openai-responses/gpt-5.4
Microsoft Azure AI/@swedencentral/chat
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling high-context reasoning, coding, and multimodal analysis within the same workflow. The model delivers improved performance in coding, document understanding, tool use, and instruction following. It is designed as a strong default for both general-purpose tasks and software engineering, capable of generating production-quality code, synthesizing information across multiple sources, and executing complex multi-step workflows with fewer iterations and greater token efficiency. MoreLess
Which id to call
azure/openai-responses/gpt-5.4@swedencentralThis exact deployment on Microsoft Azure AI in swedencentral, with no routing and no failover. Send it as the model field.
Input /1M
$2.75
$0.28 cached
Output /1M
$16.50
6.0x input
Context
1.1M
128K output
Paid /1M
$1.54
measured, cache included
Capabilities 6/8
Provider rates
What openai-responses/gpt-5.4 costs
Provider prices per 1M tokens, updated September 5, 2026.moreless
These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.
Input /1M
$2.75
Output /1M
$16.50
Cache write /1M
-
Cache read /1M
$0.28
What a workload costs
- 100K input + 10K output
- $0.44
- 1M input + 100K output
- $4.40
- 10M input + 1M output
- $44.00
At the rates above, before caching. A cache read costs $0.28 per 1M, so repeated context lands under these figures.
model=
Which id to call
One base url, https://router.requesty.ai/v1, and one key for every id here.
azure/openai-responses/gpt-5.4@swedencentralThis exact deployment on Microsoft Azure AI in swedencentral, with no routing and no failover. Send it as the model field.
OpenAI compatible
Call it in three lines
Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.
123456789101112131415from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="azure/openai-responses/gpt-5.4@swedencentral", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
Live from production
Microsoft Azure AI on openai-responses/gpt-5.4, measured
What this provider was measured doing on openai-responses/gpt-5.4 across Requesty traffic.moreless
Whole-window figures, because that is the grain published per provider. They cover Microsoft Azure AI serving this model in every region it serves it from, so a region-pinned deployment shares them with its siblings. A figure is absent where no qualifying sample exists.
First token
853ms
median
p95 wait
2.79s
slowest 5%
Output speed
81/s
median tokens
Paid /1M
$1.54
blended, cache included
Cache hit
58.7%
of input tokens
Compare these against the other 3 providers serving gpt-5.4.
Reference
Specs and data terms
What the catalog reports for this deployment, and what the provider does with the traffic.
Released 2026-03-05
Benchmark scores
Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.
Artificial Analysis Coding Index: a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.
Graduate-level physics, chemistry & biology questions designed to resist Googling.
Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.
Scores from official model cards, Artificial Analysis and public leaderboards. They measure specific skills and do not capture every aspect of model quality, so test on your own workload.
Same provider
More from Microsoft Azure AI
Newest first, on the same provider and the same key.
Reference
openai-responses/gpt-5.4 questions
How much does openai-responses/gpt-5.4 cost?
openai-responses/gpt-5.4 is priced at $2.75 per million input tokens and $16.50 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.
What is the context window of openai-responses/gpt-5.4?
openai-responses/gpt-5.4 has a context window of 1.1M tokens, with a maximum output of 128K tokens per response. That's roughly 1,400 words of input you can fit in a single prompt.
How does openai-responses/gpt-5.4 perform on benchmarks?
openai-responses/gpt-5.4 scores 92.0% on GPQA Diamond, 87.1% on τ²-Bench, 71.1% on Coding Index. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can openai-responses/gpt-5.4 do?
openai-responses/gpt-5.4 supports vision input, tool calling, extended reasoning, prompt caching, web search, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use openai-responses/gpt-5.4 with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "azure/openai-responses/gpt-5.4@swedencentral". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run openai-responses/gpt-5.4 through Requesty?
Yes. openai-responses/gpt-5.4 runs through Requesty's OpenAI-compatible API, served from Microsoft Azure AI in swedencentral. You do not host the model yourself: point base_url at Requesty, set the model to "azure/openai-responses/gpt-5.4@swedencentral", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.
What region is this deployment?
This variant of openai-responses/gpt-5.4 is deployed in swedencentral. Region-specific endpoints matter for data residency, latency to your users, and compliance requirements (GDPR, HIPAA). Other regions for the same model may be listed on the Microsoft Azure AI provider page.
Call openai-responses/gpt-5.4 through one endpoint
One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.