Which AWS Bedrock Model to Choose by Use Case: 2026 Decision Guide

Bedrock's 2026 catalog has models ranging from $0.035 to $75 per million tokens -- a price range of more than 2,000x between the cheapest and the most expensive. Choosing wrong isn't a minor mistake, it's a direct cost multiplier.

The 2026 catalog, summarized

The catalog includes Anthropic's Claude family (Opus 4.7, Sonnet 4.6, Haiku 4.5), Meta's Llama 4 (which brought mixture-of-experts architecture to the Llama line on Bedrock), Mistral Large 2 and Mixtral, Cohere Command R+, AI21 Jamba, Stability AI image models, and Amazon's own families: Titan and Nova 2 (Lite, Sonic, Multimodal Embeddings), launched in late 2025 and early 2026.

The real price range

Costs range from $0.035 per million input tokens (Nova Micro) to $75 per million output tokens (Claude Opus 4.7) -- a difference of more than 2,000x between the catalog's extremes. Choosing the right model for each specific task, instead of using the same "safe" model for everything, is the biggest cost lever available before touching any other optimization.

Decision criteria by task type

For simple classification, data extraction, or short, low-complexity answers: Nova Micro or Nova Lite. For medium-complexity tasks with a good cost-quality balance: Nova Pro or Llama 4 70B. For complex reasoning, multi-step agents, or tasks where response quality matters more than marginal cost: Claude Sonnet or Claude Opus. The practical rule: start the evaluation with the cheapest model that could plausibly solve the task, and move up a tier only if quality metrics don't hit the acceptable threshold.

The real value isn't just in the model -- it's in consolidation

The real advantage for AWS enterprise customers is consolidation: a single IAM policy, a single billing line, a single VPC endpoint, a single CloudTrail audit log covering every model call, regardless of which provider is behind each one. It's an operational advantage that no model catalog by itself can offer.

A catalog that changes fast

Available models and specific versions change frequently -- it's worth checking the AWS Bedrock console or the model catalog API for the current list in your region before designing an architecture around a specific model version, since the exact snapshot can be deprecated or replaced without extensive advance notice.