Llama 4 Maverick 17B 128E Instruct FP8 vs Gemini 3.7 Flash
2026 Stored listed rates & illustrative token-cost comparison
Illustrative Listed-Rate Difference
Llama 4 Maverick 17B 128E Instruct FP8 about 70% lower
1M input + 200K output tokens; not a monthly bill
📌 Executive Summary (TL;DR):Under a standard baseline of 1M input + 200K output tokens, Llama 4 Maverick 17B 128E Instruct FP8 lists approximately 70% lower than Gemini 3.7 Flash. For high-throughput production workloads, Llama 4 Maverick 17B 128E Instruct FP8 delivers superior unit economics; model your specific monthly workload below before migrating.(Price records last updated 2026-10-22 (UTC))
💡 10M Monthly Token Workload Simulation
Simulating a production workload (10M input + 2M output tokens): Llama 4 Maverick 17B 128E Instruct FP8 listed rate totals ~$4.50, while Gemini 3.7 Flash totals ~$15.00. Switching to Llama 4 Maverick 17B 128E Instruct FP8 yields ~$10.50/mo in raw token savings.
Metric
Llama 4 Maverick 17B 128E Instruct FP8 (Microsoft Azure)
Gemini 3.7 Flash (Google AI)
Input listed rate
$0.25 / 1M Tokens
$0.75 / 1M Tokens
Output listed rate
$1.00 / 1M Tokens
$3.75 / 1M Tokens
Cached Input rate
—
$0.08 / 1M Tokens
Context Window
1000K Tokens
1049K Tokens
Modality
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