Amazon Bedrock vs Meta: Token Pricing, Speed & Intelligence
Full comparison of Amazon Bedrock and Meta — 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.
Meta
Llama 4 & Muse Spark — the world's most widely deployed open-weight models
Meta AI is the creator of the Llama model family, the most widely used open-weight LLMs in the world. Llama models are available via Meta's own API and through dozens of third-party inference providers. The Llama 4 series includes Behemoth (2T params), Scout, and Maverick, with 1M-token context windows. Meta also offers Muse Spark, a proprietary multimodal model. Because Llama weights are open, teams can self-host on GPU cloud for dramatically lower per-token costs at scale.
Key metrics
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Live token pricing
Strengths & weaknesses
Amazon Bedrock
Meta
Key differentiators
The only way to run Claude, Llama, and Amazon Nova within your own AWS VPC — data never leaves your account.
The only frontier-class model family available as open weights — enabling self-hosted inference on GPU cloud at a fraction of API pricing for high-volume workloads.
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.
Meta FAQs
What is the Llama 4 context window?
Llama 4 Scout and Maverick support 1,000,000-token (1M) context windows. Llama 4 Behemoth also targets 1M context. This makes Llama 4 competitive with Gemini 1.5 Pro for long-document and multi-document tasks.
How much does the Meta Llama API cost?
Llama 3.2 1B is $0.02/1M tokens in/out. Llama 3.2 3B is $0.03/$0.05. Llama 3.1 8B is $0.02/$0.05. Llama 3.2 90B Vision is $1.20/$1.20. Muse Spark 1.1 is $1.25/$4.25. Llama 4 Behemoth pricing is not yet publicly listed.
Can I self-host Llama models?
Yes — all Llama 3.x and Llama 4 Scout/Maverick weights are publicly available under the Llama Community License. You can run them on any GPU cloud provider. A single H100 at ~$2.50/hr can serve Llama 3.1 8B at very high throughput, making self-hosting cost-effective above ~10M tokens/day.
Provider resources
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.
The only way to run Claude, Llama, and Amazon Nova within your own AWS VPC — data never leaves your account.
Meta — Llama 4 & Muse Spark — the world's most widely deployed open-weight models
Meta AI is the creator of the Llama model family, the most widely used open-weight LLMs in the world. Llama models are available via Meta's own API and through dozens of third-party inference providers. The Llama 4 series includes Behemoth (2T params), Scout, and Maverick, with 1M-token context windows. Meta also offers Muse Spark, a proprietary multimodal model. Because Llama weights are open, teams can self-host on GPU cloud for dramatically lower per-token costs at scale.
The only frontier-class model family available as open weights — enabling self-hosted inference on GPU cloud at a fraction of API pricing for high-volume workloads.
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
Meta
- ▸Open-weight models — self-host on any GPU cloud for lowest per-token cost at scale
- ▸Llama 4 Behemoth: 2T parameter frontier model with 1M context window
- ▸Widest third-party hosting ecosystem — available on AWS, Azure, GCP, Together AI, Groq, and 20+ others
Provider category context
Amazon Bedrock is a cloud, founded in 2023. Meta is a open source host, founded in 2023. 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 Meta if you need open-weight models — self-host on any gpu cloud for lowest per-token cost at scale. 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.