GPT-4.1

Azure OpenAI chat Deprecates in 161d (Apr 14, 2027)
Heads-up: Azure OpenAI has scheduled GPT-4.1 for deprecation on Apr 14, 2027. Plan a migration. Use Agent Command Center's model fallback routing to swap models without code changes.

GPT-4.1 is an Azure OpenAI chat model.It supports a 1,047,576-token context windowwith up to 32,768 output tokens.Input is priced at $2.00/M tokens and output at $8.00/M tokens. Capabilities include function calling, vision, prompt caching. Route GPT-4.1 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: litellm Last verified: Oct 22, 2026 View source ↗
Cost calculator

Estimate GPT-4.1 spend

Pick a workload, fine-tune the sliders, and see the monthly bill.

~3K in / ~400 out · 5K req/day
3,000
01,047,576
400
032,768
5,000
01,000,000
cached @ $0.5000/M
Per request
$0.009200
in $0.006000 · out $0.003200
Per day
$46.00
5,000 requests
Per month
$1,400
152,188 requests

Estimate uses $2.00/M input · $8.00/M output. Provider pricing changes. Production costs vary with retries, streaming overhead, and tool-call rounds.
Want this for free? Cache + route via Agent Command Center — first 100K requests and 100K cache hits free every month.

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified Oct 22, 2026.

Input $2.00/M
Output $8.00/M
Blended (3:1 in:out) $3.50/M
Cross-model comparable price
Cached input $0.500/M
Batch input $1.00/M
Batch output $4.00/M

Context & limits

Context window
1,047,576 tokens
Max input
1,047,576 tokens
Max output
32,768 tokens
Modalities
vision, text

Capabilities

  • Function calling ✓ supported
  • Parallel tool calls ✓ supported
  • Vision input ✓ supported
  • Audio input — not advertised
  • Audio output — not advertised
  • PDF input — not advertised
  • Streaming ✓ supported
  • Structured output ✓ supported
  • Prompt caching ✓ supported
  • Reasoning — not advertised

Strengths & caveats — when to pick GPT-4.1

Data-driven from GPT-4.1's percentile within chat peers.

Where it's strong

  • +long-context tasks — context window in the top 10% of peers
  • +parallel tool calls — only 18% of chat models on Future AGI advertise this

Watch out for

  • !scheduled deprecation on Apr 14, 2027 (161 days)

Benchmark scores

Reported public benchmark numbers. Each row links to the source. Faded bar shows 6-peer average for context.

Arena ELO (coding)code· style control↑8% vs peers
Captured Oct 20, 2026
Chatbot Arena ELOgeneral· style control↑8% vs peers
Captured Oct 20, 2026
Captured Oct 19, 2026
Try it

Call GPT-4.1 via Agent Command Center

One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.

SDK
Native Future AGI client (agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.
# GPT-4.1 via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC

client = AgentCC(
    api_key=os.environ["AGENTCC_API_KEY"],   # from app.futureagi.com → Settings → API Keys
    base_url="https://gateway.futureagi.com/v1",
)

resp = client.chat.completions.create(
    model="azure-openai/gpt-4-1",
    messages=[{"role": "user", "content": "Hello, GPT-4.1!"}],
)

print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")

# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
    model="azure-openai/gpt-4-1",
    messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost:   ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache:  ", raw.headers.get("x-agentcc-cache"))
Set AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗
Advanced: fallback + cache config (YAML) ▸
strategy: cost-optimized
targets:
  - model: gpt-4-1
    provider: azure-openai
    weight: 80
fallbacks:
  - model: gpt-5-2-chat-latest
    provider: openai
  - model: glm-5-3-flash
    provider: zai
guardrails: [pii, prompt-injection, secrets]
cache: { exact: true, semantic: true }

Same model on other providers

gpt-4-1 is also available via 2 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.

ProviderInput / 1MOutput / 1MVerified
GitHub Copilot——Oct 22, 2026
OpenAI$2.00/M$8.00/MOct 22, 2026

Explore similar models

Grouped by Chatbot Arena tier (GPT-4.1 sits at 1415 ELO). Side-by-side links appear where a comparison page exists; otherwise, open the model profile.

FAQ

How much does GPT-4.1 cost?

Input is priced at $2.00 per 1M tokens and output at $8.00 per 1M tokens (Azure OpenAI, last verified Oct 22, 2026).

What is the context window of GPT-4.1?

GPT-4.1 supports a 1,047,576-token context window with up to 32,768 output tokens.

Does GPT-4.1 support function calling?

Yes — GPT-4.1 supports function (tool) calling, including parallel tool calls.

Is GPT-4.1 good for production?

GPT-4.1 is well-suited for long-context tasks — context window in the top 10% of peers and parallel tool calls — only 18% of chat models on Future AGI advertise this. Consider alternatives if you need scheduled deprecation on Apr 14, 2027 (161 days).

How can I route to GPT-4.1 with fallback?

Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.

Useful links for GPT-4.1

Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.