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deepseek-r1-distill-llama-70b

DeepSeek R1 Distill LLama 70B

Try deepseek-r1-distill-llama-70bCompareDocs

Specifications

Context window32K tokens
Max outputβ€”
API typechat
AddedJan 30, 2025
Model IDnovita/deepseek/deepseek-r1-distill-llama-70b
Data retentionYes
Used for trainingUnknown
Provider locationπŸ‡ΊπŸ‡Έ US
Privacy policyNovita AI Privacy Policy→

Benchmarks

Released 2025-01-20
Coding Indexcoding
11.4%

Artificial Analysis Coding Index β€” a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
40.2%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
16.0%

Artificial Analysis Intelligence Index β€” a composite of multiple evaluations measuring overall model capability.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality β€” always test on your own workload.

Pricing

Input / 1M
$0.80
Output / 1M
$0.80
Cache write
β€”
Cache read
β€”
Estimated cost
100K input + 10K output$0.0880
1M input + 100K output$0.88
10M input + 1M output$8.80

Requesty charges exactly what the upstream provider charges β€” no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to novita/deepseek/deepseek-r1-distill-llama-70b.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="novita/deepseek/deepseek-r1-distill-llama-70b",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

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Frequently asked questions

How much does deepseek-r1-distill-llama-70b cost?
deepseek-r1-distill-llama-70b is priced at $0.80 per million input tokens and $0.80 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges β€” we don't add markup.
What is the context window of deepseek-r1-distill-llama-70b?
deepseek-r1-distill-llama-70b has a context window of 32K tokens. That's roughly 43 words of input you can fit in a single prompt.
How does deepseek-r1-distill-llama-70b perform on benchmarks?
deepseek-r1-distill-llama-70b scores 79.5% on MMLU Pro, 53.7% on Math Index, 53.7% on AIME 2025. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can deepseek-r1-distill-llama-70b do?
deepseek-r1-distill-llama-70b is a text-generation model you can call through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use deepseek-r1-distill-llama-70b with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "novita/deepseek/deepseek-r1-distill-llama-70b". The Quickstart above shows Python, JavaScript and cURL snippets.

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