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deepseek

DeepSeek: R1 0528

deepseek/deepseek-r1-0528

↓ runs free on your own hardware⚙ tool calling

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...

specs & pricing
Type
text
Provider
deepseek
Model ID
deepseek/deepseek-r1-0528
Capabilities
tools, reasoning
Context window
164K tokens
Self-hostable
Yes — runs on your own GPU
Input price
$0.55 / 1M tokens
Output price
$2.37 / 1M tokens

Cloud price is billed from prepaid credits when a request fails over to the cloud. Open-weight models run free on GPUs you own — the gateway routes to your nodes first.

What it costs to run

cloud · 1M in + 1M out

$2.92

$0.55 for a million input tokens plus $2.37 for a million output tokens, billed from credits only when a request fails over to the cloud.

your hardware

$0 / token

Served from a workstation or on-prem server you own, there is no per-token fee — the marginal cost is power.

AI cost calculator →GPU power cost →

Run it on your own hardware

Estimated GPU memory for DeepSeek: R1 0528 (685B parameters), including the KV cache for a 8,192-token context.

Q4_K_M
~390.2 GBmulti-GPU or large unified memory
Q8_0
~677.1 GBmulti-GPU or large unified memory
FP16 / BF16
~1276.3 GBmulti-GPU or large unified memory

Install the agent on the machine and it dials out to the gateway over a single WebSocket — no port forwarding or inbound firewall rules. Requests for this model go to your node first and fail over to the cloud only when it can't serve.

VRAM calculator →Which GPU do I need? →

/// initialize

Call DeepSeek: R1 0528 through one OpenAI-compatible endpoint.

Serve it from hardware you own, with cloud failover when your nodes are busy or offline.

Run it on your own hardwareTry it in chat

no credit card · 2 nodes free · openai-compatible

Frequently asked questions

What is the context window of DeepSeek: R1 0528?
DeepSeek: R1 0528 accepts up to 163,840 tokens (164K) of context per request.
How much does DeepSeek: R1 0528 cost per million tokens?
Through Wide Area Intelligence, DeepSeek: R1 0528 costs $0.55 per 1M input tokens and $2.37 per 1M output tokens when served from the cloud, billed from prepaid credits. A workload of 1M input plus 1M output tokens costs $2.92.
Can I run DeepSeek: R1 0528 on my own hardware?
Yes — DeepSeek: R1 0528 is an open-weight model you can run on a workstation or on-prem server you own. At Q4_K_M it needs roughly 390.2 GB of GPU memory with an 8,192-token context — more than a single 80 GB card, so plan for multiple GPUs or a large unified-memory machine. Wide Area Intelligence routes requests to your own nodes first and fails over to the cloud only when they can't serve.

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