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DeepSeek: R1 Distill Llama 70B

Deepseek · deepseek/deepseek-r1-distill-llama-70b

Runs in the cloud, on our API — not on your own machine.

open weights reasoning optional retires 2026-09-28

DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across

Install on 00

Get the 00 app

Free · macOS

Your agents, your models, your machine — this model installs with one click once the app is on board.

Download free →

Scheduled to retire on 2026-09-28 — worth choosing what replaces it before then.

What it costs

Input / 1M
$1.60
Output / 1M
$1.60
1M in + 1M out
$3.20

Final AI-token prices, per million tokens. Bring your own provider key in the app to pay provider rates directly.

What it can do

Takes
text
Returns
text
Tools
no
Reasoning
optional
Context window
8K tokens
Max output
7K tokens
Open weights
yes

Benchmarks

BenchmarkWhat it measuresScore
GPQA Diamondgraduate-level science questions55.7% ± 3.0
AIMEcompetition mathematics51.4% ± 6.0
MATH level 5the hardest tier of the MATH problem set89.9% ± 0.7

Scores by Epoch AI, CC BY 4.0. The ± is the margin of error: models inside each other's margins are tied, not ranked. Epoch's notes on this row: source “epoch”.

Dates

Released
2025-01-23
Knowledge cutoff
2024-07-31
Retires
2026-09-28

Using it

In the 00 app — pick it per agent, and per tier, then build your own agents on it. Get 00.

As a drop-in API — the same model at an OpenAI-compatible endpoint. Two settings:

  1. Create a workspace API key in the Overblast console — usage bills that workspace's AI tokens, at the prices on this page.
  2. Point your base URL at https://brain.deployd.network/ai/v1. Chat completions with streaming, embeddings, /images, /audio/transcriptions and /videos.
curl https://brain.deployd.network/ai/v1/chat/completions \
  -H "Authorization: Bearer ob_live_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek/deepseek-r1-distill-llama-70b",
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

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