Meta: Llama 3.2 11B Vision Instruct
Analysis Summary
Meta's Llama 3.2 11B Vision Instruct combines text and image input with a large 131K token context window, making it capable of handling lengthy documents alongside visual content. However, its measured intelligence and coding benchmarks are well below current frontier models, limiting its use for demanding analytical tasks.
It suits basic multimodal applications such as image description or simple document review where cost matters more than peak accuracy. Agentic tool use is present but weak in practice.
Best treated as an entry-level multimodal option rather than a primary business workhorse.
Assessed July 25, 2026
Editorial notes
Llama 3.2 11B Vision adds image understanding and a 131K context window from Meta, but its measured reasoning and coding scores are low.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Llama 3.2 11B Vision adds image understanding and a 131K context window from Meta, but its measured reasoning and coding scores are low.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
3 Intelligence Index·1.7 Math Index
How Meta: Llama 3.2 11B Vision Instruct compares
Meta: Llama 3.2 11B Vision Instruct ranks #388 of 428 AI models we track for overall intelligence. Its 131K-token context window is larger than 50% of the models we list. At $0.35 per million input tokens it is cheaper than 43% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.35 | $0.000345 |
| Output | $0.35 | $0.000345 |
What would Meta: Llama 3.2 11B Vision Instruct cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 718 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Meta: Llama 3.2 11B Vision Instruct for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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..
Frequently asked questions about Meta: Llama 3.2 11B Vision Instruct
How much does Meta: Llama 3.2 11B Vision Instruct cost?
Meta: Llama 3.2 11B Vision Instruct costs $0.35 per million input tokens and $0.35 per million output tokens.
What is the context window of Meta: Llama 3.2 11B Vision Instruct?
Meta: Llama 3.2 11B Vision Instruct has a context window of 131,072 tokens (131K).
What can Meta: Llama 3.2 11B Vision Instruct do?
Meta: Llama 3.2 11B Vision Instruct supports image/vision input.
Who created Meta: Llama 3.2 11B Vision Instruct?
Meta: Llama 3.2 11B Vision Instruct is developed by Meta and was released on September 25, 2024.