Text model

meta.llama4-scout-17b-instruct-v1:0 pricing

Amazon Bedrock charges $0.17 per million input tokens and $0.66 per million output tokens for meta.llama4-scout-17b-instruct-v1:0. Below: every rate that applies, what common workloads cost, and cheaper options.

Input: $0.17/ 1M
Output: $0.66/ 1M
Context: 10Mtokens

Retires 2027-03-30. npx @veqen/sdk scan finds every place your code uses it.

All rates

Tier	Input	Output	Cache read	Cache write
Standard	$0.17	$0.66	—	—
Batch	$0.085	$0.33	—	—

USD per million tokens. Long-context tiers apply when the whole prompt, cached tokens included, passes the threshold.

Work it out

What common workloads cost

Workload	Per call	Cost per call	Calls a month	Per month
Chat reply	1,500 input and 400 output tokens	$0.000519	100,000	$51.90
RAG answer, cached context	2,000 fresh + 4,000 cached input, 500 output	$0.00135	100,000	$135.00
Agent step	4,000 fresh + 8,000 cached input, 800 output	$0.00257	250,000	$642.00
Batch summary	3,000 input and 300 output tokens via the Batch API	$0.000354	1,000,000	$354.00

Planning a mix of models? Simulate a workload with meta.llama4-scout-17b-instruct-v1:0, alongside anything else you run.

Cheaper options

Current models that cost at least 15% less for a typical chat reply. Cheaper isn't always equivalent: test quality on your own prompts, then use veqen diff to see the impact at your volume.

Model	Chat reply	Saving
bedrock/anthropic.claude-haiku-5-5	$0.00042	19%
bedrock/openai.gpt-oss-20b-1:0	$0.00027	48%
databricks/databricks-gemma-3-12b	$0.000425	18%
databricks/databricks-glm-5-3-flash	$0.000425	18%

Price history

No price changes since Veqen started tracking this model.

Compare

Last verified with price book 2026-10-22. Sources: Amazon Bedrock pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.