LLM Cost Calculator

GPT-4.1 vs Gemini 2.5 Pro — LLM API Cost Comparison

Compare GPT-4.1 (OpenAI) vs Gemini 2.5 Pro (Google) on cost per million tokens, context window, and monthly spend.

Prices verified 2026-05-20 · Pricing may change — use the calculator for current estimates

OpenAI
GPT-4.1
Current
Input
$2/1M tokens
Output
$8/1M tokens
Context
1M tokens
Released
2025-04

Recommended production model (replaced GPT-4o); 1M context

Google
Gemini 2.5 Pro
Input
$1.25/1M tokens
Output
$10/1M tokens
Context
1M tokens
Released
2025-09

Stable release; strong coding & complex reasoning

Monthly Cost by Usage Tier (70% input / 30% output ratio)

UsageGPT-4.1Gemini 2.5 ProCheaper by
Light (1M tokens)$3.80$3.88GPT-4.1 (2%)
Moderate (10M tokens)$38.00$38.75GPT-4.1 (2%)
Heavy (100M tokens)$380$388GPT-4.1 (2%)
Very Heavy (1B tokens)$3,800$3,875GPT-4.1 (2%)

Frequently Asked Questions

Which is cheaper — GPT-4.1 or Gemini 2.5 Pro?

For input tokens, Gemini 2.5 Pro is cheaper at $1.25/1M tokens — 1.6× less than $2/1M. For output tokens, GPT-4.1 wins at $8/1M vs $10/1M. At heavy workloads (100M tokens/month), the cost difference can be significant.

What is the context window difference between GPT-4.1 and Gemini 2.5 Pro?

GPT-4.1 supports 1,000,000 tokens per request; Gemini 2.5 Pro supports 1,000,000 tokens. GPT-4.1 wins on context length, making it better for long documents, large codebases, or extended conversations without chunking.

When should I choose GPT-4.1 over Gemini 2.5 Pro?

Choose GPT-4.1 (OpenAI) if you prefer OpenAI's ecosystem, tooling, or reliability track record. Recommended production model (replaced GPT-4o); 1M context. Choose Gemini 2.5 Pro (Google) if Stable release; strong coding & complex reasoning. the price/performance fits your workload better. Use this calculator to find the break-even point for your exact token volume.

How much does 1 billion tokens cost on GPT-4.1 vs Gemini 2.5 Pro?

At 700M input + 300M output tokens (1B total): GPT-4.1 costs $3800; Gemini 2.5 Pro costs $3875. The difference is $75/billion tokens at this 70/30 input/output ratio.