Celon

DeepSeek R1 Distill Llama 70B

ChatInput: TextReleased Jan 23, 2025

Built by DeepSeek · China · deepseek.com

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...

How to use

model: "deepseek/deepseek-r1-distill-llama-70b"

Cap quality here and save

Hard questions go to this model, easy ones drop to something cheaper. Set a savings target (0–0.8) and the router tunes itself until realized savings converge on it.

{
  "model": "celon/auto",
  "celon": {
    "anchor": "deepseek/deepseek-r1-distill-llama-70b",
    "savings_target": 0.4
  }
}

Naming a model directly gets you that model — savings controls don't apply.

Context

131K

Max output

8K

Input $/1M

$0.70

Output $/1M

$0.80

Features

JSON

Serving providers

DeepInfraNovita

Providers

Price, latency, and uptime per provider serving this model. Celon routes each request to the fastest and cheapest of them. Click a row for regions and data policies.

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Performance

Benchmark quality scores, and measured speed per provider.

Quality

GPQA DiamondPhD-level science questions
55.7%
AIMECompetition mathematics
51.4%

At each model's best reasoning effort. Benchmarks it wasn't run on are omitted.

Speed

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