TokenTally

Enterprise LLM ops

GPT-4.1 cost planner

Modeling advanced RAG or agentic systems? Use these GPT-4.1 scenarios to forecast spend across coding copilots, legal review, and orchestration bots.

Last pricing check: Mar 13, 2026

$30.00 per 1M prompt tokens$60.00 per 1M completion tokens128,000 token context

Why teams choose this model

Advanced RAG agents with tool calling
Enterprise copilots that need deterministic reasoning
Multi-turn planning / orchestration
Open main calculator

Scenario planning

Realistic cost examples

Numbers use GPT-4.1 pricing

Compliance review copilot

Draft → critique → finalize sequences for regulated teams.

Per request

$0.102

Per month

$255.00

Tokens sent

6,250,000

1600 prompt tokens900 completion tokens2,500 requests/mo

Code refactor agent

Multi-step reasoning on large codebases with structured output.

Per request

$0.108

Per month

$432.00

Tokens sent

10,000,000

1400 prompt tokens1100 completion tokens4,000 requests/mo

Finance analyst

Budget, forecast, and what-if projections with attached spreadsheets.

Per request

$0.072

Per month

$432.00

Tokens sent

10,200,000

1000 prompt tokens700 completion tokens6,000 requests/mo

Compare with

OpenAI

GPT-4.1 Mini Cost Calculator

Updated Mar 13, 2026

OpenAI

GPT-5 Pricing Guide

Updated Mar 13, 2026

OpenAI

GPT-5.1 Pricing Guide

Updated Mar 13, 2026

FAQs

Why is GPT-4.1 pricier than GPT-4o?

GPT-4.1 bundles stronger reasoning + tool calling reliability. That extra capability shows up as higher per-token pricing.

Can I mix GPT-4.1 with mini models?

Yes. Many teams draft with GPT-4o mini then escalate complex prompts to GPT-4.1 using TokenTally scenarios to model the blend.

How do system prompts affect cost?

Lengthy system instructions count as prompt tokens. Keep them lean or store reusable instructions in your application logic to avoid constant re-sending.

Pricing sources