GPT-4.1 Nano (batch)
OpenAI · Multimodal · Released Apr 2025
GPT-4.1 Nano (batch) is OpenAI's most compact text model, optimized for batch processing with a 1 million token context window.
- Strengths
- It handles high-throughput text tasks efficiently, delivering fast inference on simple classification and routing workloads at the lowest computational cost.
- Best for
- Classification, routing, and extraction tasks running asynchronously where latency is not a constraint and throughput efficiency matters most.
- Limitations
- It lacks the reasoning depth and multimodal capabilities of larger models, making it unsuitable for complex analysis, creative work, or tasks requiring image input; batch processing also introduces processing delays.
Input / 1M
$0.05
Output / 1M
$0.2
Cached input / 1M
$0.0125
Context window
1.05M
Price history
Snapshots
| Effective | Input | Output | Cached in | Note | Source |
|---|---|---|---|---|---|
| 6 Aug 2026 | $0.05 | $0.2 | $0.0125 | Imported from OpenRouter | openrouter.ai |