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R1 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 R1 and R1 Distill Llama 70B.

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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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

SpecificationR1R1 Distill Llama 70B
ProviderDeepSeekDeepSeek
Context Window163,840 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-01-202025-01-23

API Pricing Comparison

Input Price per Million Tokens

R1

$0.70

R1 Distill Llama 70B

$0.80

Output Price per Million Tokens

R1

$2.50

R1 Distill Llama 70B

$0.80

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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
9080.0%vs8520.0%
R1
R1 Distill Llama 70B
HumanEvalPython coding & logic synthesis
9280.0%vs8830.0%
R1
R1 Distill Llama 70B
MATHComplex mathematical problem solving
9310.0%vs7000.0%
R1
R1 Distill Llama 70B
GPQAGraduate-level expert reasoning
6210.0%vs4450.0%
R1
R1 Distill Llama 70B
HellaSwagCommonsense reasoning and inference
9050.0%vs8600.0%
R1
R1 Distill Llama 70B
MT-BenchMulti-turn conversation flow quality
935.0%vs905.0%
R1
R1 Distill Llama 70B

R1 Quirks & Gotchas

No developer gotchas reported.

R1 Distill Llama 70B Quirks & Gotchas

No developer gotchas reported.