Llama 3.2 1B 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 1B Instruct and MiniMax-01.
Llama 3.2 1B Instruct
Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...
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 1B 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 1B Instruct
$0.03
MiniMax-01
$0.20
Output Price per Million Tokens
Llama 3.2 1B Instruct
$0.20
MiniMax-01
$1.10
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
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 1B Instruct Quirks & Gotchas
No developer gotchas reported.
MiniMax-01 Quirks & Gotchas
No developer gotchas reported.