DeepSeek V3

DeepSeek's 671B MoE general-purpose model (37B active), an open-weight option for coding and reasoning.

Params: 671B, 37B active
Context: 128K tokens
Released: Dec 2024
License: DeepSeek Model License

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Hosted API price

Cheapest via Packet·ai · per 1M tokens

USD

Input: $0.85 /1M
Hosted by: 2 providers

Hosted API pricing

How we price

Order

Providers are listed cheapest input rate first, then by output rate, a tie going to the creator's own listing. A provider that lists the model without a published rate sits at the end.

Prices

Base-tier, on-demand rates in USD per 1M tokens, converted at ECB reference rates where a provider publishes in another currency. Cached-input and batch rates show only where a provider publishes them. "Cheapest" marks the one provider with the lowest input and output pair; a tie wears no badge.

Cost

Input rate times the input tokens plus output rate times the output tokens, at the monthly volume set above the table. Cached-input, batch, long-context and reasoning-token billing are not modelled.

Transparency and funding

Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.

Every provider serving DeepSeek V3, cheapest input first. Set your monthly volume to see what each would bill.

Input M Output M

Every provider serving DeepSeek V3, with its price per 1M input and output tokens and what the volume above would cost
Provider	Input /1M	Output /1M	Cost at 10M in + 2M out	Link
Packet·ai Cheapest	$0.85			Visit website
Replicate	$1.45	$1.45	$17.40	Visit website

Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.

Estimated cost to self-host

DeepSeek V3 needs about 373 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× A100 at about $10,714 a month.

Single node ≤ 8

What it costs to self-host DeepSeek V3 at each precision: the memory it needs, the cheapest rental that holds it, that rental's month and the API volume it pays off at
Precision	Memory	Cheapest fit (32K context)(Full 128K context)	Cost /mo
4-bit INT4 / FP4	373 GB380 GB	8× A100	$10,714$10,714
8-bit FP8 / INT8	674 GB678 GB	8× RTX PRO 6000	$13,709$13,709
16-bit FP16 / BF16	1,346 GB1,353 GB	8× B300	$54,720$54,720

Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. No guarantee of runtime support, usable performance, or that a matching quantized build exists. Pricing methodology.

Lium

Built for agents: CLI, SDK and MCP server. Your agent rents and runs GPUs itself.

A permissionless marketplace. 1000+ nodes from independent providers worldwide.

Hard to find nodes available; B200 and B300 Blackwell nodes listed now.

Consumer + DC grade cards for cheap. H100s from $1/hr, RTX 5090s from $0.35/hr.

View Pricing

Capabilities

What DeepSeek V3 accepts and can do, as published by DeepSeek.

Text Accepts and generates natural-language text.
Function calling Connect to external tools, APIs, and systems.

Common questions

What is DeepSeek V3 good for?

General chat and coding with tool calling. Open weights under the DeepSeek Model License, on a multi-GPU node.

When is DeepSeek V3 not a good fit?

Image input or structured output: it is text only. Its weights carry the DeepSeek Model License rather than the MIT terms of the later releases, and running them takes a multi-GPU node.

What is the cheapest way to run DeepSeek V3?

The cheapest hosted rate is $0.85 per 1M tokens via Packet·ai.

How does DeepSeek V3 compare with DeepSeek V3.1?

DeepSeek says DeepSeek V3.1 continues pretraining from DeepSeek V3 to extend its context, then post-trains one model with thinking and non-thinking modes, with better tool use and multi-step agent tasks. Same text input. DeepSeek V3 costs 26% more per 1M input tokens than DeepSeek V3.1, at each model's cheapest listed provider. It came out 8 months earlier, has a smaller context (128K against 131K tokens) and is licensed under DeepSeek Model License against MIT.

Can I self-host DeepSeek V3?

Yes. The weights are released under the DeepSeek Model License. At 4-bit it needs about 373 GB of GPU memory, which starts at roughly $10,714 a month on the cheapest rental that fits.