Should you use llama-3.2-90b-vision-instruct?
llama-3.2-90b-vision-instruct is listed for chat workloads and supports a 8K context window.
Use it when NVIDIA NIM's free tier is enough for evaluation, demos, or light production traffic.
https://integrate.api.nvidia.com/v1 meta/llama-3.2-90b-vision-instruct llama-3.2-90b-vision-instruct is listed for chat workloads and supports a 8K context window.
Use it when NVIDIA NIM's free tier is enough for evaluation, demos, or light production traffic.
We only found this llama-3.2-90b-vision-instruct listing on NVIDIA NIM in the current catalog. Use the related models section for nearby alternatives.
| Provider | Model listing | Access | Context | API | Limits |
|---|---|---|---|---|---|
| | meta/llama-3.2-90b-vision-instruct | Free tier | 8K | Native | Varies |
| Model | Provider | Context | Access |
|---|---|---|---|
| 01-ai/yi-large | NVIDIA NIM | 131K | Free tier |
| adept/fuyu-8b | NVIDIA NIM | 131K | Free tier |
| ai21labs/jamba-1.5-large-instruct | NVIDIA NIM | 131K | Free tier |
| aisingapore/sea-lion-7b-instruct | NVIDIA NIM | 131K | Free tier |
| bigcode/starcoder2-15b | NVIDIA NIM | 131K | Free tier |
llama-3.2-90b-vision-instruct is tagged for chat in this catalog and works with OpenAI-compatible client libraries.
llama-3.2-90b-vision-instruct is listed with free API access on NVIDIA NIM, subject to the provider's quota and account policy.
The model ID shown in this catalog is meta/llama-3.2-90b-vision-instruct.
The listed context window is 8K tokens with up to 4K output tokens.
Large open multimodal Llama model for image reasoning, document QA, and captioning
For API keys, setup steps, and provider-level limits, see the NVIDIA NIM provider page.