Atlas / Models / OpenAI / OpenAI: GPT-5 Pro (batch)

OpenAI: GPT-5 Pro (batch)✓ Catalog verified

openai/gpt-5-pro:batch

GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...

Input price
$7.50 /1M
Output price
$60.00 /1M
Context
400K
Modalities
imagetextfile
Released
Oct 6, 2025
Tool calling
✓ Yes
Atlas signal
90/100
01

Overview

GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...

Access: available through the official OpenAI API. Context window: 400K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 7, 2026
02

Specifications

API identifieropenai/gpt-5-pro:batch
ProviderOpenAI
Model typeMultimodal LLM
Context window400K catalog
Input modalitiesimage · text · file
Output modalitiestext
ReleasedOct 6, 2025
TokenizerGPT
ModeratedYes
Architecture modalitytext+image+file->text
Supported parameters
include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedstructured_outputstool_choicetools
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_p": null,
  "temperature": null,
  "frequency_penalty": null
}
03

Pricing

Live pricing components for openai/gpt-5-pro:batch as published in the catalog.

$7.50
Input /1M
$60.00
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$0.0000075$7.50 / 1MPer input token
Completion tokens$0.00006$60.00 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search fee$0.01$0.010000Per search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$15.75Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual Understanding✓ SupportedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

OpenAI: GPT-5 Pro (batch)
MMLU Signal (Reasoning)
97signal
Coding Signal (HumanEval proxy)
97signal
Math Signal (GSM8K proxy)
83signal
Science Signal (GPQA proxy)
83signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call OpenAI: GPT-5 Pro (batch) through an OpenAI-compatible client.

from openai import OpenAI

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

response = client.chat.completions.create(
    model="openai/gpt-5-pro:batch",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does OpenAI: GPT-5 Pro (batch) cost?

$7.50 per 1M input tokens and $60.00 per 1M output tokens on the official OpenAI API.

What is the context window of OpenAI: GPT-5 Pro (batch)?

OpenAI: GPT-5 Pro (batch) supports up to 400K tokens of context.

Does OpenAI: GPT-5 Pro (batch) support tool / function calling?

Yes, OpenAI: GPT-5 Pro (batch) supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access OpenAI: GPT-5 Pro (batch)?

Use the official OpenAI API with the model id `openai/gpt-5-pro:batch`. See the Quick start section above for code examples.