DeepSeek R1 Distill Llama 70B
A 70B reasoning model distilled from DeepSeek R1 onto Llama 3.3 70B, with weights under the MIT license.
- Params
- 70.6B
- Context
- 131K tokens
- Max output
- 33K
- Released
- License
- MIT
Hosted API price
Cheapest via Novita · per 1M tokens
- Input
- $0.80 /1M
- Output
- $0.80 /1M
- Hosted by
-
1 provider
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 Distill Llama 70B, cheapest input first. Set your monthly volume to see what each would bill.
| Provider | Input /1M | Output /1M | Cost at 10M in + 2M out | Link |
|---|---|---|---|---|
|
|
$0.80 | $0.80 | $9.60 | 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 Distill Llama 70B needs about 46 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 4× RTX 4060 Ti at about $374 a month.
That costs the same as roughly 468M 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 | 46 GB |
|
$374 | 468M tokens /mo |
| 8-bit FP8 / INT8 | 83 GB |
|
$461 | 576M tokens /mo |
| 16-bit FP16 / BF16 | 154 GB |
|
$1,440 | 2B 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 Distill Llama 70B by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs DeepSeek R1 Distill Llama 70B |
|---|---|---|---|---|---|---|
|
|
$0.6667 | $0.30 | $2.50 | 1M | Mar 2026 | −17% |
|
|
$0.6667 | $0.50 | $1.50 | 16K | Sep 2021 | −17% |
|
|
$0.6667 | $0.50 | $1.50 | 256K | −17% | |
|
|
$0.7333 | $0.40 | $2.40 | 1M | −8% | |
|
|
$0.7667 | $0.60 | $1.60 | 200K | −4% | |
|
|
$0.80 | $0.80 | $0.80 | 131K | ||
|
|
$0.8667 | $0.60 | $2.20 | 205K | +8% | |
|
|
$0.9167 | $0.50 | $3.00 | 1M | Jan 2025 | +15% |
|
|
$0.9167 | $0.50 | $3.00 | 1M | +15% | |
|
|
$0.95 | $0.70 | $2.20 | 1M | +19% | |
|
|
$0.99 | $0.66 | $2.64 | 1M | Sep 2025 | +24% |
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 Distill Llama 70B 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.
Common questions
What is DeepSeek R1 Distill Llama 70B good for?
Reasoning work on a dense 70B model. MIT-licensed weights, far lighter to self-host than the 671B R1 it was distilled from, on a single high-memory GPU.
When is DeepSeek R1 Distill Llama 70B not a good fit?
Tool use and image input: it has no function calling or structured output, and takes text only.
What is the cheapest way to run DeepSeek R1 Distill Llama 70B?
Hosted, unless you push serious volume. Novita charges $0.80 in / $0.80 out per 1M tokens. The cheapest rental that fits is 4x RTX 4060 Ti at $374 a month, which costs the same as about 468M tokens a month on that API.
Can I self-host DeepSeek R1 Distill Llama 70B?
Yes. The weights are MIT licensed. At 4-bit it needs about 46 GB of GPU memory, which starts at roughly $374 a month on the cheapest rental that fits.
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