That's NeuralModel catalog

openai

OpenAI: GPT-4o (batch)

openai/gpt-4o:batch

Our take

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

OpenRouter’s catalog entry for openai/gpt-4o:batch presents an OpenAI model variant that accepts text, image, and file inputs and returns text. The listing reports a large context window and support for tools, structured output, response formatting, and related generation controls. Only catalog metadata and limited design-preference measurements were supplied; no independent model card was available. The batch designation should not be treated as proof of a specific latency, throughput, or workflow benefit without workload validation.[1]

Strengths

  • OpenRouter reports text, image, and file inputs with text output.[1]
  • Tool calls, structured outputs, response formats, web-search options, and generation controls are reported.[1]
  • A large context window is listed for substantial input processing.[1]

Limitations

  • Evidence comes solely from OpenRouter’s catalog; an independent model card was not available in this source pack.[1]
  • The catalog lists an October 2023 knowledge cutoff, so current-information needs should be validated.[1]
  • The batch variant’s practical latency, throughput, reliability, and workload fit are not documented in the supplied evidence.[1]

Where to use it

  • Editorial suggestion: evaluate for mixed text, image, and file workflows that require text responses.[1]
  • Editorial suggestion: consider for structured generation, tool-assisted applications, or constrained response pipelines.[1]
  • Editorial suggestion: pilot for long-context document review or multimodal processing, subject to workload testing.[1]

Sources

  1. [1] OpenRouter catalog · OpenAI: GPT-4o (batch)Sources checked: Nov 13, 2026

About this model

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

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...

Specifications

Model ID
openai/gpt-4o:batch
Canonical ID
openai/gpt-4o
Creator
openai
Added to OpenRouter
13.05.2024
Context length
128,000
Modality
text+image+file->text
Input modalities
text, image, file
Output modalities
text
Token pricing
USD per 1M tokens: in $1.25 / out $5
Knowledge cutoff
31.10.2023
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.

TaskGradeSource-declared capability
General qualityNo measurement—
CodingNo measurement—
AgentsNo measurementparameters: structured_outputs, tool_choice, tools
WritingNo measurementoutput: text
ReasoningNo measurement—
Document analysisNo measurementinput: file
VisionNo measurementinput: image
Image generationNo measurement—
AudioNo measurement—
VideoNo measurement—
EmbeddingsNo measurement—

Evaluations

SourceBenchmarkValueGradeData retrieved
Design Arenamodels · 3dwin rate 39.2% · rank 131852EloCC — below the B band13.11.2026
Design Arenamodels · codecategorieswin rate 34.8% · rank 144851EloCC — below the B band13.11.2026
Design Arenamodels · datavizwin rate 36% · rank 134858EloCC — below the B band13.11.2026
Design Arenamodels · gamedevwin rate 42.3% · rank 139897EloCC — below the B band13.11.2026
Design Arenamodels · uicomponentwin rate 38.1% · rank 139876EloCC — below the B band13.11.2026
Design Arenamodels · websitewin rate 31.5% · rank 149824EloCC — below the B band13.11.2026
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.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
OpenAI128,000$1.25$5———

Provider data retrieved: 13.11.2026

No published articles identify this model yet.