Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
BETA
Meta
Meta
MultimodalLIVE INDEX

Llama 3.2 11B Vision Instruct

text+image->text

Smaller Llama 3.2 vision model — fits on a single GPU while keeping multimodal capability.

Llama 3.2 11B Vision Instruct is a multimodal AI model from Meta. It costs $0.345 per million input tokens and $0.345 per million output tokens (blended $0.345/M), with a 131K-token context window.

Profile inherited from upstream Llama 3.2 11B Vision — this is a hosted variant of the same open-weights model.

INPUT
$0.345/M
per million input tokens
OUTPUT
$0.345/M
per million output tokens
CONTEXT
131K
131,072 tokens
What it's good at
  • Single-GPU vision
  • Open weights
  • Cheap multimodal
Typical use cases
  • On-prem vision QA
  • Cheap multimodal RAG
  • Fine-tune base
Benchmarks
vs. best public score
Scores inherited from Llama 3.2 11B Vision — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU73%
Multitask academic knowledge across 57 subjects.
GPQA Diamond33%
Graduate-level science questions, "Google-proof".
MATH51%
High-school competition math problems.
HumanEval64%
Python function synthesis from docstrings.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources — treat as directional rather than authoritative.
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Frequently asked questions

How much does Llama 3.2 11B Vision Instruct cost?

Llama 3.2 11B Vision Instruct costs $0.345 per million input tokens and $0.345 per million output tokens, for a blended reference rate of $0.345 per million tokens.

What is Llama 3.2 11B Vision Instruct's context window?

Llama 3.2 11B Vision Instruct supports up to 131K tokens of context (131,072 tokens).

What is Llama 3.2 11B Vision Instruct best for?

Llama 3.2 11B Vision Instruct is well suited to Single-GPU vision, Open weights and Cheap multimodal.

Who makes Llama 3.2 11B Vision Instruct?

Llama 3.2 11B Vision Instruct is developed and served by Meta. It was released in Sep 2024.