DeepSeek R1 Distill Llama 70B

by DeepSeek

DeepSeek R1 Distill Llama 70B is a 70-billion parameter model based on Llama 3.3 70B Instruct, fine-tuned using outputs from DeepSeek R1 to transfer reasoning patterns and chain-of-thought capabilities. Released in January 2025, it performs strongly on complex mathematical and reasoning tasks, reaching around 70% on AIME 2024 and 94.5% on MATH-500. The distillation approach lets a dense 70B model capture reasoning behaviors from the much larger 671B R1 parent, making it efficient for organizations that prefer dense architectures over Mixture-of-Experts designs. It significantly outperforms the base Llama 3.3 70B model on reasoning benchmarks. Well suited to educational tools, research applications, and mathematical problem-solving, DeepSeek R1 Distill Llama 70B pairs a familiar dense architecture with reasoning-grade performance. As a Llama-derived model it inherits the Llama 3.3 license.

Key info

Input
Output
Features
Context window
131K
Max output
131K
Input price
$0.70 /1M
Output price
$0.80 /1M
  • US residency available
  • Zero data retention via Enterprise
  • No training by default
  • GDPR DPA available

Available routes

DeepSeek R1 Distill Llama 70B runs on 2 different routes through the Opper gateway. Compare residency, ZDR, and training posture at a glance β€” full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
DeepInfraUSEnterpriseNo$0.70$0.80
NovitaUSEnterpriseNo$0.80$0.80

Training posture across routes: No training on prompts by default.

Data handling per route

Each route hosting DeepSeek R1 Distill Llama 70B has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

DeepInfra β€” United StatesπŸ‡ΊπŸ‡Έ

Zero data retention is available via Opper Enterprise contract. No training on customer data. US; unknown.

Zero data retention
Available via Opper Enterprise contract.
Training
No training on customer data.
Logging
Limited debug logs
Third-party access
None disclosed
GDPR DPA
No DPA
Transfer mechanism
unknown

Novita β€” United StatesπŸ‡ΊπŸ‡Έ

Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.

Zero data retention
Available via Opper Enterprise contract.
Training
No training on customer data.
Logging
Abuse monitoring
Third-party access
None disclosed
GDPR DPA
DPA available
Transfer mechanism
SCCs

Benchmarks

Independent benchmark scores β€” composite indices for reasoning, coding, and math, plus individual eval scores where available.

Global rank#325 of 531 LLMs
TierEfficient
Output speed40 tok/s
First token0.49s
Intelligence Index9.9
Math Index53.7
Reasoning & knowledge
MMLU-Pro
80%
GPQA Diamond
40%
Humanity's Last Exam
6%
Long-context reasoning
11%
Coding
LiveCodeBench
27%
SciCode
31%
Agentic & tool use
Terminal-Bench Hard
2%
τ²-Bench Telecom
22%
Math & instruction following
AIME 2025
54%
IFBench
28%

Get started

Call DeepSeek R1 Distill Llama 70B through the Opper gateway with one API key. Let your coding agent set it up, or call it directly β€” Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into your coding agent β€” Claude Code, Cursor, Codex, and more β€” and it'll wire up Opper for you.

Or call it directly

import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.OPPER_API_KEY,
baseURL: "https://api.opper.ai/v3/compat",
});
const completion = await client.chat.completions.create({
model: "deepinfra/deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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DeepSeek R1 Distill Llama 70B by DeepSeek β€” pricing, benchmarks | Opper AI