openai

OpenAI: GPT-4.1 (batch)

openai/gpt-4.1:batch

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

OpenRouter lists openai/gpt-4.1:batch as OpenAI's GPT-4.1 batch variant, with text, image, and file inputs producing text. Its catalog entry reports a 1,047,576-token context window, support for tools and structured outputs, and a knowledge cutoff of June 30, 2024. OpenRouter describes the model as oriented toward instruction following, software engineering, and long-context reasoning, while also publishing Design Arena results. These are catalog-reported details and measured arena outcomes, not workload-specific validation.[1]

Strengths

Catalog-reported 1,047,576-token context window for long inputs.[1]
Accepts text, image, and file inputs and emits text.[1]
Exposes tool calling and structured output controls.[1]

Limitations

Only OpenRouter catalog evidence was supplied; an independent model card and batch-specific details were unavailable.[1]
The catalog lists a knowledge cutoff of June 30, 2024.[1]
Design Arena measurements cover selected categories and do not establish performance for a particular workload.[1]

Where to use it

Consider for long-document or code-related workflows when the cataloged context capacity matters; validate with representative inputs.[1]
May fit assistants that combine text, image, or file inputs and return text.[1]
Possible choice for applications needing tool invocation or structured responses, subject to integration testing.[1]

Sources

[1] OpenRouter catalog · OpenAI: GPT-4.1 (batch)Sources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...

Specifications

Model ID: openai/gpt-4.1:batch
Canonical ID: openai/gpt-4.1-2025-04-14
Creator: openai
Added to OpenRouter: 14.04.2025
Context length: 1,047,576
Modality: text+image+file->text
Input modalities: image, text, file
Output modalities: text
Token pricing: USD per 1M tokens: in $1 / out $4
Knowledge cutoff: 30.06.2024
Expiration date: —

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

Task	Grade	Source-declared capability
General quality	No measurement	—
Coding	No measurement	—
Agents	No measurement	parameters: structured_outputs, tool_choice, tools
Writing	No measurement	output: text
Reasoning	No measurement	—
Document analysis	No measurement	input: file
Vision	No measurement	input: image
Image generation	No measurement	—
Audio	No measurement	—
Video	No measurement	—
Embeddings	No measurement	—

Evaluations

Source	Benchmark	Value	Grade	Data retrieved
Design Arena	models · 3dwin rate 30.9% · rank 134	833Elo	CC — below the B band	13.11.2026
Design Arena	models · codecategorieswin rate 50.9% · rank 127	1,016Elo	CC — below the B band	13.11.2026
Design Arena	models · datavizwin rate 59.5% · rank 99	1,104Elo	CC — below the B band	13.11.2026
Design Arena	models · gamedevwin rate 59.1% · rank 109	1,070Elo	CC — below the B band	13.11.2026
Design Arena	models · uicomponentwin rate 49.7% · rank 123	991Elo	CC — below the B band	13.11.2026
Design Arena	models · websitewin rate 52.3% · rank 128	1,031Elo	CC — below the B band	13.11.2026

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

S — S — top 10% of the cohort
A — A — next 20% of the cohort
B — B — next 30% of the cohort
C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
OpenAI	1,047,576	$1	$4	—	—	—

Provider data retrieved: 13.11.2026

No published articles identify this model yet.