Llama 3.2 3B Instruct vs MiniMax M1
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 M1.
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 M1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Technical Specifications
| Specification | Llama 3.2 3B Instruct | MiniMax M1 |
|---|---|---|
| Provider | Meta | MiniMax |
| Context Window | 131,072 tokens | 1,000,000 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 | 2025-06-17 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.2 3B Instruct
$0.05
MiniMax M1
$0.40
Output Price per Million Tokens
Llama 3.2 3B Instruct
$0.33
MiniMax M1
$2.20
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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 M1 Quirks & Gotchas
No developer gotchas reported.