โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Llama 3.2 1B Instruct vs R1 0528

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 3.2 1B Instruct and R1 0528.

Meta

Llama 3.2 1B Instruct

Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...

View Full Specs
DeepSeek

R1 0528

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) 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...

View Full Specs

Technical Specifications

SpecificationLlama 3.2 1B InstructR1 0528
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 Date2024-09-252025-05-28

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 1B Instruct

$0.03

R1 0528

$0.50

Output Price per Million Tokens

Llama 3.2 1B Instruct

$0.20

R1 0528

$2.15

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

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

Llama 3.2 1B Instruct Quirks & Gotchas

No developer gotchas reported.

R1 0528 Quirks & Gotchas

No developer gotchas reported.