Amazon Bedrock vs Google: Token Pricing, Speed & Intelligence

Full comparison of Amazon Bedrock and Google — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Updated July 2026.

Amazon Bedrock

AWS-native LLM access — Nova, Claude, Llama, and more via one API

Amazon Bedrock is AWS's managed LLM service, providing access to Amazon's own Nova models alongside third-party models from Anthropic, Meta, Mistral, and others. It integrates natively with the AWS ecosystem including IAM, VPC, and CloudWatch, making it the default choice for teams already on AWS.

AWS-nativeEnterprise complianceMulti-modelHIPAA workloadsAgents

Proprietary modelsHosts open weights

Google

Gemini 2.5 — the largest context window at the lowest frontier price

Google DeepMind's Gemini family offers some of the most competitive frontier pricing, with Gemini 2.5 Pro delivering top-tier intelligence at $1.25/1M input tokens. The 1M+ token context window is the largest available. Gemini 2.5 Flash is a standout efficient model for vision and multimodal tasks.

VisionLong-contextCodingMultimodalCost-efficiency

Proprietary models

Key metrics

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths & weaknesses

Amazon Bedrock

Native AWS integration — IAM, VPC, CloudWatch, S3

Access to Claude, Llama, Mistral, and Amazon Nova via one API

Enterprise compliance: SOC 2, HIPAA, GDPR

Provisioned throughput for guaranteed capacity

No data leaves your AWS account

More complex setup than standalone inference APIs

Pricing can be higher than direct provider APIs

Latency overhead from AWS abstraction layer

Google

1M+ token context window — largest available

Best price-per-intelligence at frontier tier ($1.25/1M input)

Native multimodal: text, image, audio, video

Gemini 2.5 Flash is the best efficient vision model

Free tier available via Google AI Studio

No open-weight models

Complex tiered pricing based on context length

API reliability has historically lagged OpenAI

Key differentiators

Amazon Bedrock

The only way to run Claude, Llama, and Amazon Nova within your own AWS VPC — data never leaves your account.

Google

Gemini 2.5 Pro delivers frontier-tier intelligence at $1.25/1M input tokens — the best price-to-performance ratio among all frontier models.

Frequently asked questions

Amazon Bedrock FAQs

What models are available on Amazon Bedrock?

Amazon Bedrock offers Amazon Nova (Micro, Lite, Pro), Anthropic Claude (Haiku, Sonnet, Opus), Meta Llama 3.x, Mistral, Cohere, and others. The catalog varies by AWS region.

How does Amazon Bedrock pricing work?

Bedrock uses on-demand pricing per 1M tokens, similar to direct provider APIs. Provisioned throughput is available for guaranteed capacity at a fixed hourly rate. Prices are generally comparable to or slightly above direct provider pricing.

Is Amazon Bedrock HIPAA-compliant?

Yes. Amazon Bedrock is covered under AWS's HIPAA BAA, making it suitable for healthcare applications that require HIPAA compliance. Data processed through Bedrock stays within your AWS account.

Google FAQs

How much does the Google Gemini API cost?

Gemini 2.5 Pro costs $1.25/1M input tokens (up to 200K context) and $10/1M output. Gemini 2.5 Flash is $0.15/$0.60 per 1M tokens. Gemini 2.0 Flash is even cheaper at $0.10/$0.40 per 1M tokens.

What is the context window for Gemini models?

Gemini 2.5 Pro and Flash both support a 1,048,576-token (1M+) context window — the largest available from any major LLM provider. This makes them ideal for processing entire codebases, books, or long document collections.

Does Gemini support vision and multimodal inputs?

Yes. All Gemini 2.x models natively support images, audio, and video inputs alongside text. Gemini 2.5 Flash is particularly strong for vision tasks at a low cost.

Provider resources

Amazon Bedrock

Provider page Website Pricing Docs

Google

Provider page Website Pricing Docs

Amazon Bedrock — AWS-native LLM access — Nova, Claude, Llama, and more via one API

The only way to run Claude, Llama, and Amazon Nova within your own AWS VPC — data never leaves your account.

Google — Gemini 2.5 — the largest context window at the lowest frontier price

Gemini 2.5 Pro delivers frontier-tier intelligence at $1.25/1M input tokens — the best price-to-performance ratio among all frontier models.

Key strengths compared

Amazon Bedrock

▸Native AWS integration — IAM, VPC, CloudWatch, S3
▸Access to Claude, Llama, Mistral, and Amazon Nova via one API
▸Enterprise compliance: SOC 2, HIPAA, GDPR

Google

▸1M+ token context window — largest available
▸Best price-per-intelligence at frontier tier ($1.25/1M input)
▸Native multimodal: text, image, audio, video

Provider category context

Amazon Bedrock is a cloud, founded in 2023. Google is a frontier lab, founded in 1998. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.

How to choose between them

Choose Amazon Bedrock if you need native aws integration — iam, vpc, cloudwatch, s3. Choose Google if you need 1m+ token context window — largest available. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.