meta-llamamodel

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...

text vision multimodal instruct cheap long-context

Best for

Image UnderstandingVisual Q&AOCRMultimodal Tasks

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Context Window

131K tokens ≈ 291 pages of text

Input Cost

$0.34/1M

Output Cost

$0.34/1M

Latency p50

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Pricing Details

Standard Pricing

Input (per 1M tokens)

$0.34

Output (per 1M tokens)

$0.34

Price history

4/11/2026$0.24 in / $0.24 out

Hallucination Score™ (est.)

Community reliability estimate · not official

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Not yet rated

About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.

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Input & output cost per 1M tokens over time

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Provider

meta-llama

Usage & Examples

Learn how to use Meta: Llama 3.2 11B Vision Instruct

✓Complex reasoning and analysis

✓Customer support automation

✓Content generation and editing

✓Code review and debugging

✓Research summarization

💡 Tip: Start with the sample prompts above to see how Meta: Llama 3.2 11B Vision Instruct works best.

Community Prompts

Proven prompts shared by the community for this model

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