Gemini 3.7 Flash vs GPT-4.1 nano
2026 Stored listed rates & illustrative token-cost comparison
Gemini 3.7 Flash
Legacy / Superseded
Legacy / superseded version. Newer models are available; official or partner channels may still serve this version.
Replacement reference: gemini-3.8-flashGPT-4.1 nano
Deprecated
Deprecated endpoints may still be callable. Migrate before retirement.
Illustrative Listed-Rate Difference
GPT-4.1 nano about 88% lower
1M input + 200K output tokens; not a monthly bill
📌 Executive Summary (TL;DR):Under a standard baseline of 1M input + 200K output tokens, GPT-4.1 nano lists approximately 88% lower than Gemini 3.7 Flash. For high-throughput production workloads, GPT-4.1 nano delivers superior unit economics; model your specific monthly workload below before migrating.(Price records last updated 2026-10-11 (UTC))
💡 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-4.1 nano totals ~$1.80. Switching to GPT-4.1 nano yields ~$13.20/mo in raw token savings.
Metric
Gemini 3.7 Flash (Google AI)
GPT-4.1 nano (OpenAI)
Input listed rate
$0.75 / 1M Tokens
$0.10 / 1M Tokens
Output listed rate
$3.75 / 1M Tokens
$0.40 / 1M Tokens
Cached Input rate
$0.08 / 1M Tokens
$0.03 / 1M Tokens
Context Window
1049K Tokens
1048K Tokens
Modality
llm
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