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Llama 3.1 70B Instruct vs R1

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 70B Instruct and R1.

Meta

Llama 3.1 70B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...

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DeepSeek

R1

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....

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Technical Specifications

SpecificationLlama 3.1 70B InstructR1
ProviderMetaDeepSeek
Context Window131,072 tokens163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-07-232025-01-20

API Pricing Comparison

Input Price per Million Tokens

Llama 3.1 70B Instruct

$0.40

R1

$0.70

Output Price per Million Tokens

Llama 3.1 70B Instruct

$0.40

R1

$2.50

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/Avs9080.0%
Llama 3.1 70B Instruct
R1
HumanEvalPython coding & logic synthesis
N/Avs9280.0%
Llama 3.1 70B Instruct
R1
MATHComplex mathematical problem solving
N/Avs9310.0%
Llama 3.1 70B Instruct
R1
GPQAGraduate-level expert reasoning
N/Avs6210.0%
Llama 3.1 70B Instruct
R1
HellaSwagCommonsense reasoning and inference
N/Avs9050.0%
Llama 3.1 70B Instruct
R1
MT-BenchMulti-turn conversation flow quality
N/Avs935.0%
Llama 3.1 70B Instruct
R1

Llama 3.1 70B Instruct Quirks & Gotchas

No developer gotchas reported.

R1 Quirks & Gotchas

No developer gotchas reported.