Llama 3.2 11B Vision Instruct vs MiniMax M2.5
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 MiniMax M2.5.
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...
MiniMax M2.5
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...
Technical Specifications
| Specification | Llama 3.2 11B Vision Instruct | MiniMax M2.5 |
|---|---|---|
| Provider | Meta | MiniMax |
| Context Window | 131,072 tokens | 204,800 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-09-25 | 2026-02-12 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.2 11B Vision Instruct
$0.34
MiniMax M2.5
$0.12
Output Price per Million Tokens
Llama 3.2 11B Vision Instruct
$0.34
MiniMax M2.5
$0.48
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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.
MiniMax M2.5 Quirks & Gotchas
No developer gotchas reported.