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gpt-5.1

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning to allocate computation dynamically, responding quickly to simple queries while spending more depth on complex tasks. The model produces clearer, more grounded explanations with reduced jargon, making it easier to follow even on technical or multi-step problems. Built for broad task coverage, GPT-5.1 delivers consistent gains across math, coding, and structured analysis workloads, with more coherent long-form answers and improved tool-use reliability. It also features refined conversational alignment, enabling warmer, more intuitive responses without compromising precision. GPT-5.1 serves as the primary full-capability successor to GPT-5

πŸ‘Vision🧠ReasoningπŸ”§Tool calling⚑Caching
Try gpt-5.1CompareDocs

Specifications

Context window200K tokens
Max output100K tokens
API typechat
AddedNov 26, 2025
Model IDazure/gpt-5.1
Data retentionNo
Used for trainingNo
Provider locationπŸ‡ΊπŸ‡Έ US / πŸ‡ͺπŸ‡Ί EU
Privacy policyMicrosoft Privacy Statement→

Benchmarks

Released 2025-11
SWE-Bench Verifiedcoding
76.8%

Resolving real GitHub issues from 12 popular Python repositories.

GPQA Diamondreasoning
83.2%

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

MMLU Proknowledge
89.4%

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 β€” always test on your own workload.

Pricing

Input / 1M
$1.25
Output / 1M
$10.00
Cache write / 1M
$10.00
Cache read / 1M
$0.13
Estimated cost
100K input + 10K output$0.23
1M input + 100K output$2.25
10M input + 1M output$22.50

Requesty charges exactly what the upstream provider charges β€” 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/gpt-5.1.

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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/gpt-5.1",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

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

Frequently asked questions

How much does gpt-5.1 cost?
gpt-5.1 is priced at $1.25 per million input tokens and $10.00 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 β€” we don't add markup.
What is the context window of gpt-5.1?
gpt-5.1 has a context window of 200K tokens, with a maximum output of 100K tokens per response. That's roughly 267 words of input you can fit in a single prompt.
How does gpt-5.1 perform on benchmarks?
gpt-5.1 scores 94.8% on MATH, 94.7% on HumanEval, 90.1% 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 gpt-5.1 do?
gpt-5.1 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 gpt-5.1 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/gpt-5.1". The Quickstart above shows Python, JavaScript and cURL snippets.

Access gpt-5.1 through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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