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Summary

On June 15, 2026 xAI Grok 4.3 reached GA on Bedrock Mantle at $1.25/$2.50 per 1M tokens — a 10M-in / 1M-out month costs $15 vs $45 on Claude Sonnet 5. Here is the routing math and what breaks on Converse.

Key Facts

  • On June 15, 2026 xAI Grok 4
  • 3 reached GA on Bedrock Mantle at $1
  • 25/$2
  • 50 per 1M tokens — a 10M-in / 1M-out month costs $15 vs $45 on Claude Sonnet 5
  • AWS lifecycle notice (June 30, 2026) — Amazon Bedrock Agents Classic is in maintenance for new customers after July 30, 2026

Entity Definitions

AWS Bedrock
AWS Bedrock is an AWS service discussed in this article.
Amazon Bedrock
Amazon Bedrock is an AWS service discussed in this article.
Bedrock
Bedrock is an AWS service discussed in this article.
CloudWatch
CloudWatch is an AWS service discussed in this article.
IAM
IAM is an AWS service discussed in this article.
RAG
RAG is a cloud computing concept discussed in this article.
cost optimization
cost optimization is a cloud computing concept discussed in this article.
compliance
compliance is a cloud computing concept discussed in this article.

xAI Grok 4.3 on Amazon Bedrock (June 2026): Mantle Routing and Rate-Card Math

Generative AIPalaniappan P6 min read

Quick summary: On June 15, 2026 xAI Grok 4.3 reached GA on Bedrock Mantle at $1.25/$2.50 per 1M tokens — a 10M-in / 1M-out month costs $15 vs $45 on Claude Sonnet 5. Here is the routing math and what breaks on Converse.

Key Takeaways

  • On June 15, 2026 xAI Grok 4
  • 3 reached GA on Bedrock Mantle at $1
  • 25/$2
  • 50 per 1M tokens — a 10M-in / 1M-out month costs $15 vs $45 on Claude Sonnet 5
  • AWS lifecycle notice (June 30, 2026) — Amazon Bedrock Agents Classic is in maintenance for new customers after July 30, 2026
xAI Grok 4.3 on Amazon Bedrock (June 2026): Mantle Routing and Rate-Card Math
Table of Contents

AWS lifecycle notice (June 30, 2026) — Amazon Bedrock Agents Classic is in maintenance for new customers after July 30, 2026. Net-new agent builds should use Bedrock AgentCore. Full matrix: lifecycle roundup.

On June 15, 2026, AWS announced xAI Grok 4.3 general availability on Amazon Bedrock, served through the Bedrock Mantle endpoint. Published on-demand list rates: $1.25 / $2.50 per 1M input/output tokens, with $0.20 / 1M cached input (re-verify on Bedrock pricing before you lock a budget).

This is a third frontier option on Mantle beside OpenAI GPT-5.6 and Anthropic Claude — not a drop-in for every Converse-based agent you already run. If you standardize on Bedrock for procurement and IAM, Grok 4.3 is worth a routing slot when long context and aggressive input pricing matter more than staying on a Converse-native path.


What changed on June 15, 2026

Per AWS at GA:

AttributeGrok 4.3 on Bedrock
Model IDxai.grok-4.3
API pathMantle — Chat Completions / Responses (bedrock-mantle.REGION.api.aws)
Converse APINot supported
Context1M tokens
ReasoningConfigurable: none / low / medium / high
Regionsus-east-1, us-east-2, us-west-2
Geo / global inferenceNot supported at GA

Implication: teams on bedrock-runtime Converse (Agents Classic, many LangChain paths, Bedrock Flows) cannot swap model IDs silently. Mantle is a separate invoke surface — same billing account, different client configuration and IAM actions.


First-party pricing math (not a client silhouette)

No anonymized engagement is cited for Grok 4.3 adoption. The numbers below are reproducible arithmetic on the published Bedrock rate card — one illustrative monthly shape, labeled as math.

Illustrative month: 10M input tokens + 1M output tokens (agentic production mix with moderate output).

ModelInput $Output $Monthly total
Grok 4.310 × $1.25 = $12.501 × $2.50 = $2.50$15.00
GPT-5.6 Terra10 × $2.20 = $22.001 × $13.20 = $13.20$35.20
Claude Sonnet 510 × $3.00 = $30.001 × $15.00 = $15.00$45.00
GPT-5.6 Luna10 × $0.22 = $2.201 × $1.32 = $1.32$3.52

Direction: Grok 4.3 is −$30.00 / month (−67%) vs Sonnet 5 and −$20.20 / month (−57%) vs Terra on identical token counts. Luna is still ~4× cheaper on this mix — use Luna for high-QPS classification, not as a Grok substitute for 1M-context reasoning lanes.

Download the full comparison: model-routing-cost-worksheet.csv.

Reproduce this — Open the worksheet CSV and replace the sample 10M/1M columns with your Cost Explorer / CUR input and output totals. Work the Mantle gotchas checklist before promoting a lane. Pair with Bedrock cost optimization: token budgets and model selection.


Opinionated routing: where Grok 4.3 belongs

We recommend: trial Grok 4.3 on new Mantle-native lanes that need long context (large codebases, multi-document RAG, extended chat history) and where list input cost dominates — after a frozen-prompt bakeoff against Terra and Sonnet 5. Keep Converse-native production on Sonnet 5 until Mantle migration is explicit. Keep high-volume thin tasks on Luna (see GPT-5.6 Luna & Terra pricing). Keep hardest agentic / governance-heavy work on Claude Opus 5 where ZDR-default and Guardrails composition matter (Opus 5 on Bedrock).

Trade-off you accept: lower $/MTok and 1M context vs Mantle-only invoke, no Converse tool path, and xAI-specific behavior you must re-validate on your prompt pack.

LaneLean Grok 4.3Lean instead
Long-context doc Q&A, 200K–1M token inputsYesSonnet 5 if Converse + Guardrails required
Everyday mid-tier agents (Mantle-ready)Trial after bakeoffTerra (−20% cut still higher $/MTok)
High-QPS classification / routingNoLuna
Converse Agents Classic / Flows (no Mantle plan)NoSonnet 5 or Nova
Regulated ZDR-default flagship agentsCautiousOpus 5

For OpenAI-on-Bedrock Mantle patterns (Responses API, Codex context), see OpenAI models + Codex on Bedrock.


What broke (pattern): Converse assumptions on a Mantle-only model

What broke — A team pointed an existing Bedrock Converse wrapper at xai.grok-4.3 and got ValidationException: model does not support Converse. Root cause: Grok 4.3 is Mantle-only at GA. Detection: CloudWatch ModelInvocationError on bedrock-runtime with zero Mantle traffic. Fix: migrate invoke to bedrock-mantle.REGION.api.aws/openai/v1, update IAM from runtime-only to Mantle actions, and re-test tool schemas — Chat Completions message format differs from Converse content blocks.

Secondary gotcha: context-tier pricing. List rates ($1.25 / $2.50) may apply only below a context threshold; input cost can roughly double above ~200K tokens on some Bedrock model cards — verify the xAI row before budgeting a 1M-context lane. See mantle-gotchas.md.


Invoke Grok 4.3 on Mantle

Context: OpenAI Python SDK against Bedrock Mantle, region us-east-1, model ID from the Grok 4.3 model card. Auth via Bedrock API key or SigV4 per your path.

# openai>=1.x; OPENAI_BASE_URL=https://bedrock-mantle.us-east-1.api.aws/openai/v1
from openai import OpenAI

client = OpenAI()  # OPENAI_API_KEY + OPENAI_BASE_URL from env

response = client.chat.completions.create(
    model='xai.grok-4.3',
    messages=[
        {'role': 'system', 'content': 'You are a concise support assistant.'},
        {'role': 'user', 'content': 'Classify: billing dispute on invoice #4421.'},
    ],
    # reasoning_effort='medium',  # none | low | medium | high — verify model card
)

print(response.choices[0].message.content)

Regions today: us-east-1, us-east-2, us-west-2. No geo/global inference IDs — capacity-plan inside those Regions. Converse on bedrock-runtime is not an fallback.


What to Do This Week

  1. Confirm Grok 4.3 is enabled in your Bedrock model access console for the target Region.
  2. Pull last 30 days of Bedrock token usage; split Converse vs Mantle usage types in CUR.
  3. Recompute monthly $ with the worksheet CSV at Grok, Terra, Sonnet 5, and Luna rows.
  4. Pick one long-context lane that is Mantle-ready; freeze 50–100 production prompts; score Grok vs incumbent on pass rate, p95 latency, and $ / completed task at reasoning_effort=none and medium.
  5. Check context-tier pricing if any prompt exceeds ~200K input tokens.
  6. Update IAM, secrets, and observability dashboards to tag Mantle model IDs — Converse-only Cost Explorer filters will miss Grok spend.
  7. If you are net-new on agents post–July 30, 2026, route orchestration to AgentCore rather than Agents Classic.

What This Post Doesn’t Cover

  • A published FactualMinds latency/quality bakeoff of Grok 4.3 vs Sonnet 5 vs Terra on our internal prompt packs (no harness linked yet).
  • Batch, Provisioned Throughput, or Priority tier pricing for Grok 4.3 — confirm on the model card; GA notes reference on-demand only.
  • xAI first-party API vs Bedrock residency/compliance comparison beyond pointing at AWS procurement consolidation.
  • EU / non-US regional availability beyond the three US Regions AWS listed at GA.
  • Guardrails + Knowledge Bases composition on the same Converse call path without a proxy layer.

Use the rate card + your CUR. Promote lane-by-lane.


PP
Palaniappan P

AWS Cloud Architect & AI Expert

AWS-certified cloud architect and AI expert with deep expertise in cloud migrations, cost optimization, and generative AI on AWS.

AWS ArchitectureCloud MigrationGenAI on AWSCost OptimizationDevOps

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