Llama 3.2 11B Vision Instruct vs Llama 3.3 70B Instruct
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 3.2 11B Vision Instruct and Llama 3.3 70B Instruct.
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...
Llama 3.3 70B Instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
Technical Specifications
| Specification | Llama 3.2 11B Vision Instruct | Llama 3.3 70B Instruct |
|---|---|---|
| Provider | Meta | Meta |
| Context Window | 131,072 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-09-25 | 2024-12-06 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.2 11B Vision Instruct
$0.34
Llama 3.3 70B Instruct
$0.10
Output Price per Million Tokens
Llama 3.2 11B Vision Instruct
$0.34
Llama 3.3 70B Instruct
$0.32
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Llama 3.2 11B Vision Instruct Quirks & Gotchas
No developer gotchas reported.
Llama 3.3 70B Instruct Quirks & Gotchas
No developer gotchas reported.