Llama 3.2 11B Vision
Meta's smallest multimodal Llama, a 10.6B model that adds image understanding through cross-attention adapters and suits single-GPU deployment.
Key Specifications
- Context window
- 128K tokens
- Knowledge cutoff
- Parameters
- 10.6B
- Inputs
- Text, image
- Capabilities Show details
- Function calling Connect to external tools, APIs, and systems.
Hosted API pricing
| Provider | Input /1M tokens | Output /1M tokens | Cost at 10M in + 2M out | |
|---|---|---|---|---|
|
|
$0.05 | $0.68 | $1.86 | View |
|
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Open weights, no hosted price | View | ||
Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.
Estimated cost to self-host
Llama 3.2 11B Vision needs about 10 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 1× RTX 4070 at about $72 a month.
That costs the same as roughly 465M tokens a month on Cloudflare's API. Self-hosting is more expensive below that volume.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo | Break-even vs API |
|---|---|---|---|---|
| 4-bitINT4 / FP4 |
10 GB
|
$72
|
465M tokens /mo
|
|
| 8-bitFP8 / INT8 |
17 GB
|
$86
|
557M tokens /mo
|
|
| 16-bitFP16 / BF16 |
27 GB
|
$158
|
1B tokens /mo
|
Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.
Similarly priced models
The models nearest Llama 3.2 11B Vision by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs Llama 3.2 11B Vision |
|---|---|---|---|---|---|---|
|
|
$0.1333 | $0.10 | $0.30 | 33K | −14% | |
|
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$0.15 | $0.10 | $0.40 | 1M | Jan 2025 | −3% |
|
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$0.15 | $0.10 | $0.40 | 1M | Jun 2024 | −3% |
|
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$0.15 | $0.15 | $0.15 | 256K | −3% | |
|
|
$0.15 | $0.10 | $0.40 | 1M | −3% | |
|
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$0.155 | $0.05 | $0.68 | 128K | Dec 2023 | |
|
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$0.1583 | $0.09 | $0.50 | 1M | Jun 2025 | +2% |
|
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$0.17 | $0.13 | $0.37 | 256K | Jan 2025 | +10% |
|
|
$0.1717 | $0.09 | $0.58 | 262K | +11% | |
|
|
$0.175 | $0.13 | $0.40 | 128K | Dec 2023 | +13% |
|
|
$0.19 | $0.09 | $0.69 | 262K | +23% |
Prices are USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.
Frequently Asked Questions
What is Llama 3.2 11B Vision good for?
Image understanding with text: captions, document and chart questions. Open weights under the Llama 3.2 Community License, small enough for a single consumer GPU.
When is Llama 3.2 11B Vision not a good fit?
Tool calling on image inputs: it works only with text-only prompts. No structured output, and its knowledge is older than the current open models'.
What is the cheapest way to run Llama 3.2 11B Vision?
Hosted, unless you push serious volume. Cloudflare charges $0.05 in / $0.68 out per 1M tokens. The cheapest rental that fits is 1x RTX 4070 at $72 a month, which costs the same as about 465M tokens a month on that API.
Can I self-host Llama 3.2 11B Vision?
Yes. The weights are released under the Llama 3.2 Community License. At 4-bit it needs about 10 GB of GPU memory, which starts at roughly $72 a month on the cheapest rental that fits.
More from Meta
| Model | Context | Input /1M | Output /1M |
|---|---|---|---|
|
|
128K | $0.13 | $0.40 |
|
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10M | $0.16 | $0.64 |
|
|
128K | $0.05 | $0.34 |
|
|
1M | $0.20 | $0.70 |
|
|
8K | $0.05 | $0.25 |
|
|
131K | $0.20 | $0.80 |
|
|
128K | $0.03 | $0.20 |
|
|
131K | $0.02 | $0.05 |