對比 · 2026-06-29
DeepSeek-V3.2 vs Qwen3 235B A22B Instruct 2507
並排對比 DeepSeek-V3.2（DeepSeek）與 Qwen3 235B A22B Instruct 2507（Alibaba (Qwen)）的定價、上下文視窗與能力。
| DeepSeek-V3.2 | Qwen3 235B A22B Instruct 2507 | |
|---|---|---|
| 廠商 | DeepSeek | Alibaba (Qwen) |
| 輸入價格 / 1M token | $0.180 | $0.100 |
| 輸出價格 / 1M token | $0.350 | $0.100 |
| 1M token 合計（輸入 + 輸出） | $0.530 | $0.200 |
| 上下文長度 | 128K | 262K |
| 最大輸出 token | 128K | 131K |
| 工具呼叫 | ✓ 是 | ✓ 是 |
| 結構化輸出 | 未公開 | 未公開 |
| 推理 | ✓ 是 | ✗ 否 |
| 圖像輸入 | ✗ 否 | ✗ 否 |
| 開放權重 | ✓ 是 | ✓ 是 |
| 渠道可用性 | 32 家渠道 | 16 家渠道 |
| 發布日期 | 2025-12-01 | 2025-07-23 |
| 知識截止 | 2024-07 | 2025-04 |
一句話結論
- Qwen3 235B A22B Instruct 2507 在每百萬 token（輸入 + 輸出合計）成本上便宜約 2.6 倍。
- Qwen3 235B A22B Instruct 2507 的上下文視窗更長（262K，對比 128K）。
- DeepSeek-V3.2 可在更多提供者處使用（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
DeepSeek-V3.2 是否比 Qwen3 235B A22B Instruct 2507 便宜？
DeepSeek-V3.2 的輸入價為 $0.180/百萬 token + 輸出價為 $0.350/百萬 token；Qwen3 235B A22B Instruct 2507 為 $0.100/百萬 token（輸入）+ $0.100/百萬 token（輸出）。綜合每百萬 token 成本較低的是 Qwen3 235B A22B Instruct 2507。
DeepSeek-V3.2 與 Qwen3 235B A22B Instruct 2507 誰的上下文更長？
Qwen3 235B A22B Instruct 2507 的上下文視窗更長——約 262,144 token vs 128,000 token。
在哪裡可以執行 DeepSeek-V3.2 和 Qwen3 235B A22B Instruct 2507？
DeepSeek-V3.2 在 32 家提供者可用；Qwen3 235B A22B Instruct 2507 在 16 家提供者可用。完整列表請參見各模型詳情頁。
Explore more
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.