Same open weights, served by 2 providers.
| Provider | Their model id | Serving | Input | Output | Cached in | Blended 3:1 | Source | |
|---|---|---|---|---|---|---|---|---|
AWS Bedrock | meta.llama4-scout-17b-instruct-v1:0 | standardQuantization not disclosed | $0.17 | $0.66 | — | $0.292 | Verified 6h ago · Changed 6h ago | |
AWS Bedrock | us.meta.llama4-scout-17b-instruct-v1:0 | standardQuantization not disclosed | $0.17 | $0.66 | — | $0.292 | Verified 6h ago · Changed 6h ago | |
Google Vertex AI | meta/llama-4-scout-17b-16e-instruct-maas | standardQuantization not disclosed | $0.25 | $0.70 | — | $0.362 | Verified 6h ago · Changed 6h ago |
Same weights don't always mean identical outputs: quantization, context limits and serving stacks can change quality, especially for tool calling. Prices are USD per 1M tokens; hyperscaler prices are for the reference region shown.
| AWS Bedrock | $30.2/mo |
| AWS Bedrock | $30.2/mo |
| Google Vertex AI | $39/mo |
Cache hits use each provider's cached-input price where it has one. Cache write costs aren't included.