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⚡ Quick Answer (TL;DR)

DeepSeek V3 costs $0.140 per 1M input tokens and $0.280 per 1M output tokens. It features a 131k context window, a blended 3:1 production rate of $0.175/1M, and is optimized for general llm routing, high-scale automation, cost reduction vs openai.

DeepSeek V3 Token Pricing

DeepSeek Flagship / Open-Weights

671B MoE (37B active) open-weights powerhouse providing top-tier intelligence at disruptive pricing ($0.14/1M input).

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Input Price
$0.140
per 1 Million tokens
Output Price
$0.280
per 1 Million tokens
Prompt Caching
$0.014
Saves up to 90%
Context Window
131k
Max output: 8k tokens

Verified Specifications & Benchmark Data

Developer / Provider DeepSeek
Model Family DeepSeek
Blended 3:1 Rate (Production Benchmark) $0.175 / 1M tokens
Batch API Discount (24hr SLA) None
Multimodal Vision ❌ Text Only
Function Calling / Structured Outputs ✅ Native Tool Calling
MMLU Benchmark Score 88.5%
Latency & Throughput Tier Fast (~60 t/s)
Optimal Architecture & Use Cases General LLM routing, high-scale automation, cost reduction vs OpenAI

Frequently Asked Questions about DeepSeek V3

How much does DeepSeek V3 cost per 1M tokens?

DeepSeek V3 pricing is set at $0.140 per 1 million input tokens and $0.280 per 1 million output tokens. For high-volume batch workloads, 24-hour batch queues provide a None.

How much money does DeepSeek V3 prompt caching save?

With prompt caching enabled, cached input tokens are discounted to $0.014/1M, saving 90% on repeated system prompts and document vectors.

What is the context window limit of DeepSeek V3?

DeepSeek V3 has a maximum context window of 131k (131,072 tokens), supporting up to 8,192 completion tokens per response.

Hosting & Cloud GPU Options for DeepSeek V3

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