Model catalog

DeepSeek R1 Distill Llama 70B

Open weights

DeepSeek R1 Distill Llama 70B is a language model from DeepSeek with a 128K-token context window. Provider list price is $2 per million input tokens and $2 per million output; on Allocate you pay $2.14 and $2.14 with the 7% transaction fee. The weights are open under MIT, so you can fine-tune it and own the result.

Pricing

Provider listOn Allocate
Input, per M tokens$2$2.14
Output, per M tokens$2$2.14

Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.

Price against its peers

Kimi K2.5 Fp4$0.50$2.80
GLM 5 Fp4$1$3.20
DeepSeek R1 Distill Llama 70B$2$2
InputOutput

Provider list prices per M tokens, DeepSeek R1 Distill Llama 70B against its nearest language peers by price.

What a real workload costs

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $2 + 350 × $2 = $3,100 a month. Billed on Allocate it is $3,317 with the 7% transaction fee.

DeepSeek R1 Distill Llama 70B is an open-weights model under the MIT license. Fine-tune it on your own data and the weights stay inside your boundary; they belong to you.

Example usage

Point a route at deepseek/deepseek-r1-distill-llama-70b and the endpoint never changes; swap the model behind it whenever you want.

api.allocate.network
curl https://api.allocate.network/v1/chat/completions \
  -H "Authorization: Bearer $ALLOCATE_KEY" \
  -d '{
    "model": "deepseek/deepseek-r1-distill-llama-70b",
    "messages": [{"role": "user",
      "content": "Summarise the attached contract."}]
  }'
200 · deepseek/deepseek-r1-distill-llama-70b · inside your boundary

Common questions

How much does DeepSeek R1 Distill Llama 70B cost per million tokens?

Provider list price is $2 per million input tokens and $2 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $2.14 in and $2.14 out.

What context window does DeepSeek R1 Distill Llama 70B have?

131,072 tokens (128K). At roughly 0.75 words per token, that is about 98k words of English text per request.

Can I fine-tune DeepSeek R1 Distill Llama 70B?

Yes. DeepSeek R1 Distill Llama 70B is an open-weights model under the MIT license. The license is permissive, so the fine-tuned weights are yours to use commercially. On Allocate the trained weights stay inside your boundary and belong to you.

How do I call DeepSeek R1 Distill Llama 70B on Allocate?

Send deepseek/deepseek-r1-distill-llama-70b in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.

Compare against