Llama 3.2 3B Instruct vs MiniMax-01
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 3B Instruct and MiniMax-01.
Llama 3.2 3B Instruct
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...
MiniMax-01
MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...
Technical Specifications
| Specification | Llama 3.2 3B Instruct | MiniMax-01 |
|---|---|---|
| Provider | Meta | MiniMax |
| Context Window | 131,072 tokens | 1,000,192 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 | beta |
| API Available | Yes | Yes |
| Released Date | 2024-09-25 | 2025-01-15 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.2 3B Instruct
$0.05
MiniMax-01
$0.20
Output Price per Million Tokens
Llama 3.2 3B Instruct
$0.33
MiniMax-01
$1.10
Want to test both models live?
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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 3B Instruct Quirks & Gotchas
No developer gotchas reported.
MiniMax-01 Quirks & Gotchas
No developer gotchas reported.