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Model Services/Granite 4.0 Micro vs Gemini 3.7 Flash
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Google AI

Granite 4.0 Micro vs Gemini 3.7 Flash

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Legacy / Superseded

Legacy / superseded version.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.

Illustrative Listed-Rate Difference
Granite 4.0 Micro about 97% lower
1M input + 200K output tokens; not a monthly bill
📌 Executive Summary (TL;DR):Under a standard baseline of 1M input + 200K output tokens, Granite 4.0 Micro lists approximately 97% lower than Gemini 3.7 Flash. For high-throughput production workloads, Granite 4.0 Micro 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): Granite 4.0 Micro listed rate totals ~$0.39, while Gemini 3.7 Flash totals ~$15.00. Switching to Granite 4.0 Micro yields ~$14.61/mo in raw token savings.

Model Your Workload →
Metric
Granite 4.0 Micro (openrouter)
Gemini 3.7 Flash (Google AI)
Input listed rate
$0.02 / 1M Tokens
$0.75 / 1M Tokens
Output listed rate
$0.11 / 1M Tokens
$3.75 / 1M Tokens
Cached Input rate
—
$0.08 / 1M Tokens
Context Window
131K Tokens
1049K Tokens
Modality
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