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Amazon Bedrock

Multi-vendor model access inside your existing AWS account

Overall in llm apis
4of 18 · score 73.1
Data coverage
93%
25 of 27 fields sourced

Best for

  • •Regulated workloads that must stay inside an existing AWS perimeter
  • •Australian data residency without self-hosting
  • •Teams that need a documented model lifecycle to satisfy an auditor

Strong on

  • +Effort control Yes 1/18
  • +Zero retention Yes 1/18
  • +AU region Yes 1/18
  • +Computer use Yes 1/18
  • +Notice period 180 days 1/7

Weak on

  • −OpenAI-compat API No 18/18
    Better: OpenAI: Yes
  • −Open weights Partial 12/18
    Better: Meta Llama: Yes
  • −$/M input $5/M tok 11/13
    Better: Groq: $0.05/M tok
  • −$/M output $25/M tok 11/13
    Better: Fireworks AI: $0.05/M tok

vs Google Gemini

  • •Ahead on Zero retention: Yes vs Partial
  • •Ahead on Computer use: Yes vs Partial
  • •Behind on OpenAI-compat API: No vs Yes
  • •Behind on Trains on your data: No vs Partial

How Amazon Bedrock scores among 18 llm apis25 of 27 fields known

Capability7

Flagship model
Multi-vendor, Claude Opus 4.8, Llama 4, Mistral, Nova Premier
docs.aws.amazon.com · 2026-06-24
Context window1st
1,000,000 tokens
1/14
· 2026-06-24
Max output
128,000 tokens
4/10
Leader: xAI · Unlimited
· 2026-06-24
Image input1st
Yes
1/18
docs.aws.amazon.com · 2026-06-24
Audio in/out1st
Partial
1/18
· 2026-01-15
Open weights
Partial
12/18
Leader: Meta Llama · Yes
· 2026-01-15
OpenAI-compat API
No
18/18
Leader: OpenAI · Yes
· 2026-06-24

Performance2

TTFT p50
—
Output tok/s
—

Pricing4

$/M input
$5/M tok
11/13
Leader: Groq · $0.05/M tok
platform.claude.com · 2026-11-07
$/M output
$25/M tok
11/13
Leader: Fireworks AI · $0.05/M tok
platform.claude.com · 2026-11-07
$/M cache read
$0.5/M tok
10/12
Leader: DeepSeek · $0.0028/M tok
platform.claude.com · 2026-11-07
Batch discount1st
50%
1/14
· 2026-01-15

Agentic6

Tool use1st
Yes
1/18
docs.aws.amazon.com · 2026-06-24
Schema output1st
Yes
1/18
docs.aws.amazon.com · 2026-06-24
Effort control1st
Yes
1/18
· 2026-06-24
Computer use1st
Yes
1/18
docs.aws.amazon.com · 2026-06-24
MCP support
No
6/18
Leader: Anthropic · Yes
· 2026-06-24
Cache TTL
5 min default, 1 h option; explicit breakpoints only
docs.aws.amazon.com · 2026-06-24

Governance & continuity6

Continuity policy
The most contractual answer in the category. Bedrock model IDs are versioned and move through a published Active to Legacy to end-of-life lifecycle with dated notices in the console and documentation, and legacy versions keep serving existing workloads after a successor lands. The cost of that stability is lag: new features reach Bedrock weeks to months after the first-party API, and some never do.
docs.aws.amazon.com · 2026-06-24
Notice period1st
180 days
1/7
docs.aws.amazon.com · 2026-11-07
Pinnable versions1st
Yes
1/18
docs.aws.amazon.com · 2026-06-24
Zero retention1st
Yes
1/18
docs.aws.amazon.com · 2026-01-15
Trains on your data
No
7/18
Leader: DeepSeek · Yes
docs.aws.amazon.com · 2026-01-15
AU region1st
Yes
1/18
· 2026-01-15

Traction1

API since3rd
2023
3/18
Leader: OpenAI · 2020

Positioning1

Positioning
Frontier models inside your existing AWS security perimeter