对比 · 2026-08-13
DeepSeek-V3.2 vs Qwen3 235B A22B Instruct 2507
并排对比 DeepSeek-V3.2（DeepSeek）与 Qwen3 235B A22B Instruct 2507（Alibaba (Qwen)）的定价、上下文窗口与能力。
| DeepSeek-V3.2 | Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
| 厂商 | DeepSeek | Alibaba (Qwen) |
| 输入价格 / 1M token | $0.180 | $0.200 |
| 输出价格 / 1M token | $0.350 | $0.300 |
| 1M token 合计（输入 + 输出） | $0.530 | $0.500 |
| 上下文长度 | 164K | 262K |
| 最大输出 token | 82K | 131K |
| 工具调用 | ✓ 是 | ✓ 是 |
| 结构化输出 | ✓ 是 | 未公开 |
| 推理 | ✓ 是 | ✗ 否 |
| 图像输入 | ✗ 否 | ✗ 否 |
| 开放权重 | ✓ 是 | ✓ 是 |
| 渠道可用性 | 34 家渠道 | 19 家渠道 |
| 发布日期 | 2025-12-01 | 2025-07-21 |
| 知识截止 | 2024-07 | 2025-04 |
一句话结论
- Qwen3 235B A22B Instruct 2507 在每百万 token（输入 + 输出合计）成本上便宜约 1.1 倍。
- Qwen3 235B A22B Instruct 2507 的上下文窗口更长（262K，对比 164K）。
- 仅 DeepSeek-V3.2 支持结构化输出 / JSON 模式。
- DeepSeek-V3.2 在更多提供商处可用（34 家 vs 19 家）。
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
DeepSeek-V3.2 是否比 Qwen3 235B A22B Instruct 2507 便宜？
DeepSeek-V3.2 的输入价为 $0.180/百万 token + 输出价为 $0.350/百万 token；Qwen3 235B A22B Instruct 2507 为 $0.200/百万 token（输入）+ $0.300/百万 token（输出）。综合每百万 token 成本更低的是 Qwen3 235B A22B Instruct 2507。
DeepSeek-V3.2 与 Qwen3 235B A22B Instruct 2507 谁的上下文更长？
Qwen3 235B A22B Instruct 2507 的上下文窗口更长——约 262,144 token vs 163,840 token。
在哪里可以运行 DeepSeek-V3.2 和 Qwen3 235B A22B Instruct 2507？
DeepSeek-V3.2 在 34 家提供商可用；Qwen3 235B A22B Instruct 2507 在 19 家提供商可用。完整列表请参见各模型详情页。
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最近更新：
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.