qwen: Qwen3 235B A22B Thinking 2507 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between DeepSeek: DeepSeek V3.2 Speciale and Qwen: Qwen3 235B A22B Thinking 2507?
Input: $0.40 vs $0.15 per 1M tokens. Output: $1.20 vs $1.50 per 1M tokens.
What context windows do DeepSeek: DeepSeek V3.2 Speciale and Qwen: Qwen3 235B A22B Thinking 2507 support?
DeepSeek: DeepSeek V3.2 Speciale supports up to 164K tokens. Qwen: Qwen3 235B A22B Thinking 2507 supports up to 131K tokens.
Do both DeepSeek: DeepSeek V3.2 Speciale and Qwen: Qwen3 235B A22B Thinking 2507 support tool calling?
DeepSeek: DeepSeek V3.2 Speciale: not advertised. Qwen: Qwen3 235B A22B Thinking 2507: yes.