Skip to content
ModelPriceLab

Search model prices

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

Model Services/Gemini 3.7 Flash vs Muse Glimmer 30B (batch)
Google AI
Meta

Gemini 3.7 Flash vs Muse Glimmer 30B (batch)

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Legacy / Superseded

Legacy / superseded version.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-flash
Illustrative Listed-Rate Difference
Muse Glimmer 30B (batch) about 78% lower
1M input + 200K output tokens; not a monthly bill
📌 Executive Summary (TL;DR):Under a standard baseline of 1M input + 200K output tokens, Muse Glimmer 30B (batch) lists approximately 78% lower than Gemini 3.7 Flash. For high-throughput production workloads, Muse Glimmer 30B (batch) 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 Muse Glimmer 30B (batch) totals ~$3.25. Switching to Muse Glimmer 30B (batch) yields ~$11.75/mo in raw token savings.

Model Your Workload →
Metric
Gemini 3.7 Flash (Google AI)
Muse Glimmer 30B (batch) (Meta)
Input listed rate
$0.75 / 1M Tokens
$0.18 / 1M Tokens
Output listed rate
$3.75 / 1M Tokens
$0.75 / 1M Tokens
Cached Input rate
$0.08 / 1M Tokens
$0.02 / 1M Tokens
Context Window
1049K Tokens
131K Tokens
Modality
llm
llm

🏆Related AI Scenario Leaderboards

Compare model standings across production scenarios weighted by editorial picks, public adoption, and verified price signals.

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.