Amazon Bedrock vs Modal: Token Pricing, Speed & Intelligence
Full comparison of Amazon Bedrock and Modal — 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.
Modal
Managed inference API — 10 shared-endpoint models with per-token pricing
Modal Shared Endpoints serve a fixed catalog of models from Modal-managed pools. Modal manages the hardware and autoscaling, and usage is billed per token. Shared Endpoints have model-specific concurrency limits on concurrent in-flight requests. Prices are published rates from modal.com/docs/guide/supported-models.md, re-read 2026-10-31.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Amazon Bedrock
Modal
Key differentiators
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.
Modal Shared Endpoints provide managed per-token inference on a fixed 10-model catalog with published cached-input pricing and no infrastructure to manage.
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.
Modal FAQs
What models does Modal offer on Shared Endpoints?
Modal Shared Endpoints currently serve 10 models: GLM 5.3 Flash NVFP4, DeepSeek V4.1 Flash 1017, DeepSeek V4.1 Flash, GLM 5.3 Flash, Muse Spark Open, GLM 5.3, Inkling NVFP4, Qwen3.8-Max, Qwen3.8-Max VL, and Kimi K3. Use the model table above for per-model pricing and capability details. Source: Modal's published Shared Endpoints catalog, re-read 2026-10-31.
How much does Modal charge per 1M tokens?
Modal Shared Endpoints input prices range from $0.15/1M (GLM 5.3 Flash NVFP4) to $3.00/1M (Kimi K3). All models include cached-input pricing. See the model table for full per-model rates.
Does Modal offer prompt caching?
Yes. All 10 models in the Modal Shared Endpoints catalog have published cached-input pricing, ranging from $0.005/1M (DeepSeek V4.1 Flash 1017) to $0.30/1M (Kimi K3). Depending on the model, the cached-input rate is 77.5% to 98% below the standard input rate. Source: Modal's published Shared Endpoints rates, re-read 2026-10-31.
Provider resources
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.
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.
Modal — Managed inference API — 10 shared-endpoint models with per-token pricing
Modal Shared Endpoints serve a fixed catalog of models from Modal-managed pools. Modal manages the hardware and autoscaling, and usage is billed per token. Shared Endpoints have model-specific concurrency limits on concurrent in-flight requests. Prices are published rates from modal.com/docs/guide/supported-models.md, re-read 2026-10-31.
Modal Shared Endpoints provide managed per-token inference on a fixed 10-model catalog with published cached-input pricing and no infrastructure to manage.
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
Modal
- Managed hardware and autoscaling — no infrastructure to operate
- Published per-token rates including cached-input pricing
- OpenAI-style per-token billing across all 10 models
- Small fixed catalog of 10 models
- Model-specific concurrency limits on shared pools
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
Modal
- Small fixed catalog of 10 models
- Model-specific concurrency limits on shared pools
- Prices are published rates re-read 2026-10-31, not continuously collected
Provider category context
Amazon Bedrock is a cloud, founded in 2023. Modal is a inference api. 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 Modal if you need managed hardware and autoscaling — no infrastructure to operate. 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.