Llama 3.2 3B Instruct vs MiniMax M3
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 M3.
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 M3
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
Technical Specifications
| Specification | Llama 3.2 3B Instruct | MiniMax M3 |
|---|---|---|
| Provider | Meta | MiniMax |
| Context Window | 131,072 tokens | 1,048,576 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 | 2026-05-31 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.2 3B Instruct
$0.05
MiniMax M3
$0.30
Output Price per Million Tokens
Llama 3.2 3B Instruct
$0.33
MiniMax M3
$1.20
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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 M3 Quirks & Gotchas
No developer gotchas reported.