GPT-4.1 Nano vs Llama 3.2 1B Instruct
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 GPT-4.1 Nano and Llama 3.2 1B Instruct.
GPT-4.1 Nano
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
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...
Technical Specifications
| Specification | GPT-4.1 Nano | Llama 3.2 1B Instruct |
|---|---|---|
| Provider | OpenAI | Meta |
| Context Window | 1,047,576 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2025-04-14 | 2024-09-25 |
API Pricing Comparison
Input Price per Million Tokens
GPT-4.1 Nano
$0.10
Llama 3.2 1B Instruct
$0.03
Output Price per Million Tokens
GPT-4.1 Nano
$0.40
Llama 3.2 1B Instruct
$0.20
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.
GPT-4.1 Nano Quirks & Gotchas
No developer gotchas reported.
Llama 3.2 1B Instruct Quirks & Gotchas
No developer gotchas reported.