What is GPT-5's context window?

GPT-5 supports a context window of 256,000 tokens, allowing you to process large documents and maintain long conversations.

How to use GPT-5 API via Ofox?

Simply set your base URL to https://api.ofox.io/v1 and use your Ofox API key. The API is OpenAI-compatible — just change the base URL and API key in your existing code.

GPT-5

Name: GPT-5
Brand: openai
Price: 1.25 USD
Availability: InStock

Chat-20%

openai/gpt-5

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GPT-5 is OpenAI's next-generation flagship model, released on 2025-08-07, with advanced multimodal capabilities and state-of-the-art general performance. It supports reasoning, vision, audio and video input, tool use (function calling), prompt caching, and web search, making it well suited to agentic workflows. Context: 256K tokens, output: 64K. Accessible via the OpenAI-compatible protocol through Ofox.

Context Window

256K

Max Output Tokens

66K

Released

2025-08-07

Capabilities

VisionFunction CallingReasoningPrompt CachingWeb SearchAudio InputVideo Input

Available Providers

Azure

Supported Protocols

openai

Providers

Azureprovider.type: "azure_foundry"

-20%

Input Tokens

$1/M

$1.25/M

Output Tokens

$8/M

$10/M

Cache Read

$0.104/M

$0.13/M

Output Image

$25.6/M

$32/M

Web Search

$0.035/R

Protocols

openai/v1/chat/completions/v1/responses

Playground

Open in OfoxChat

Code Examples

from openai import OpenAI

client = OpenAI(
    base_url="https://api.ofox.io/v1",
    api_key="YOUR_OFOX_API_KEY",
)

response = client.chat.completions.create(
    model="openai/gpt-5",
    messages=[
        {"role": "user", "content": "Hello!"}
    ],
)

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

Uptime & Status

Benchmarks

LMArena ↗Evaluated as gpt-5-high

GPT-5 scores 1434 in the Overall category of the LMArena text leaderboard (style control), ranking #75 of 374 models based on 31,905 human preference votes (updated 2026-07-12).

Benchmark scores for gpt-5-high on LMArena
Category	Arena Score	95% CI	Rank	Votes
Overall	1434	1429–1438	#75 of 374	31,905
Hard Prompts	1446	1440–1452	#88 of 374	14,984
Coding	1468	1460–1476	#91 of 369	6,356
Math	1434	1421–1448	#69 of 362	1,885
Creative Writing	1375	1365–1384	#119 of 372	4,250
Instruction Following	1410	1403–1417	#97 of 374	8,263
Chinese	1454	1438–1470	#96 of 344	1,596

Source: LMArena · CC BY 4.0 · Updated 2026-07-12 · Methodology ↗ · Ranks compare models within each category of the LMArena text leaderboard (style control). Scores come from third-party human preference evaluations, not from OFOX.