Context lengths are 1,047,576 tokens on gpt-4.1-nano and 1,047,576 tokens on gpt-4.1-nano-free. Time to first token (TTFT) measured on AIHubMix is 0.8s on gpt-4.1-nano and 0.3s on gpt-4.1-nano-free. Measured output throughput is 72.7 tok/s on gpt-4.1-nano and 109.6 tok/s on gpt-4.1-nano-free. On the LMArena coding leaderboard gpt-4.1-nano scores 1374 and gpt-4.1-nano-free scores 1374.
gpt-4.1-nanogpt-4.1-nano-freeUltra-lightweight model with million-token context, optimized for speed and low latency, costing only $0.10 per million input tokens. It is suitable for edge computing and real-time interaction. The automatic caching mechanism offers a 75% cost reduction on cache hits.
This free model API comes from the OpenAI model deployed on Azure. To prevent abuse, the external content filter provided by Azure has been enforced, which will result in additional delays. If you want to experience the full version of the model API without filters, please use the paid version and request the model name ID without "-free".
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
gpt-4.1-nano-free: 1374; gpt-4.1-nano: 1374 (LMArena coding leaderboard).
gpt-4.1-nano-free: 0.3s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
gpt-4.1-nano accepts 1,047,576 and gpt-4.1-nano-free accepts 1,047,576 input tokens. Maximum output per request is 32,768 tokens on gpt-4.1-nano and 32,768 tokens on gpt-4.1-nano-free.
gpt-4.1-nano-free at 109.6 tok/s and gpt-4.1-nano at 72.7 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
gpt-4.1-nano accepts text and image input and supports tool calling, function calling, structured outputs and long context; gpt-4.1-nano-free accepts text and image input and supports tool calling, function calling, structured outputs and long context.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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