GPT-4.1 nano
AI model by OpenAI. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. GPT-4.1 nano is a budget-tier option from OpenAI at $0.40/M output tokens. Despite the low price, it scores competitively on Coding Index (11.1) and Intelligence Index (9.6) — making it a candidate for high-volume production workloads where unit cost dominates.
Latency. On latency, GPT-4.1 nano reports 143 tok/s output speed and 710ms time-to-first-token. Output speed is in the normal range — most chat and completion applications will be token-bound, not streaming-bound.
Cost model. For a workload of 1M input tokens + 100K output tokens, GPT-4.1 nano costs $0.14 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-24.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
GPT-4.1 nanoCurrent | $0.10 | $0.40 | 143 tok/s |
| Gemini 2.5 Flash-Lite (Non-reasoning) | $0.10 | $0.40 | 232 tok/s |
| Hermes 4 - Llama-3.1 70B (Non-reasoning) | $0.13 | $0.40 | 56 tok/s |
| Llama Nemotron Super 49B v1.5 (Non-reasoning) | $0.40 | $0.40 | 90 tok/s |
| GLM-4.7-Flash (Reasoning) | $0.07 | $0.40 | 93 tok/s |
| Jamba 1.5 Mini | $0.20 | $0.40 | — |