Comparison · 2026-11-12
DeepSeek V3.2 vs Qwen3 235B A22B Instruct 2507
Side-by-side comparison of pricing, context window and capabilities for DeepSeek V3.2 (DeepSeek) and Qwen3 235B A22B Instruct 2507 (Alibaba (Qwen)).
| DeepSeek V3.2 | Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
| Vendor | DeepSeek | Alibaba (Qwen) |
| Input price / 1M tokens | $0.209 | $0.090 |
| Output price / 1M tokens | $0.310 | $0.100 |
| Total per 1M (in + out) | $0.518 | $0.190 |
| Context window | 164K | 262K |
| Max output tokens | 82K | 131K |
| Tool calling | ✓ Yes | ✓ Yes |
| Structured output | ✓ Yes | Unknown |
| Reasoning | ✓ Yes | ✗ No |
| Vision input | ✗ No | ✗ No |
| Open weights | ✓ Yes | ✓ Yes |
| Provider availability | 32 providers | 22 providers |
| Release date | 2025-12-01 | 2025-07-21 |
| Knowledge cutoff | 2024-07 | 2025-04 |
Quick takeaway
- Qwen3 235B A22B Instruct 2507 is 2.7× cheaper per 1M tokens (input + output combined).
- Qwen3 235B A22B Instruct 2507 has a larger context window (262K vs 164K).
- Only DeepSeek V3.2 supports structured output / JSON mode.
- DeepSeek V3.2 is more widely available across providers (32 vs 22).
How to read this comparison
This page compares DeepSeek V3.2 and Qwen3 235B A22B Instruct 2507 on the dimensions that matter most for production LLM selection: per-token cost, context window, declared capabilities (tool calling, structured output, reasoning, vision), and provider availability.
Green highlights in the table indicate which model leads on a given row. "Leads" means lower price or higher context/capability — not necessarily "better for your use case". A model that costs 3× more may still be the right choice if it unlocks a capability you need.
What this comparison does NOT tell you
- Quality / accuracy — we have no benchmark data. Declared capabilities ≠ measured performance.
- Latency — time-to-first-token varies by provider, region and load. Test with your actual traffic.
- Prompt caching savings — if you reuse system prompts, the cheaper model on headline rate may not be cheapest in practice.
- Fine-tuning availability — not all models can be fine-tuned, even if they are open-weight.
Data is refreshed daily. If a model's capabilities or pricing change, this page updates automatically on the next build cycle.
Frequently asked questions
Is DeepSeek V3.2 cheaper than Qwen3 235B A22B Instruct 2507?
DeepSeek V3.2 costs $0.209/1M tokens input + $0.310/1M tokens output, while Qwen3 235B A22B Instruct 2507 costs $0.090/1M tokens input + $0.100/1M tokens output. Qwen3 235B A22B Instruct 2507 is cheaper per combined 1M tokens.
Which model has a longer context window, DeepSeek V3.2 or Qwen3 235B A22B Instruct 2507?
Qwen3 235B A22B Instruct 2507 supports a longer context window — 262,144 tokens vs 163,840 tokens.
Where can I run DeepSeek V3.2 and Qwen3 235B A22B Instruct 2507?
DeepSeek V3.2 is available on 32 providers; Qwen3 235B A22B Instruct 2507 is available on 22 providers. See each model's detail page for the full provider list.
Explore more
Last updated:
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.