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GPT-4o (Azure)

by Azure OpenAI · Released 2024

OpenAI GPT-4o served on Microsoft Azure for enterprise reliability and data residency. Multimodal (text + vision), 128K context, fast streaming.

LLM Chat

GPT-4o (Azure)

Powered by Azure OpenAI · Multimodal transformer (OpenAI GPT-4o), hosted on Azure OpenAI Service

Context Window

128K

Parameters

Not disclosed

Max Output

16K

Category

LLM Chat

Overview

GPT-4o ("o" for omni) is OpenAI's flagship multimodal model, here served through Microsoft Azure OpenAI Service rather than the OpenAI API directly. The Azure deployment gives the same model weights and quality with Azure's enterprise guarantees: regional data residency (this deployment runs in Sweden Central), Azure-grade SLAs, private networking options, and integrated content safety filtering. GPT-4o accepts both text and image input and returns text, with a 128K-token context window and strong general-purpose performance across reasoning, coding, and instruction-following.

Routing through CallMissed, you call it with the model id `azure/gpt-4o` on the same OpenAI-compatible `/v1/chat/completions` endpoint you use for every other model — streaming, tool/function calling, and vision all work identically. Because it is billed through Azure first-party metering, GPT-4o on Azure is a strong default for production workloads that need a dependable, multimodal frontier model with enterprise compliance posture.

Pricing

MetricPrice
Input /1M tokens₹250.0000
Output /1M tokens₹1000.0000

1 credit = ₹1 = $0.01 USD. Prices shown from provider; CallMissed passes through with ~35% markup.

Key Highlights

  • Multimodal — text + image input, text output
  • Hosted on Azure (Sweden Central) with enterprise SLAs + data residency
  • 128K context window
  • Drop-in OpenAI-compatible API — streaming, tools, vision

Benchmarks

BenchmarkScore
MMLU0.887
HumanEval0.90
MMMU0.69

Technical Details

  • Served via Azure OpenAI Service (api-version 2024-10-21)
  • Deployment: gpt-4o (2024-11-20), Standard SKU, Sweden Central
  • Billed through Azure first-party metering
  • Supports streaming, tool calling, and image input

Strengths

  • Strong, well-rounded frontier quality
  • Native image understanding
  • Azure compliance posture (SLA, residency, content safety)

Limitations

  • Proprietary — no self-hosting or fine-tuning here
  • Quality per token is below the newest GPT-5 tier for hard reasoning

Use Cases

Production chat assistantsVision / document understandingEnterprise apps needing data residencyTool-using agents

API Example

curl https://api.callmissed.com/v1/chat/completions \
  -H "Authorization: Bearer cm_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "azure/gpt-4o",
    "messages": [{"role": "user", "content": "Describe this product photo"}]
  }'

Endpoint: POST /v1/chat/completions · Model ID: azure/gpt-4o

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