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Amazon Bedrock vs Baseten: Token Pricing, Speed & Intelligence

Full comparison of Amazon Bedrock and Baseten — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

Amazon Bedrock

AWS-native LLM access — Nova, Claude, Llama, DeepSeek, MiniMax, Kimi and more

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. The 2026 catalog has expanded to include DeepSeek v3.2, MiniMax M1, Moonshot Kimi 3, Z.AI GLM 5, and Writer Palmyra. 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

Baseten

Production ML infrastructure — deploy any model with custom serving, autoscaling, and GPU selection

Baseten is a production ML infrastructure platform for deploying custom and open-weight models with full control over serving configuration, GPU selection, autoscaling, and cold-start behavior. Unlike managed inference APIs, Baseten lets you bring your own model weights, custom preprocessing, and serving logic. It supports Truss (Baseten's open-source model packaging format), vLLM, TensorRT-LLM, and custom Python serving code. Ideal for teams that need more control than a managed API but less overhead than raw Kubernetes.

Custom model deploymentFine-tuned modelsML infrastructureProduction servingOpen-weight models
Open-weight hostHosts open weights

Key metric comparison

Cheapest input ($/1M)

$0.04

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Cheapest output ($/1M)

$0.14

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Peak throughput

500 tok/s

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Best latency (TTFT)

150ms

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Intelligence score

72/100

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Context window

300K

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Live token pricing

Amazon Bedrocklive pricing

← Swipe to see all columns

ModelInputOutput
amazon.nova-pro-v1:0$0.80EST Jul 2026$3.20
amazon.nova-lite-v1:0$0.06EST Jul 2026$0.24
amazon.nova-micro-v1:0$0.04EST Jul 2026$0.14
us.amazon.nova-premier-v1:0$2.50EST Jul 2026$12.50
Basetenlive pricing

No live pricing data available.

Strengths and weaknesses

Amazon Bedrock

Native AWS integration — IAM, VPC, CloudWatch, S3
Expanded 2026 catalog: DeepSeek v3.2, MiniMax, Kimi 3, Z.AI GLM 5, Writer Palmyra
Access to Claude, Llama, Mistral, and Amazon Nova via one API
Enterprise compliance: SOC 2, HIPAA, GDPR
Provisioned Throughput: reserve dedicated capacity at a fixed hourly rate
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

Baseten

Full control over model serving: custom preprocessing, postprocessing, and business logic
Bring your own weights — deploy any HuggingFace model or custom fine-tune
GPU selection: H100, A100, A10G, T4 with per-second billing
Autoscaling including scale-to-zero for cost efficiency
Truss open-source packaging format for reproducible model deployments
More setup required than managed APIs — not a drop-in OpenAI replacement
Cold starts on scale-to-zero deployments (configurable warm pool available)
Pricing is higher than shared inference APIs for low-volume workloads

Key differentiators

Amazon Bedrock

Run Claude, Llama, DeepSeek, and Amazon Nova within your own AWS VPC — data never leaves your account, with a broad third-party model catalog available through a single API.

Baseten

The production ML platform that gives you managed-API convenience with custom-serving flexibility — deploy any model with your own preprocessing logic, GPU selection, and autoscaling without managing Kubernetes.

Frequently asked questions

Amazon Bedrock FAQs

What models are available on Amazon Bedrock in 2026?

Amazon Bedrock offers Amazon Nova (Micro, Lite, Pro), Anthropic Claude 5 family, Meta Llama 4, Mistral, Cohere, DeepSeek v3.2, MiniMax M1, Moonshot Kimi 3, Z.AI GLM 5, Writer Palmyra, 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 reserved 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.

Baseten FAQs

What is Baseten?

Baseten is a production ML infrastructure platform for deploying AI models with custom serving logic, GPU selection, and autoscaling. It supports any open-weight model or custom fine-tune via the Truss packaging format.

How does Baseten differ from Together AI or Replicate?

Baseten gives you full control over the serving stack — custom preprocessing, postprocessing, GPU selection, and autoscaling behavior. Together AI and Replicate are managed APIs with fixed serving; Baseten is for teams that need custom model serving logic.

What GPUs does Baseten support?

Baseten supports H100 SXM, H100 PCIe, A100 80GB, A10G, and T4 GPUs with per-second billing. You select the GPU type per deployment based on your model's memory and throughput requirements.

Provider resources

Key strengths compared

Amazon Bedrock

  • Native AWS integration — IAM, VPC, CloudWatch, S3
  • Expanded 2026 catalog: DeepSeek v3.2, MiniMax, Kimi 3, Z.AI GLM 5, Writer Palmyra
  • Access to Claude, Llama, Mistral, and Amazon Nova via one API
  • More complex setup than standalone inference APIs
  • Pricing can be higher than direct provider APIs

Baseten

  • Full control over model serving: custom preprocessing, postprocessing, and business logic
  • Bring your own weights — deploy any HuggingFace model or custom fine-tune
  • GPU selection: H100, A100, A10G, T4 with per-second billing
  • More setup required than managed APIs — not a drop-in OpenAI replacement
  • Cold starts on scale-to-zero deployments (configurable warm pool available)

Key weaknesses compared

Amazon Bedrock

  • More complex setup than standalone inference APIs
  • Pricing can be higher than direct provider APIs
  • Latency overhead from AWS abstraction layer

Baseten

  • More setup required than managed APIs — not a drop-in OpenAI replacement
  • Cold starts on scale-to-zero deployments (configurable warm pool available)
  • Pricing is higher than shared inference APIs for low-volume workloads

Provider category context

Amazon Bedrock is a cloud, founded in 2023. Baseten is a inference api, founded in 2019. 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 Baseten if you need full control over model serving: custom preprocessing, postprocessing, and business logic. 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.