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Llama 3.1 8B vs R1 Distill Llama 70B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 3.1 8B and R1 Distill Llama 70B.

Meta

Llama 3.1 8B

Llama 3.1 8B is Meta's lightweight open-weight model from the Llama 3.1 generation, optimized for efficient deployment on consumer hardware and edge devices. Despite its compact 8-billion-parameter size, it delivers strong performance on instruction following, text summarization, and lightweight coding tasks. Lllama 3.1 8B is the most downloaded model in the Llama family and runs efficiently on laptops, single GPUs, and CPU via quantization โ€” making it the default choice for on-device AI applications and local prototyping.

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DeepSeek

R1 Distill Llama 70B

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...

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Technical Specifications

SpecificationLlama 3.1 8BR1 Distill Llama 70B
ProviderMetaDeepSeek
Context Window131,072 tokens128,000 tokens
Agent Suitability74/100N/A
Time to First Token (TTFT)80 msN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-07-232025-01-23

API Pricing Comparison

Input Price per Million Tokens

Llama 3.1 8B

$0.04

R1 Distill Llama 70B

$0.80

Output Price per Million Tokens

Llama 3.1 8B

$0.04

R1 Distill Llama 70B

$0.80

Want to test both models live?

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
N/Avs8520.0%
Llama 3.1 8B
R1 Distill Llama 70B
HumanEvalPython coding & logic synthesis
N/Avs8830.0%
Llama 3.1 8B
R1 Distill Llama 70B
MATHComplex mathematical problem solving
N/Avs7000.0%
Llama 3.1 8B
R1 Distill Llama 70B
GPQAGraduate-level expert reasoning
N/Avs4450.0%
Llama 3.1 8B
R1 Distill Llama 70B
HellaSwagCommonsense reasoning and inference
N/Avs8600.0%
Llama 3.1 8B
R1 Distill Llama 70B
MT-BenchMulti-turn conversation flow quality
N/Avs905.0%
Llama 3.1 8B
R1 Distill Llama 70B

Llama 3.1 8B Quirks & Gotchas

  • โ–ธPerfect for CPU/edge deployment โ€” runs on Raspberry Pi with quantization
  • โ–ธLimited tool calling vs larger models โ€” best for simple classification and chat

R1 Distill Llama 70B Quirks & Gotchas

No developer gotchas reported.