DeepSeek logo Open weights · MIT

DeepSeek R1

DeepSeek's 671B MoE reasoning model (37B active) with chain-of-thought reasoning for math and code.

Cheapest via Novita
Input
$0.70 /1M tokens
Output
$2.50 /1M tokens
Novita Azure Replicate 3 providers

Key Specifications

Context window
128K tokens
Released
Parameters
671B, 37B active
Inputs
Text
Capabilities Show details
Reasoning Thinks before it answers, always on or as a switchable mode. Function calling Connect to external tools, APIs, and systems. Structured output Return responses in structured formats like JSON.

Hosted API pricing

Provider Input /1M tokens Output /1M tokens Cached input /1M Cost at 10M in + 2M out
Novita logo Novita Cheapest $0.70 $2.50 $0.35 $12.00 View
Microsoft Azure logo Azure $1.35 $5.40 $24.30 View
Replicate logo Replicate $3.75 $10.00 $57.50 View

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 R1 needs about 373 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× A100 at about $10,138 a month.

That costs the same as roughly 10B tokens a month on Novita's API. Self-hosting is more expensive below that volume.

Single node ≤ 8
Precision Memory Cheapest fit (32K context) Cost /mo Break-even vs API
4-bitINT4 / FP4
373 GB
$10,138
10B tokens /mo
8-bitFP8 / INT8
674 GB
$12,672
13B tokens /mo
16-bitFP16 / BF16
1,346 GB
$45,446
45B tokens /mo

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. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.

Similarly priced models

The models nearest DeepSeek R1 by blended rate, each at its own cheapest provider.

Model Blended /1M vs DeepSeek R1
Z.AI GLM-4.7 Z.AI $0.8667 −13%
Google Cloud Gemini 3 Flash Preview Google Cloud $0.9167 −8%
Alibaba Cloud Qwen3.6-Plus Alibaba Cloud $0.9167 −8%
Z.AI GLM-5.2 Z.AI $0.95 −5%
Nvidia Nemotron 3 Ultra 550B A55B Nvidia $0.99 −1%
DeepSeek DeepSeek R1 This model DeepSeek $1.00
DeepSeek DeepSeek R1 Turbo DeepSeek $1.00 0%
Meta Llama 3 70B Meta $1.00 0%
Alibaba Cloud Qwen3-VL-235B-A22B Thinking Alibaba Cloud $1.00 0%
Moonshot AI Kimi K2.6 Moonshot AI $1.0333 +3%
xAI Grok Build 0.1 xAI $1.1667 +17%

Prices are USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.

Frequently Asked Questions

What is DeepSeek R1 good for?

Math and code tasks that gain from step-by-step reasoning. MIT-licensed weights allow self-hosting or fine-tuning, on a multi-GPU node.

When is DeepSeek R1 not a good fit?

Cost-sensitive or multimodal work: it is text only and sits at the top of DeepSeek's price range. DeepSeek's later hybrid models fold R1-style reasoning into a single chat model.

What is the cheapest way to run DeepSeek R1?

Hosted, unless you push serious volume. Novita charges $0.70 in / $2.50 out per 1M tokens. The cheapest rental that fits is 8x A100 at $10,138 a month, which costs the same as about 10B tokens a month on that API.

Can I self-host DeepSeek R1?

Yes. The weights are MIT licensed. At 4-bit it needs about 373 GB of GPU memory, which starts at roughly $10,138 a month on the cheapest rental that fits.

More from DeepSeek

Model Context Input /1M Output /1M
DeepSeek DeepSeek R1 Turbo Open weights 64K $0.70 $2.50
DeepSeek DeepSeek R1 Distill Llama 70B Open weights 131K $0.80 $0.80
DeepSeek DeepSeek V4 Flash Vision Exp 1M $0.44 $1.32
DeepSeek DeepSeek V3 Turbo Open weights 64K $0.40 $1.30
DeepSeek DeepSeek V4 Pro Open weights 1M $0.45 $0.89
DeepSeek DeepSeek V4.1 Flash Open weights 1M $0.30 $1.20
DeepSeek DeepSeek V3 Open weights 128K $0.27 $1.12
DeepSeek DeepSeek V3.1 Open weights 131K $0.27 $1.00