Amazon Bedrock Grok 4.6 API, Model IDs, Regions and Pricing
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Quick answer
Amazon Bedrock exposes Grok 4.6 through two contracts that should not be mixed:
bedrock-mantleuses model IDxai.grok-4.6and the OpenAI-compatible URLhttps://bedrock-mantle.{region}.api.aws/openai/v1. AWS documents an in-Region path inus-west-2.bedrock-runtimeuses the Bedrock runtime base URL and a cross-Region inference ID:us.xai.grok-4.6for US Geo orglobal.xai.grok-4.6for Global routing.
Choose the endpoint from data-location, feature, IAM, availability, latency, and price requirements—not from URL familiarity. Recheck the live model card because regions, quotas, features, and prices can change.
Endpoint decision table
| Decision | bedrock-mantle | bedrock-runtime |
|---|---|---|
| Model name | xai.grok-4.6 | us.xai.grok-4.6 or global.xai.grok-4.6 |
| Routing at source check | In-Region in us-west-2 | Geo or Global cross-Region |
| API style | OpenAI-compatible endpoint | Bedrock Runtime OpenAI-compatible base URL; AWS also documents Responses, Chat Completions, and Converse support |
| Feature contract | Client-side tools, reasoning, projects, streaming, structured outputs, prompt caching | Invocation logs, streaming, prompt caching, reasoning; server-side tools, structured outputs, count tokens, and application inference profiles are not listed |
| Key evidence | Exact Region availability | Inference-profile IAM plus route geography |
The feature matrix is endpoint-specific. “Bedrock supports Grok 4.6” does not mean every Bedrock API, tool mode, structured-output path, or Region is available.
Price and caching boundary
AWS’s August 20 model card lists Standard-tier prices per million tokens:
| Inference option | Input | Output | Cache read |
|---|---|---|---|
| In-Region | $2.20 | $6.60 | $0.55 |
| Geo cross-Region | $2.20 | $6.60 | $0.55 |
| Global cross-Region | $2.00 | $6.00 | $0.50 |
Treat this as a dated record. Estimate uncached input, cached input, output, retries, tool calls, long trajectories, logging, network, and failed requests. Verify that the prompt actually hits the cache rather than assuming a repeated prefix will be billed at the cache-read rate.
IAM and data-location checklist
Before the first production request:
- Record the endpoint hostname, caller Region, exact model or inference-profile ID, project, and AWS account.
- Decide whether the workload requires single-Region, geography-bounded, or Global routing; do not silently broaden the route on retry.
- Scope
bedrock:InvokeModelto the required model or inference profile and the default project resources documented for the chosen path. - Confirm invocation logging, retention, encryption, and access controls with test evidence.
- Query current quotas in the target account and Region; a documentation listing is not account capacity.
- Test reasoning parameters, tool calls, streaming, caching, errors, throttling, and rollback on the exact endpoint.
Use the Grok 4.6 deployment readiness checker to turn these choices into a preflight result. Use the direct Grok 4.6 model guide when AWS hosting is not a requirement.
Frequently asked questions
What is the Amazon Bedrock Grok 4.6 model ID?
AWS documents xai.grok-4.6 for bedrock-mantle, us.xai.grok-4.6 for US Geo cross-Region inference, and global.xai.grok-4.6 for Global cross-Region inference on bedrock-runtime.
Can bedrock-runtime run Grok 4.6 in one Region?
Not according to the August 20 model card. AWS lists Geo and Global inference IDs for bedrock-runtime; the documented in-Region path is bedrock-mantle in us-west-2. Recheck the live regional table before deployment.
How much does Grok 4.6 cost on Bedrock?
At the source check, AWS listed Standard-tier prices per million tokens of $2.20 input and $6.60 output for In-Region or Geo, and $2 input and $6 output for Global. Cache reads were $0.55 and $0.50 respectively. Recheck current price and account terms.
Official sources
Source check: August 20, 2026. Verify the live endpoint, Region, inference ID, feature matrix, IAM requirements, quotas, logging, price, and data-routing contract before production use.