Where is the canonical page for GPT-4.1 Mini?

https://llmapi.ai/models/openai-gpt-4-1-mini/

Which providers serve GPT-4.1 Mini?

LLM.API currently lists: azure, openai. Availability can vary by region and account.

What are limitations of GPT-4.1 Mini?

Like other API models, GPT-4.1 Mini can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.

How do I call GPT-4.1 Mini via API?

Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "gpt-4.1-mini" and your LLM.API key. See the code snippet on this page.

What modalities does GPT-4.1 Mini support?

GPT-4.1 Mini accepts text, image and produces text according to its architecture metadata on LLM.API.

Can I use tools or structured outputs with GPT-4.1 Mini?

Tool and/or structured-output flags appear on one or more providers for this model—confirm in the providers table.

What is the context length for GPT-4.1 Mini?

Reported context for GPT-4.1 Mini is 1M tokens. Always verify the active provider row if multiple providers are listed.

Which endpoint do I call for GPT-4.1 Mini?

POST https://api.llmapi.ai/v1/chat/completions with model "gpt-4.1-mini" and your LLM.API key. The request and response bodies are OpenAI-compatible.

How do I switch from OpenAI to GPT-4.1 Mini on LLM.API?

Change two lines: set base_url to https://api.llmapi.ai/v1 and api_key to your LLM.API key. The rest of your OpenAI SDK code stays the same.

Does GPT-4.1 Mini support function calling and structured outputs?

Function calling: supported via tools. Structured outputs: supported via response_format.

GPT-4.1 Mini API: Endpoint & Pricing

GPT-4.1 Mini brings OpenAI conversational intelligence to LLM.API so teams can ship assistants and agents without juggling multiple vendor SDKs.

Start Using API

What is GPT-4.1 Mini?

On LLM.API, GPT-4.1 Mini (gpt-4.1-mini) serves as a OpenAI conversational model for products that need 1M tokens context windows and predictable token pricing. Compact version of GPT-4.1 with vision and tool support.

Can you self-host GPT-4.1 Mini?

No. We found no public weights for GPT-4.1 Mini on Hugging Face, so there is nothing to download, quantize or serve on your own GPUs: no VRAM budget, no vLLM or GGUF build to plan for. The only way to run it is over an API.

Skip the deploy — use LLM.API as your endpoint

No GPUs, no quantization trade-offs. Same model, OpenAI-compatible, with custom volume discounts on request.

Get API key See API code ↓

Providers

LLM.API routes GPT-4.1 Mini to the providers below, with discounted effective rates versus list price.

List price by provider

InputOutput

azure$0.4 in

$1.6 out

openai$0.4 in

$1.6 out

Provider list prices; the LLM.API discount applies on top.

Provider	Pricing	Context	Capabilities
azure	in $0.4; out $1.6 per 1M tokens	1M tokens	vision, tools, streaming, JSON, structured
openai	in $0.4; out $1.6 per 1M tokens	1M tokens	vision, tools, streaming, JSON, structured

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 11 Oct 2026.

Try this model

Test GPT-4.1 Mini right here — free to start.

GPT-4.1 Mini

Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call GPT-4.1 Mini through the OpenAI-compatible API — POST /v1/chat/completions.

Switching from OpenAI? Change 2 lines.

- base_url="https://api.openai.com/v1"
- api_key="YOUR_OPENAI_KEY"
+ base_url="https://api.llmapi.ai/v1"
+ api_key="YOUR_LLMAPI_KEY"

Everything else stays the same — SDK, message format, tools, streaming. Set model to gpt-4.1-mini and the call runs unchanged.

bash

curl https://api.llmapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $LLMAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4.1-mini",
    "messages": [
      {"role": "user", "content": "Give me three crisp launch checklist items."}
    ]
  }'

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_LLMAPI_KEY",
    base_url="https://api.llmapi.ai/v1",
)

resp = client.chat.completions.create(
    model="gpt-4.1-mini",
    messages=[
        {"role": "system", "content": "You are a precise product assistant."},
        {"role": "user", "content": "Give me three crisp launch checklist items."},
    ],
)
print(resp.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.LLMAPI_KEY,
  baseURL: "https://api.llmapi.ai/v1",
});

const resp = await client.chat.completions.create({
  model: "gpt-4.1-mini",
  messages: [
    { role: "user", content: "Give me three crisp launch checklist items." },
  ],
});

console.log(resp.choices[0].message.content);

stream = client.chat.completions.create(
    model="gpt-4.1-mini",
    messages=[{"role": "user", "content": "Write a haiku about latency."}],
    stream=True,
)

for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)

{
  "model": "gpt-4.1-mini",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

ENDPOINTS

Supported endpoints & features

Base URL https://api.llmapi.ai/v1 · model ID gpt-4.1-mini · OpenAI-compatible.

POST /v1/chat/completionsChat Completions — supported

Feature	Status	How to set it
Function calling (tools)	Supported	`tools, tool_choice`
Parallel tool calls	Not supported	`parallel_tool_calls`
JSON mode	Supported	`response_format: {"type": "json_object"}`
Structured outputs	Supported	`response_format: {"type": "json_schema", …}`
Streaming	Supported	`stream: true`
Vision (image input)	Supported	`image_url content parts`
Web search	Not supported	`web_search`

ERRORS

Errors & fallback routing

Code	What it means	What to do
`401`	Missing or invalid API key.	Send `Authorization: Bearer YOUR_LLMAPI_KEY` and check the key is active.
`429`	Rate limited, or the upstream provider is throttling the request.	Back off and retry with jitter; the gateway also retries the request on another provider where one is available.
`5xx`	Upstream provider error or timeout.	Retry; fallback routing sends the retry to the next healthy provider for this model.

When a provider fails or throttles, the request is routed to the next provider serving this model — the ones listed in the providers table above.

GPT-4.1 Mini in production

Best workloadsLLM.API features

What the model is good at.

Multilingual drafting
Drafts and translates professional content across major business languages. Relevant for `gpt-4.1-mini` workloads on LLM.API.
Safety-aware replies
Supports product policies with refusals and cautious handling of sensitive topics. Grounded in the model's chat role rather than generic chat claims.
Long-context synthesis
Summarizes and cross-references information across large prompts when context allows. Reflects OpenAI positioning for this endpoint.
Instruction following
Follows detailed system and user instructions with strong adherence to format and tone. Tuned to how teams typically call GPT-4.1 Mini.
Multi-step reasoning
Breaks down complex problems into intermediate steps before answering. Reflects OpenAI positioning for this endpoint.

What you get when you call GPT-4.1 Mini through LLM.API.

Unified AI Routing
Reach GPT-4.1 Mini and sibling models through one OpenAI-compatible endpoint.
One endpoint, every model.
Cost Control
Compare provider price points and keep spend visible as you scale GPT-4.1 Mini.
More performance, less spend.
Reliability Layer
Practical: Retry and route across configured providers when a single upstream blips.
Never go dark on users.
Observability
Trace prompts, tokens, and errors for GPT-4.1 Mini alongside the rest of your stack.
See every token, everywhere.
Drop-in SDKs
Production: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Think tasks, not models.
Model Breadth
Swap GPT-4.1 Mini for chat, media, or embedding alternatives without rewriting auth.
Scale from 1 to millions.

When to Use — When NOT to Use

Use it if...

You want OpenAI-compatible chat completions through a single LLM.API key (GPT-4.1 Mini)
You need a general-purpose text model for assistants, agents, or content workflows (GPT-4.1 Mini)
Your prompts benefit from the model's family strengths (reasoning, speed, or cost) (GPT-4.1 Mini)
You need provider failover options exposed for this model id (GPT-4.1 Mini)

Avoid if...

You require on-prem only deployment with no cloud inference
Your use case depends on unpublished proprietary benchmarks not listed here
You need pure embedding, OCR, or media generation instead of chat
You need guaranteed real-time hard latency SLAs without benchmarking the provider

LLM API rating for GPT-4.1 Mini

★ 3.9/ 5.0LLM API rating
50% production adoption · 30% category benchmark · 20% tooling & value✓ Verified benchmark · LMArena + Artificial Analysis

5.0Production adoptionTop 1% of production API volume

2.1Benchmark qualityArtificial Analysis Intelligence Index 10.2 · LMArena text rank #204, Elo 1341

3.8Developer ecosystemContext window, tool and JSON support, price against the category median

Reasoning & chat 3.9Coding 3.9Vision & multimodal 4.3Tool & function calling 4.8Long context 4.8

How is this rating calculated?

Every model gets a separate 1.0–5.0 score for each category it can be used in, so a model can rate high for coding and lower for vision. The score combines three parts:

Production adoption — 50%. How widely the model is actually used in production: provider traffic, LiteLLM and gateway usage, open-weight downloads and its LMArena rank. Proven, widely used models score highest.
Category benchmark — 30%. The public benchmark that matters for that category — the Artificial Analysis Intelligence Index and LMArena Elo for reasoning, LMArena coding Elo for coding, image and document support plus vision Elo for vision, tool and JSON support for function calling, measured speed for voice.
Tooling & value — 20%. Context window, support for tools, structured outputs and streaming, and price compared with the category median.

Scores of 4.0 and above are shown in green, 3.0–3.9 in yellow, below 3.0 in red. When a model has no public data for a part, it gets a neutral value instead of an invented number.

A “Verified benchmark” mark (✓) means an independent lab — LMArena or Artificial Analysis — has actually tested that model, and the source figure is shown. Models without that mark are labelled “Estimated from published specs”: the score comes from the published context window, tool and schema support, price and adoption only, because no independent lab has tested them yet.

One exception: a brand-new top-tier model that scores very high on the independent benchmarks but has no usage history yet is rated on the benchmark (60%) and tooling & value (40%) alone, so a missing adoption figure can't hold it back. All inputs come from public sources and are refreshed weekly.

Adoption and benchmark inputs come from public sources — LMArena, Artificial Analysis Intelligence Index and published model specs. Updated weekly.

BENCHMARKS

GPT-4.1 Mini benchmark scores

Intelligence index

This model10.

Tracked median8.

Scale: 0-100 index points

Output speed

This model109 t/s

Scale: 0-400 tokens per second

Reference price per 1M tokens

Input$0.40

Output$1.60

Bars compare input and output list prices for this model.

Intelligence index+25% vs median

GPT-4.1 Mini API: Endpoint & 30% Discount10

Median tracked model8

Higher is better. The median covers every model tracked by Artificial Analysis.

Output speed

109tok/s

Measured throughput; the full dial is 300 tokens per second.

Reference price / 1M tokens

Input$0.40

Output$1.60

Provider list prices, before the LLM.API discount.

Independent scores published by Artificial Analysis (source). Reference prices are provider list prices, not LLM.API pricing.

RELIABILITY

GPT-4.1 Mini uptime, last 30 days

30-Day Uptime

96.70%

Past Incidents (30d)

Error rate (24h)

9.27%

Last 30 days

26/30 days operational | 96.70% uptime

Availability tracked for this model. Full history on the LLM Uptime Status page or the status hub. LLM.API routes around provider outages automatically.

COMMUNITY

What developers say about OpenAI models

LMArena#204 · Elo 1341Arena coding#201 · Elo 1367Speed109 tokens/sSources: LMArena, Artificial Analysis

Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to GPT-4.1 Mini.

Long-horizon coding reports on GPT-6 Astra describe a clear step up over the GPT-5.x line, with the higher reasoning tiers seen as the sweet spot for planning and implementation in large (100K+ LOC) codebases.
The same field reports note that fast/ultra modes burn quota quickly and that very large refactors still stall, so teams tend to mix a cheap tier for routine calls with a reasoning tier for hard steps.
Community threads temper the hype: capability gains are acknowledged, but developers still report the usual failure modes on obscure reverse-engineering and modding work.

SOURCES

Frequently Asked Questions

Where is the canonical page for GPT-4.1 Mini?
https://llmapi.ai/models/openai-gpt-4-1-mini/
What is GPT-4.1 Mini?
Compact version of GPT-4.1 with vision and tool support. On LLM.API it is addressed as `gpt-4.1-mini`.
Which providers serve GPT-4.1 Mini?
LLM.API currently lists: azure, openai. Availability can vary by region and account.
What are limitations of GPT-4.1 Mini?
Like other API models, GPT-4.1 Mini can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.
How do I call GPT-4.1 Mini via API?
Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "gpt-4.1-mini" and your LLM.API key. See the code snippet on this page.
What modalities does GPT-4.1 Mini support?
GPT-4.1 Mini accepts text, image and produces text according to its architecture metadata on LLM.API.
Can I use tools or structured outputs with GPT-4.1 Mini?
Tool and/or structured-output flags appear on one or more providers for this model—confirm in the providers table.
What is the context length for GPT-4.1 Mini?
Reported context for GPT-4.1 Mini is 1M tokens. Always verify the active provider row if multiple providers are listed.

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GPT-4.1 Mini API: Endpoint & Pricing

What is GPT-4.1 Mini?

Can you self-host GPT-4.1 Mini?

Providers

Try this model

Code snippet

Supported endpoints & features

Errors & fallback routing

GPT-4.1 Mini in production

Multilingual drafting

Safety-aware replies

Long-context synthesis

Instruction following

Multi-step reasoning

Unified AI Routing

Cost Control

Reliability Layer

Observability

Drop-in SDKs

Model Breadth

When to Use — When NOT to Use

Use it if...

Avoid if...

LLM API rating for GPT-4.1 Mini

GPT-4.1 Mini benchmark scores

Intelligence index

Output speed

Reference price per 1M tokens

GPT-4.1 Mini uptime, last 30 days

Last 30 days

What developers say about OpenAI models

Frequently Asked Questions

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