Model comparison
Llama 3.1 8B Instruct vs Llama 3.2 11B Vision Instruct
Compare Llama 3.1 8B Instruct and Llama 3.2 11B Vision Instruct: input/output $/Mtoken, context window, modalities, and license. OpenRouter-synced pricing.
Meta
Llama 3.1 8B Instruct
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance co
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..
| Metric | Llama 3.1 8B Instruct | Llama 3.2 11B Vision Instruct |
|---|---|---|
| Provider | Meta | Meta |
| Context window | 131,072 | 131,072 |
| Input $/Mtok | $0.020 | $0.345 |
| Output $/Mtok | $0.030 | $0.345 |
| Modalities | text | text, vision |
| License | open-weights | open-weights |
Quick take
On input price, Llama 3.1 8B Instruct is cheaper at $0.020/Mtok. For context window, Llama 3.1 8B Instruct leads with 131,072 tokens.
Pick based on your workload: high-volume cheap inference vs long-document / agent loops. Enterprise DNA can wire either model into Omni with evals, secrets, and job orchestration.