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OpenAI · Balanced

GPT 5 Pro

Added Oct 6, 2025

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Use in the app

The highest performing version of the flagship model GPT 5 by OpenAI.

  • Reasoning
  • Vision
Input
Text, Images
Output
Text
Reasoning effort
high
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$15.00
Output
$120.00
Cache read
$1.50

Reference prices as published by the model provider. API example

Specifications

Context window
400K
Max output
128K
Average output (7 days)
90 tokens
Longer than 8% of 468 models

Side by side

GPT 5 Pro compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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GPT 5 ProOpenAIThis modelGPT 6.1 Sol ProOpenAIRemove
ProviderOpenAIOpenAI
Discovery tierBalancedFrontier
AddedOct 6, 2025Sep 29, 2026
Limits
Context window400K1.05MBest
Max output128K128K
Average output90 tokens1.2K tokens
Pricing, USD per 1M tokens
Input$15.00$2.00Best
Output$120.00$10.00Best
Cache read$1.50$0.10Best
Cache write—$2.50
Performance
Throughput—986.2 tok/s
Time to first token—11.2 s
Request success (24h)—100.0%
Capabilities
ReasoningYesYes
ToolsNoYes
VisionYesYes
Structured outputNoYes
PDF inputNoYes
Reasoning efforthighlow, medium, high, xhigh, max

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-5-pro",
    "reasoning_effort": "high",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="openai/gpt-5-pro",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

OpenAI

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