DeepSeek R1
DeepSeek's 671B MoE reasoning model (37B active) with chain-of-thought reasoning for math and code.
- Params
- 671B, 37B active
- Context
- 128K tokens
- Released
- License
- MIT
Hosted API price
Cheapest via Novita · per 1M tokens
- Input
- $0.70 /1M
- Output
- $2.50 /1M
- Hosted by
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3 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 R1, cheapest input first. Set your monthly volume to see what each would bill.
| Provider | Input /1M | Output /1M | Cached input /1M | Cost at 10M in + 2M out | Link |
|---|---|---|---|---|---|
|
|
$0.70 | $2.50 | $0.35 | $12.00 | Visit website |
|
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$1.35 | $5.40 | $24.30 | Visit website | |
|
|
$3.75 | $10.00 | $57.50 | 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 R1 needs about 373 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× A100 at about $9,850 a month.
That costs the same as roughly 10B tokens a month on Novita's API. Self-hosting is more expensive below that volume.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo | Break-even vs API |
|---|---|---|---|---|
| 4-bit INT4 / FP4 | 373 GB |
|
$9,850 | 10B tokens /mo |
| 8-bit FP8 / INT8 | 674 GB |
|
$12,614 | 13B tokens /mo |
| 16-bit FP16 / 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. Pricing methodology.
Similarly priced models
The models nearest DeepSeek R1 by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs DeepSeek R1 |
|---|---|---|---|---|---|---|
|
|
$0.8667 | $0.60 | $2.20 | 205K | −13% | |
|
|
$0.9167 | $0.50 | $3.00 | 1M | Jan 2025 | −8% |
|
|
$0.9167 | $0.50 | $3.00 | 1M | −8% | |
|
|
$0.95 | $0.70 | $2.20 | 1M | −5% | |
|
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$0.99 | $0.66 | $2.64 | 1M | Sep 2025 | −1% |
|
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$1.00 | $0.70 | $2.50 | 128K | ||
|
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$1.00 | $0.70 | $2.50 | 64K | 0% | |
|
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$1.00 | $0.65 | $2.75 | 8K | Dec 2023 | 0% |
|
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$1.00 | $0.40 | $4.00 | 262K | 0% | |
|
|
$1.0333 | $0.60 | $3.20 | 262K | +3% | |
|
|
$1.1667 | $1.00 | $2.00 | 256K | +17% |
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.
Capabilities
What DeepSeek R1 accepts and can do, as published by DeepSeek.
- Text Accepts and generates natural-language text.
- 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.
Common 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?
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 $9,850 a month on the cheapest rental that fits.
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