Llama 3.2 11B Vision Instruct
DeprecatedLlama 3.2 11B Vision Instruct is Meta's language model with a 131K context window and up to 16K output tokens, available from 6 providers, starting at $0.015 / 1M input and $0.025 / 1M output. Meta's 11B instruction-tuned vision-language model optimized for visual recognition, image reasoning, and captioning with multimodal input support.
Capabilities
Input2/5
Text✓
Image✓
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities3/13
Reasoning·
Adaptive Reasoning·
Function Calling✓
Parallel Function Calling✓
Structured Outputs✓
Native JSON Schema·
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | |
|---|---|---|
| Input $ / 1M | Output $ / 1M | |
| $0.049 | $0.676 | |
| $0.049 | $0.049 | |
| $0.2 | $0.2 | |
| $0.35 | $0.35 | |
| $0.015 | $0.025 | |
| $2.00 | $2.00 | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host Llama 3.2 11B Vision Instruct, ranked by cheapest on-demand price. The model needs about 26 GB of GPU memory at FP16 precision (estimated from its parameter count), so treat the fit as guidance rather than a guarantee.
All clouds
FP16 (full precision)
US Dollar ($)
Instance | Cloud | GPU | VRAM | Price | Cheapest region | |
|---|---|---|---|---|---|---|
| Standard_NV16as_v4 |  Azure | AMD Radeon Instinct MI25 | 32 GB | $0.932/hr | ||
| Standard_NP10s | Azure | AMD Alveo U250 FPGA (64GB) | 64 GB | $1.65/hr | ||
| g6e.xlarge |  AWS | L40S | 45 GB | $1.86/hr | ||
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| Llama 3.2 11B Vision Instruct | 131K | $0.015 | $0.025 | Current | |
| Llama 3.2 90B Vision Instruct | — | 131K | $0.900 | $0.900 | Deprecated |