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openai-responses/gpt-5.4

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.

👁Vision🧠Reasoning🔧Tool calling⚡Caching
Try openai-responses/gpt-5.4CompareDocs

Specifications

Context window1.1M tokens
Max output128K tokens
API typechat
AddedDec 11, 2025
Model IDazure/openai-responses/gpt-5.4@francecentral
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US / 🇪🇺 EU
Privacy policyMicrosoft Privacy Statement →

Benchmarks

Released 2026-03
SWE-Bench Verifiedcoding
82.1%

Resolving real GitHub issues from 12 popular Python repositories.

GPQA Diamondreasoning
86.5%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

MMLU Proknowledge
91.2%

Massive Multitask Language Understanding across 57 academic subjects.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality — always test on your own workload.

Pricing

Input / 1M
$2.50
Output / 1M
$15.00
Cache write / 1M
$2.50
Cache read / 1M
$0.25
Estimated cost
100K input + 10K output$0.40
1M input + 100K output$4.00
10M input + 1M output$40.00

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to azure/openai-responses/gpt-5.4@francecentral.

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from 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@francecentral",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other Microsoft Azure AI models

gpt-5.4
@swedencentral
1.1M ctx$2.50/1M
SWE-Bench 82%
gpt-5.4
@eastus2
1.1M ctx$2.50/1M
SWE-Bench 82%
gpt-5.4
@francecentral
1.1M ctx$2.50/1M
SWE-Bench 82%
gpt-5.5
@eastus2
1.1M ctx$5.00/1M
openai-responses/gpt-5.5
@eastus2
1.1M ctx$5.00/1M
gpt-5.5
@swedencentral
1.1M ctx$5.00/1M

Frequently asked questions

How much does openai-responses/gpt-5.4 cost?
openai-responses/gpt-5.4 is priced at $2.50 per million input tokens and $15.00 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. Requesty charges exactly what the upstream provider charges — we don't add markup.
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 96.5% on MATH, 96.4% on HumanEval, 94.8% on AIME 2024. 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. 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@francecentral". The Quickstart above shows Python, JavaScript and cURL snippets.
What region is this deployment?
This variant of openai-responses/gpt-5.4 is deployed in francecentral. 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.

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