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Llama 3.2 11B Vision Instruct vs Llama 4 Maverick

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 Llama 4 Maverick.

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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Meta

Llama 4 Maverick

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...

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Technical Specifications

SpecificationLlama 3.2 11B Vision InstructLlama 4 Maverick
ProviderMetaMeta
Context Window131,072 tokens1,048,576 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2024-09-252025-04-05

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 11B Vision Instruct

$0.34

Llama 4 Maverick

$0.15

Output Price per Million Tokens

Llama 3.2 11B Vision Instruct

$0.34

Llama 4 Maverick

$0.60

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.

Llama 4 Maverick Quirks & Gotchas

No developer gotchas reported.