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Llama 3.1 405B 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 405B and R1 Distill Llama 70B.

Meta

Llama 3.1 405B

Llama 3.1 405B is Meta's largest open-weight language model and one of the most capable openly available models in the world. With 405 billion parameters, it achieves performance competitive with GPT-4 and Claude Opus across benchmarks spanning general knowledge, mathematics, coding, and multilingual tasks. Llama 3.1 405B is released under Meta's custom commercial license, supporting broad use cases including deployment via major cloud providers (AWS, GCP, Azure) and self-hosted inference with multi-GPU configurations.

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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 405BR1 Distill Llama 70B
ProviderMetaDeepSeek
Context Window131,072 tokens128,000 tokens
Agent Suitability90/100N/A
Time to First Token (TTFT)550 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 405B

$0.80

R1 Distill Llama 70B

$0.80

Output Price per Million Tokens

Llama 3.1 405B

$0.80

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 405B
R1 Distill Llama 70B
HumanEvalPython coding & logic synthesis
N/Avs8830.0%
Llama 3.1 405B
R1 Distill Llama 70B
MATHComplex mathematical problem solving
N/Avs7000.0%
Llama 3.1 405B
R1 Distill Llama 70B
GPQAGraduate-level expert reasoning
N/Avs4450.0%
Llama 3.1 405B
R1 Distill Llama 70B
HellaSwagCommonsense reasoning and inference
N/Avs8600.0%
Llama 3.1 405B
R1 Distill Llama 70B
MT-BenchMulti-turn conversation flow quality
N/Avs905.0%
Llama 3.1 405B
R1 Distill Llama 70B

Llama 3.1 405B Quirks & Gotchas

  • โ–ธMassive model โ€” requires 8ร— A100 80GB for FP16 inference
  • โ–ธAvailable via Together AI, Fireworks, and Bedrock as managed API

R1 Distill Llama 70B Quirks & Gotchas

No developer gotchas reported.