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Llama 3.2 3B Instruct vs o4 Mini Deep Research

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 3B Instruct and o4 Mini Deep Research.

Meta

Llama 3.2 3B Instruct

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...

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OpenAI

o4 Mini Deep Research

o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.

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Technical Specifications

SpecificationLlama 3.2 3B Instructo4 Mini Deep Research
ProviderMetaOpenAI
Context Window131,072 tokens200,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-09-252025-10-10

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 3B Instruct

$0.05

o4 Mini Deep Research

$2.00

Output Price per Million Tokens

Llama 3.2 3B Instruct

$0.33

o4 Mini Deep Research

$8.00

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 3B Instruct Quirks & Gotchas

No developer gotchas reported.

o4 Mini Deep Research Quirks & Gotchas

No developer gotchas reported.