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Model Services/Llama 4 Scout 17B Instruct (US) vs Gemini 3.7 Flash
AWS Bedrock
Google AI

Llama 4 Scout 17B Instruct (US) 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Legacy / Superseded

Legacy / superseded version.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.

Replacement reference: gemini-3.8-flash
Illustrative Listed-Rate Difference
Llama 4 Scout 17B Instruct (US) about 80% 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 Scout 17B Instruct (US) lists approximately 80% lower than Gemini 3.7 Flash. For high-throughput production workloads, Llama 4 Scout 17B Instruct (US) 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): Llama 4 Scout 17B Instruct (US) listed rate totals ~$3.02, while Gemini 3.7 Flash totals ~$15.00. Switching to Llama 4 Scout 17B Instruct (US) yields ~$11.98/mo in raw token savings.

Model Your Workload →
Metric
Llama 4 Scout 17B Instruct (US) (AWS Bedrock)
Gemini 3.7 Flash (Google AI)
Input listed rate
$0.17 / 1M Tokens
$0.75 / 1M Tokens
Output listed rate
$0.66 / 1M Tokens
$3.75 / 1M Tokens
Cached Input rate
—
$0.08 / 1M Tokens
Context Window
10000K Tokens
1049K Tokens
Modality
llm
llm

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