DeepSeekDeepSeek V3chatOpen Weight
DeepSeek V3.1
Canonical Model Slug: deepseek-v3.1 · License Source: DeepSeek Official Model License / MIT Open-Weight Repository
Vision: NoTool Calling: YesReasoning: YesPrompt Caching: Yes
收錄報價總數9across 9 providers
可比較標準報價數9USD / 1M Token basis
最低 Input / 1M$0.25Standard tier min
最低 Output / 1M$0.95Standard tier min
最大 Context Window163,840Max tokens
Max Output Tokens163,840Completion limit
跨供應商 Input / Output 費率視覺化比較 (USD / 1M Tokens)
Showing top 9 comparable offerings sorted by input price
跨供應商價格比較表 (9)
所有價格均可追溯至 LiteLLM 或國網中心原始紀錄，國網報價固定置頂。勾選多列可鎖定圖表比較，點擊「原始紀錄」可檢視完整 JSON 欄位。
| Select | Marketplace · Underlying | Context Window | 計價方案 (Tier) · Region | 操作 | |||
|---|---|---|---|---|---|---|---|
DeepInfra deepinfra/deepseek-ai/DeepSeek-V3.1 | DeepInfra Serverless Inference: DeepInfra | $0.25 ★ 最低價 | $0.95 ★ 最低價 | 163,840 | StandardGlobal + Cache / Batch rates | ||
Novita AI novita/deepseek/deepseek-v3.1 | Novita AI Inference: Novita AI | $0.27 | $1.00 | 131,072 | StandardGlobal + Cache / Batch rates | ||
Baseten baseten/deepseek-ai/DeepSeek-V3.1 | Baseten Model APIs Inference: Baseten | $0.50 | $1.50 | 163,840 | StandardGlobal | ||
Weights & Biases (Weave) wandb/deepseek-ai/DeepSeek-V3.1 | W&B Inference Inference: Not Specified | $0.55 | $1.65 | 161,000 | StandardGlobal | ||
Google Vertex AI (DeepSeek) vertex_ai/deepseek-ai/deepseek-v3.1-maas | Google Cloud Vertex AI Inference: Google Cloud | $0.60 | $1.70 | 163,840 | StandardGlobal + Cache / Batch rates | ||
Together AI together_ai/deepseek-ai/DeepSeek-V3.1 | Together AI Cloud Inference: Together AI | $0.60 | $1.70 | 131,072 | StandardGlobal | ||
Replicate replicate/deepseek-ai/deepseek-v3.1 | Replicate Inference: Replicate | $0.672 | $2.016 | 163,840 | StandardGlobal | ||
Azure AI Foundry azure_ai/deepseek-v3.1 | Microsoft Azure AI Inference: Microsoft Azure | $1.23 | $4.94 | 163,840 | StandardGlobal | ||
SambaNova sambanova/DeepSeek-V3.1 | SambaNova Cloud Inference: SambaNova RDU | $3.00 | $4.50 | 131,072 | StandardGlobal |
同系列獨立變體與不同參數規模模型（嚴格分離、不強制合併）
依據平台標準化規則，不同參數規模（如 20B 與 120B）、Safeguard 安全微調版、Preview 版與 GGUF 量化版本皆維持獨立比較，不混入上方報價表。
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