GlobalPayCalc.com
Interactive LLM API Token Cost Simulator

GPT-4o Mini vs Gemini 1.5 Flash API Token Cost Calculator for Multi-Agent Orchestration

Calculate and compare monthly API token costs, prompt caching savings, and latency between GPT-4o Mini ($0.15/1M in) and Gemini 1.5 Flash ($0.075/1M in) for Multi-Agent Orchestration.

Requests / Day3,000
Input Tokens / Req6,000
Output Tokens / Req1,200
Prompt Cache Hit %65%
GPT-4o Mini (OpenAI)128K Context
Estimated Monthly API Spend
$119.47/mo
Input / Cached (1M):$0.15 / $0.075
Output (1M):$0.60
Avg Speed:~165 tok/s
Gemini 1.5 Flash (Google)1M Context
Estimated Monthly API Spend
$52.89/mo
Input / Cached (1M):$0.07 / $0.018
Output (1M):$0.30
Avg Speed:~190 tok/s
Cost Winner for Multi-Agent Orchestration: Gemini 1.5 Flash saves $66.58/month ($799/year) at current token volume.
Open Full Multi-Model Simulator โ†’

GPT-4o Mini vs Gemini 1.5 Flash API Cost & Architecture Guide

Selecting between GPT-4o Mini (OpenAI) and Gemini 1.5 Flash (Google) for production Multi-Agent Orchestration workloads requires balancing token pricing, prompt caching discounts, context window capacity (128K vs 1M), and streaming throughput (165 vs 190 tok/s).

GPT-4o Mini is priced at $0.15 per 1M input tokens ($0.075/1M with prompt caching) and $0.60 per 1M output tokens. By comparison, Gemini 1.5 Flash charges $0.07 per 1M input tokens ($0.018/1M cached) and $0.30 per 1M output tokens.

At 3,000 requests/day (540.0M monthly input tokens and 108.0M monthly output tokens with a 65% cache hit rate), GPT-4o Mini costs $119.47/month whereas Gemini 1.5 Flash costs $52.89/monthโ€”a monthly variance of $66.58 ($799/year).

Frequently Asked Questions

Is GPT-4o Mini or Gemini 1.5 Flash cheaper for Multi-Agent Orchestration?

Under standard Multi-Agent Orchestration parameters (3,000 reqs/day, 6000 input tokens, 1200 output tokens, 65% cache hit), Gemini 1.5 Flash is more cost-effective, saving $66.58 per month ($798.98 annually).

How does prompt caching affect GPT-4o Mini vs Gemini 1.5 Flash pricing?

GPT-4o Mini reduces cached input costs to $0.075/1M tokens, while Gemini 1.5 Flash charges $0.018/1M cached input tokens. High system-prompt reuse in Multi-Agent Orchestration pipelines can cut total input token spend by 50%โ€“90%.

What are the context window and speed differences between GPT-4o Mini and Gemini 1.5 Flash?

GPT-4o Mini supports a 128K token context window at ~165 tokens/sec, while Gemini 1.5 Flash provides a 1M token context window at ~190 tokens/sec.

Disclaimer: API prices and tokenizer rules are subject to change by the respective providers.

Related Calculators & Comparisons

Sponsor

Frequently Asked Questions

Learn more about data security, computations, and platform verification.

Is my personal data or file uploads secure on GlobalPayCalc?
Yes, 100%. All processing (image compression, background removal, tax calculations, token estimations) occurs entirely inside your local browser memory (RAM). We do not upload, store, or log any of your files on any remote servers.
How does the Global Take-Home Salary & FX Fee engine work?
Where do the remote tax and living cost index (PPP) rates come from?
Why is this utility engine completely free to use?
How accurate is the AI Token API Cost Simulator?
Is GlobalPayCalc compatible with mobile devices?
100% Secure & Local RAM Processing
Verified OECD & Official Tax Alignment
Unlimited Usage, No Hidden Membership Fees

Popular Remote Tax & Living Cost Corridors

Explore All 144 City-to-City Tax & Relocation Corridors
NYC โ†’ Madrid (Spain)NYC โ†’ Lisbon (Portugal)NYC โ†’ Bali (Indonesia)NYC โ†’ Tokyo (Japan)NYC โ†’ SingaporeNYC โ†’ Bangkok (Thailand)NYC โ†’ Medellin (Colombia)NYC โ†’ Mexico City (Mexico)NYC โ†’ Tallinn (Estonia)NYC โ†’ Athens (Greece)NYC โ†’ Barcelona (Spain)NYC โ†’ Tbilisi (Georgia)LON โ†’ Madrid (Spain)LON โ†’ Lisbon (Portugal)LON โ†’ Bali (Indonesia)LON โ†’ Tokyo (Japan)LON โ†’ SingaporeLON โ†’ Bangkok (Thailand)LON โ†’ Medellin (Colombia)LON โ†’ Mexico City (Mexico)LON โ†’ Tallinn (Estonia)LON โ†’ Athens (Greece)LON โ†’ Barcelona (Spain)LON โ†’ Tbilisi (Georgia)BER โ†’ Madrid (Spain)BER โ†’ Lisbon (Portugal)BER โ†’ Bali (Indonesia)BER โ†’ Tokyo (Japan)BER โ†’ SingaporeBER โ†’ Bangkok (Thailand)BER โ†’ Medellin (Colombia)BER โ†’ Mexico City (Mexico)BER โ†’ Tallinn (Estonia)BER โ†’ Athens (Greece)BER โ†’ Barcelona (Spain)BER โ†’ Tbilisi (Georgia)PAR โ†’ Madrid (Spain)PAR โ†’ Lisbon (Portugal)PAR โ†’ Bali (Indonesia)PAR โ†’ Tokyo (Japan)PAR โ†’ SingaporePAR โ†’ Bangkok (Thailand)PAR โ†’ Medellin (Colombia)PAR โ†’ Mexico City (Mexico)PAR โ†’ Tallinn (Estonia)PAR โ†’ Athens (Greece)PAR โ†’ Barcelona (Spain)PAR โ†’ Tbilisi (Georgia)IST โ†’ Madrid (Spain)IST โ†’ Lisbon (Portugal)IST โ†’ Bali (Indonesia)IST โ†’ Tokyo (Japan)IST โ†’ SingaporeIST โ†’ Bangkok (Thailand)IST โ†’ Medellin (Colombia)IST โ†’ Mexico City (Mexico)IST โ†’ Tallinn (Estonia)IST โ†’ Athens (Greece)IST โ†’ Barcelona (Spain)IST โ†’ Tbilisi (Georgia)TOR โ†’ Madrid (Spain)TOR โ†’ Lisbon (Portugal)TOR โ†’ Bali (Indonesia)TOR โ†’ Tokyo (Japan)TOR โ†’ SingaporeTOR โ†’ Bangkok (Thailand)TOR โ†’ Medellin (Colombia)TOR โ†’ Mexico City (Mexico)TOR โ†’ Tallinn (Estonia)TOR โ†’ Athens (Greece)TOR โ†’ Barcelona (Spain)TOR โ†’ Tbilisi (Georgia)SYD โ†’ Madrid (Spain)SYD โ†’ Lisbon (Portugal)SYD โ†’ Bali (Indonesia)SYD โ†’ Tokyo (Japan)SYD โ†’ SingaporeSYD โ†’ Bangkok (Thailand)SYD โ†’ Medellin (Colombia)SYD โ†’ Mexico City (Mexico)SYD โ†’ Tallinn (Estonia)SYD โ†’ Athens (Greece)SYD โ†’ Barcelona (Spain)SYD โ†’ Tbilisi (Georgia)AUS โ†’ Madrid (Spain)AUS โ†’ Lisbon (Portugal)AUS โ†’ Bali (Indonesia)AUS โ†’ Tokyo (Japan)AUS โ†’ SingaporeAUS โ†’ Bangkok (Thailand)AUS โ†’ Medellin (Colombia)AUS โ†’ Mexico City (Mexico)AUS โ†’ Tallinn (Estonia)AUS โ†’ Athens (Greece)AUS โ†’ Barcelona (Spain)AUS โ†’ Tbilisi (Georgia)ZRH โ†’ Madrid (Spain)ZRH โ†’ Lisbon (Portugal)ZRH โ†’ Bali (Indonesia)ZRH โ†’ Tokyo (Japan)ZRH โ†’ SingaporeZRH โ†’ Bangkok (Thailand)ZRH โ†’ Medellin (Colombia)ZRH โ†’ Mexico City (Mexico)ZRH โ†’ Tallinn (Estonia)ZRH โ†’ Athens (Greece)ZRH โ†’ Barcelona (Spain)ZRH โ†’ Tbilisi (Georgia)AMS โ†’ Madrid (Spain)AMS โ†’ Lisbon (Portugal)AMS โ†’ Bali (Indonesia)AMS โ†’ Tokyo (Japan)AMS โ†’ SingaporeAMS โ†’ Bangkok (Thailand)AMS โ†’ Medellin (Colombia)AMS โ†’ Mexico City (Mexico)AMS โ†’ Tallinn (Estonia)AMS โ†’ Athens (Greece)AMS โ†’ Barcelona (Spain)AMS โ†’ Tbilisi (Georgia)DUB โ†’ Madrid (Spain)DUB โ†’ Lisbon (Portugal)DUB โ†’ Bali (Indonesia)DUB โ†’ Tokyo (Japan)DUB โ†’ SingaporeDUB โ†’ Bangkok (Thailand)DUB โ†’ Medellin (Colombia)DUB โ†’ Mexico City (Mexico)DUB โ†’ Tallinn (Estonia)DUB โ†’ Athens (Greece)DUB โ†’ Barcelona (Spain)DUB โ†’ Tbilisi (Georgia)

Popular LLM API Token Cost Benchmarks

Explore All 36 LLM Token Pricing Comparisons
Claude 3.5 Sonnet vs Gemini 1.5 Pro (RAG Pipeline)Claude 3.5 Sonnet vs Gemini 1.5 Pro (Customer Support Agent)Claude 3.5 Sonnet vs Gemini 1.5 Pro (Multi-Agent Orchestration)Claude 3.5 Sonnet vs Gemini 1.5 Pro (Code Generation & Review)GPT-4o Mini vs Gemini 1.5 Flash (RAG Pipeline)GPT-4o Mini vs Gemini 1.5 Flash (Customer Support Agent)GPT-4o Mini vs Gemini 1.5 Flash (Multi-Agent Orchestration)GPT-4o Mini vs Gemini 1.5 Flash (Code Generation & Review)GPT-4o Mini vs Llama 3 70B (RAG Pipeline)GPT-4o Mini vs Llama 3 70B (Customer Support Agent)GPT-4o Mini vs Llama 3 70B (Multi-Agent Orchestration)GPT-4o Mini vs Llama 3 70B (Code Generation & Review)GPT-4o vs Llama 3.1 405B (RAG Pipeline)GPT-4o vs Llama 3.1 405B (Customer Support Agent)GPT-4o vs Llama 3.1 405B (Multi-Agent Orchestration)GPT-4o vs Llama 3.1 405B (Code Generation & Review)Claude 3.5 Sonnet vs Llama 3.1 405B (RAG Pipeline)Claude 3.5 Sonnet vs Llama 3.1 405B (Customer Support Agent)Claude 3.5 Sonnet vs Llama 3.1 405B (Multi-Agent Orchestration)Claude 3.5 Sonnet vs Llama 3.1 405B (Code Generation & Review)GPT-4o vs Mistral Large 2 (RAG Pipeline)GPT-4o vs Mistral Large 2 (Customer Support Agent)GPT-4o vs Mistral Large 2 (Multi-Agent Orchestration)GPT-4o vs Mistral Large 2 (Code Generation & Review)Claude 3.5 Sonnet vs Claude 3 Opus (RAG Pipeline)Claude 3.5 Sonnet vs Claude 3 Opus (Customer Support Agent)Claude 3.5 Sonnet vs Claude 3 Opus (Multi-Agent Orchestration)Claude 3.5 Sonnet vs Claude 3 Opus (Code Generation & Review)