Amazon Bedrock vs Together AI: Token Pricing, Speed & Intelligence

Full comparison of Amazon Bedrock and Together AI — 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

Together AI

Open-source model hosting with competitive inference pricing

Together AI specialises in hosting open-weight models including the full Llama family, Mixtral, and DeepSeek variants. They offer live pricing via their public API and support fine-tuning workflows. A popular choice for teams that want open-source flexibility without managing their own GPU infrastructure.

Open-sourceFine-tuningCodingChatCost-efficiency

Open-weight hostHosts open weights

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

Together AI

Largest selection of open-weight models

Fine-tuning support for custom model training

OpenAI-compatible API — easy migration

Competitive pricing on Llama 3.x models

Supports 405B parameter models

No proprietary frontier models

Throughput lower than Groq/Cerebras for speed-critical apps

Fine-tuning adds complexity vs. pure inference providers

Key differentiators

Amazon Bedrock

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

Together AI

The broadest open-weight model catalog with fine-tuning support — ideal for teams that need model customisation without self-hosting.

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.

Together AI FAQs

What models does Together AI support?

Together AI hosts 100+ open-weight models including the full Llama 3.x family (8B, 70B, 405B), Mixtral, DeepSeek R1, Qwen, and many others. They also support custom fine-tuned model deployment.

How much does Together AI cost?

Llama 3.3 70B costs $0.88/1M tokens (input and output). Llama 3.1 405B is $3.50/1M tokens. Smaller models like Llama 3.2 11B Vision start at $0.18/1M tokens.

Does Together AI support fine-tuning?

Yes. Together AI offers supervised fine-tuning for Llama and other open-weight models. You can upload training data, run fine-tuning jobs, and deploy the resulting model via their inference API.

Provider resources

Amazon Bedrock

Provider page Website Pricing Docs

Together AI

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.

Together AI — Open-source model hosting with competitive inference pricing

The broadest open-weight model catalog with fine-tuning support — ideal for teams that need model customisation without self-hosting.

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

Together AI

▸Largest selection of open-weight models
▸Fine-tuning support for custom model training
▸OpenAI-compatible API — easy migration

Provider category context

Amazon Bedrock is a cloud, founded in 2023. Together AI is a inference api, founded in 2022. 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 Together AI if you need largest selection of open-weight models. 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.