Comparison · 2026-06-29
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 | $0.180 | $0.100 |
| Output price / 1M tokens | $0.350 | $0.100 |
| Total per 1M (in + out) | $0.530 | $0.200 |
| Context window | 128K | 262K |
| Max output tokens | 128K | 131K |
| Tool calling | ✓ Yes | ✓ Yes |
| Structured output | Unknown | Unknown |
| Reasoning | ✓ Yes | ✗ No |
| Vision input | ✗ No | ✗ No |
| Open weights | ✓ Yes | ✓ Yes |
| Provider availability | 32 providers | 16 providers |
| Release date | 2025-12-01 | 2025-07-23 |
| Knowledge cutoff | 2024-07 | 2025-04 |
Quick takeaway
- Qwen3 235B A22B Instruct 2507 is 2.6× cheaper per 1M tokens (input + output combined).
- Qwen3 235B A22B Instruct 2507 has a larger context window (262K vs 128K).
- DeepSeek-V3.2 is more widely available across providers (32 vs 16).
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 $0.180/1M tokens input + $0.350/1M tokens output, while Qwen3 235B A22B Instruct 2507 costs $0.100/1M 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 128,000 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 16 providers. See each model's detail page for the full provider list.
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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.