GPT-4o (“o” stands for “omni”) is a new-generation multimodal model designed for more natural human–computer interaction. It can accept any combination of text, audio, image, and video as input, and generate multimodal outputs including text, audio, and images. With audio response latency as low as 232 milliseconds on average around 320 milliseconds, it approaches real human conversational speed. The model delivers strong performance in English text and code, significantly improved multilingual understanding, and outstanding capabilities in visual and audio perception, while offering faster API performance and substantially reduced cost for real-time and complex multimodal applications.
gpt-4o vs gpt-4o-free
Context lengths are 128,000 tokens on gpt-4o and 1,047,576 tokens on gpt-4o-free. Time to first token (TTFT) measured on AIHubMix is 0.6s on gpt-4o and 0.5s on gpt-4o-free. Measured output throughput is 52.2 tok/s on gpt-4o and 72.3 tok/s on gpt-4o-free. On the LMArena coding leaderboard gpt-4o scores 1360 and gpt-4o-free scores 1360.
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".
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
LMArena Benchmarks
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.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
How do their coding arena scores compare?
gpt-4o-free: 1360; gpt-4o: 1360 (LMArena coding leaderboard).
Which responds faster?
gpt-4o-free: 0.5s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
gpt-4o accepts 128,000 and gpt-4o-free accepts 1,047,576 input tokens. Maximum output per request is 16,384 tokens on gpt-4o and 32,768 tokens on gpt-4o-free.
Which one generates tokens faster?
gpt-4o-free at 72.3 tok/s and gpt-4o at 52.2 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
gpt-4o accepts text and image input and supports tool calling, function calling and structured outputs; gpt-4o-free accepts text and image input and supports tool calling, function calling, structured outputs and long context.
Can I call gpt-4o and gpt-4o-free with the same API key?
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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