Skip to content
ModelPriceLab

Search model prices

Find source-linked rates by model, vendor, or platform.

Model Services/Gemini 3.7 Flash vs GPT-4o
o
OpenAI

Gemini 3.7 Flash vs GPT-4o

2026 Stored listed rates & illustrative token-cost comparison

GPT-4o

Deprecated

Deprecated endpoints may still be callable. Migrate before retirement.

Illustrative Listed-Rate Difference
Gemini 3.7 Flash about 67% lower
1M input + 200K output tokens; not a monthly bill
📌 Executive Summary (TL;DR):Under a standard baseline of 1M input + 200K output tokens, Gemini 3.7 Flash lists approximately 67% lower than GPT-4o. For high-throughput production workloads, Gemini 3.7 Flash delivers superior unit economics; model your specific monthly workload below before migrating.
💡 10M Monthly Token Workload Simulation

Simulating a production workload (10M input + 2M output tokens): Gemini 3.7 Flash listed rate totals ~$15.00, while GPT-4o totals ~$45.00. Switching to Gemini 3.7 Flash yields ~$30.00/mo in raw token savings.

Model Your Workload →
Metric
Gemini 3.7 Flash (openrouter)
GPT-4o (OpenAI)
Input listed rate
$0.75 / 1M Tokens
$2.50 / 1M Tokens
Output listed rate
$3.75 / 1M Tokens
$10.00 / 1M Tokens
Cached Input rate
$0.08 / 1M Tokens
$1.25 / 1M Tokens
Context Window
1049K Tokens
128K Tokens
Modality
llm
llm

🏆Related AI Scenario Leaderboards

Evaluate how these models rank across real production scenarios based on quality, latency, and cost weights.

Want to map listed prices to your usage?

Enter token volume in the free estimator for a directional cost comparison. Validate quality, latency, and provider terms before migrating.