Llama 3.2 Instruct 11B (Vision)
AI model by Meta. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. Llama 3.2 Instruct 11B (Vision) is a budget-tier option from Meta at $0.34/M output tokens. Despite the low price, it scores competitively on measurable benchmarks — making it a candidate for high-volume production workloads where unit cost dominates.
Latency. On latency, Llama 3.2 Instruct 11B (Vision) reports 40 tok/s output speed and 1080ms time-to-first-token. Output speed is on the slower end; for real-time chat consider pairing with a streaming front-end or routing latency-sensitive requests to a faster model.
Cost model. For a workload of 1M input tokens + 100K output tokens, Llama 3.2 Instruct 11B (Vision) costs $0.37 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-24.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
Llama 3.2 Instruct 11B (Vision)Current | $0.34 | $0.34 | 40 tok/s |
| Gemma 4 26B A4B (Reasoning) | $0.12 | $0.37 | — |
| Gemma 4 12B (Non-reasoning) | $0.10 | $0.30 | 114 tok/s |
| Step 3.5 Flash 2603 | $0.10 | $0.30 | 214 tok/s |
| Mistral Small 3.1 | $0.10 | $0.30 | 149 tok/s |
| Mistral Small 3.2 | $0.10 | $0.30 | 151 tok/s |