Llama 3.2 90B Vision Instruct
Llama 3.2 90B Vision Instruct is Meta's language model with a 128K context window and up to 16K output tokens, available from 4 providers, starting at $0.9 / 1M input and $0.9 / 1M output. Meta's 90B instruction-tuned vision-language model from Llama 3.2, optimized for high-capacity visual recognition, reasoning, and captioning tasks.
Capabilities
Input1/5
Text·
Image✓
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities3/13
Reasoning·
Adaptive Reasoning·
Function Calling✓
Parallel Function Calling✓
Structured Outputs✓
Native JSON Schema·
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | |
|---|---|---|
| Input $ / 1M | Output $ / 1M | |
| $2.04 | $2.04 | |
| $0.9 | $0.9 | |
| $2.00 | $2.00 | |
| $2.00 | $2.00 | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host Llama 3.2 90B Vision Instruct, ranked by cheapest on-demand price. The model needs about 216 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_NP40s |  Azure | 4× AMD Alveo U250 FPGA (64GB) | 256 GB | $6.60/hr | westus2 | |
| Standard_NC96ads_A100_v4 | Azure | 4× NVIDIA A100 | 320 GB | $14.69/hr | westus2 | |
| g7e.24xlarge |  AWS | 4× RTX PRO Server 6000 | 384 GB | $16.57/hr | us-east-1 | |
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| Llama 3.2 11B Vision Instruct | 131K | $0.015 | $0.025 | Deprecated | |
| Llama 3.2 90B Vision Instruct | — | 128K | $0.900 | $0.900 | Current |