OpenAI: GPT-5.4 Nano

llm.buzz and OpenAI tie for the cheapest, and llm.buzz is the fastest provider of this model. OpenAI costs the same as a provider on the line, for less speed.

All benchmarks Model page Try in Playground

Live providers: 2; Same model, one API
Cheapest: $0.4625 blended; llm.buzz
Fastest output: 193 tok/s; llm.buzz
Quickest first token: 0.69 s; OpenAI
Best uptime: 100%; OpenAI

llm.buzz and OpenAI tie for the cheapest OpenAI: GPT-5.4 Nano, at $0.4625 per million tokens blended.
llm.buzz serves OpenAI: GPT-5.4 Nano fastest, at 193 tok/s (median over 24 hours).
OpenAI starts answering OpenAI: GPT-5.4 Nano quickest, first token in 0.69 s (median over 24 hours).
OpenAI has the best uptime for OpenAI: GPT-5.4 Nano, 100% over 72 hours.

ModelCompare with

Output speedtok/s, median over 24 h, higher is better

llm.buzz193 tok/s

OpenAI161 tok/s

First tokenseconds, median over 24 h, lower is better

OpenAI0.69 s

llm.buzz1.20 s

Blended price$ per 1M tokens, lower is better

llm.buzz$0.4625

OpenAI$0.4625

2 providers

Providers with their prices and measured figures. Select a column header to sort by it.

llm.buzz	$0.4625	$0.20	$1.25	193 tok/stest	1.20 stest	84.2%test
OpenAI	$0.4625	$0.20	$1.25	161 tok/stest	0.69 stest	100%test

Speed against priceOutput speed in tok/s (median over 24 h), against the blended pricenobody beats these on both price and speed

080160240$0.30$0.40$0.50$0.60$0.70

llm.buzz$0.4625 blended, 193 tok/s

OpenAI$0.4625 blended, 161 tok/s

Blended price, $ per million tokens (3 input to 1 output)

Customer traffic on this model is still below the publishing floor, so its figures are from llm.buzz's test requests, tagged "test".

The last 24 hours, by hour

Last 24 hours, from llm.buzz's test requests

Output speed, tok/s

llm.buzz193 tok/s
OpenAI161 tok/s

Data table

Provider	From (UTC)	p50	p90	p99
llm.buzz	Oct 26, 08:00	161 tok/s	161 tok/s	161 tok/s
llm.buzz	Oct 26, 12:00	193 tok/s	193 tok/s	193 tok/s
llm.buzz	Oct 26, 17:00	193 tok/s	193 tok/s	193 tok/s
llm.buzz	Oct 26, 22:00	232 tok/s	232 tok/s	232 tok/s
llm.buzz	Oct 27, 02:00	193 tok/s	193 tok/s	193 tok/s
llm.buzz	Last 24 hours	193 tok/s	161 tok/s	161 tok/s
OpenAI	Oct 26, 07:00	161 tok/s	161 tok/s	161 tok/s
OpenAI	Oct 26, 11:00	193 tok/s	193 tok/s	193 tok/s
OpenAI	Oct 26, 16:00	112 tok/s	112 tok/s	112 tok/s
OpenAI	Oct 26, 20:00	134 tok/s	134 tok/s	134 tok/s
OpenAI	Oct 27, 00:00	161 tok/s	161 tok/s	161 tok/s
OpenAI	Oct 27, 04:00	161 tok/s	161 tok/s	161 tok/s
OpenAI	Last 24 hours	161 tok/s	112 tok/s	112 tok/s

Time to first token

llm.buzz1.20 s
OpenAI0.69 s

Data table

Provider	From (UTC)	p50	p90	p99
llm.buzz	Oct 26, 08:00	1.20 s	1.20 s	1.20 s
llm.buzz	Oct 26, 12:00	1.44 s	1.44 s	1.44 s
llm.buzz	Oct 26, 17:00	1.20 s	1.20 s	1.20 s
llm.buzz	Oct 26, 22:00	1.00 s	1.00 s	1.00 s
llm.buzz	Oct 27, 02:00	1.20 s	1.20 s	1.20 s
llm.buzz	Last 24 hours	1.20 s	1.44 s	1.44 s
OpenAI	Oct 26, 07:00	0.58 s	0.58 s	0.58 s
OpenAI	Oct 26, 11:00	0.69 s	0.69 s	0.69 s
OpenAI	Oct 26, 16:00	1.44 s	1.44 s	1.44 s
OpenAI	Oct 26, 20:00	1.00 s	1.00 s	1.00 s
OpenAI	Oct 27, 00:00	0.69 s	0.69 s	0.69 s
OpenAI	Oct 27, 04:00	0.83 s	0.83 s	0.83 s
OpenAI	Last 24 hours	0.69 s	1.44 s	1.44 s

Uptime

Last 72 hours, by hour

Best provider 100%

This model

llm.buzz

OpenAI

Up: 95% or more served
Degraded: 85% to 95%
Down: below 85%
No data
From llm.buzz's test requests

How we measure

Speed and first tokenOutput speed and time to first token are medians over the last 24 hours, per provider, from text requests.
UptimeThe share of attempts the provider served over the 72 hours before the figures' end, provider failures counted against it.
Two sourcesCustomer traffic once enough organizations count toward a figure; below that, llm.buzz's test requests, short streamed requests sent to every live provider. The tables tag those "test".
PriceEach provider's price per million tokens, with a running discount applied. The blended price weighs input and output 3 to 1, a chat request's usual mix.

Let the router pickName the model; llm.buzz sends each request to a provider and moves to the next when one fails.

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