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GPT-4.1 (Azure)

by Azure OpenAI · Released 2025

OpenAI GPT-4.1 on Azure — a long-context (1M token) multimodal model with strong coding and instruction-following, billed on Azure infrastructure.

LLM Chat

GPT-4.1 (Azure)

Powered by Azure OpenAI · Long-context multimodal transformer (OpenAI GPT-4.1), hosted on Azure OpenAI Service

Context Window

1M

Parameters

Not disclosed

Max Output

32K

Category

LLM Chat

Overview

GPT-4.1 is OpenAI's long-context workhorse, served here through Microsoft Azure OpenAI Service. Its standout feature is a 1-million-token context window, which makes it well suited to whole-codebase reasoning, long-document analysis, and agent workflows that accumulate large histories. GPT-4.1 also improves on GPT-4o for coding and precise instruction-following while remaining multimodal (text + image input).

Through CallMissed it is addressed as `azure/gpt-4.1` on the standard OpenAI-compatible `/v1/chat/completions` endpoint, with streaming, tool calling, and vision supported. Running on Azure means first-party metered billing, Sweden Central data residency, and Azure's enterprise SLAs and content-safety integration — a good fit for teams that need both very long context and a compliant hosting story.

Pricing

MetricPrice
Input /1M tokens₹200.0000
Output /1M tokens₹800.0000

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

Key Highlights

  • 1M-token context window
  • Improved coding + instruction-following vs GPT-4o
  • Multimodal (text + image input)
  • Azure-hosted with enterprise SLAs + data residency

Benchmarks

BenchmarkScore
MMLU0.90
SWE-bench0.55
MMMU0.74

Technical Details

  • Served via Azure OpenAI Service (api-version 2024-10-21)
  • Deployment: gpt-4.1 (2025-04-14), Standard SKU, Sweden Central
  • Billed through Azure first-party metering
  • 1M-token context; supports streaming, tools, image input

Strengths

  • Huge 1M-token context
  • Excellent coding and instruction adherence
  • Azure compliance posture

Limitations

  • Proprietary — no self-hosting or fine-tuning here
  • Higher latency on very large contexts

Use Cases

Codebase-wide reasoningLong-document analysisAgents with large historiesCoding assistants

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-4.1",
    "messages": [{"role": "user", "content": "Refactor this module for readability"}]
  }'

Endpoint: POST /v1/chat/completions · Model ID: azure/gpt-4.1

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