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Llama 3.2 11B Vision Instruct vs o4 Mini High

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 11B Vision Instruct and o4 Mini High.

Meta

Llama 3.2 11B Vision Instruct

Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and...

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OpenAI

o4 Mini High

OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...

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Technical Specifications

SpecificationLlama 3.2 11B Vision Instructo4 Mini High
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 Date2024-09-252025-04-16

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 11B Vision Instruct

$0.34

o4 Mini High

$1.10

Output Price per Million Tokens

Llama 3.2 11B Vision Instruct

$0.34

o4 Mini High

$4.40

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 11B Vision Instruct Quirks & Gotchas

No developer gotchas reported.

o4 Mini High Quirks & Gotchas

No developer gotchas reported.