It's not 128k for thinking on output?

I feel the same way. When I was writing a story today, I noticed that its maximum output has decreased. I had to use several more token to get it to finish the story.

When using Claude models with on-demand throughput in Amazon Bedrock, there are indeed differences between the advertised context window sizes and the actual token limits you can use in practice. For Claude models on Amazon Bedrock, there are two important considerations: 1. **Token Limits vs. Context Window**: While the models have a 200K token context window capability, the actual token limits for on-demand usage are lower. Claude Sonnet 4 appears to have a 65,536 token limit for on-demand usage, while Claude 3.7 Sonnet has a higher limit of 131,072 tokens. 2. **Prompt + Response Tokens**: It's important to note that the max_tokens parameter represents the combined total of your prompt tokens plus the maximum number of tokens you want in the response. With newer Claude models (3.7 and 4), if the sum of prompt tokens and max_tokens exceeds the model's context window, the system will return a validation error rather than automatically adjusting the max_tokens value. When using extended thinking features with Claude models, additional considerations apply. For example, the thinking budget (if enabled) must be set to a value less than max_tokens, except when using Interleaved thinking with tools, where the token limit becomes your entire context window (200K tokens). If you need higher token limits or throughput for your application, you have a few options: 1. Contact AWS Support directly to request quota increases for specific models. This requires creating a support case and explaining your use case in detail. 2. Consider using Provisioned Throughput instead of on-demand if you need consistent access to higher token limits, though this comes with additional costs. 3. Implement retry logic with exponential backoff in your application to handle any throttling exceptions that might occur. Unfortunately, detailed documentation specifically about the max token limits for on-demand throughput with Claude models can be hard to find. The behavior you're experiencing suggests that while the models technically support 200K tokens, the on-demand service has different limits applied. **Sources** Extended thinking - Amazon Bedrock Why cant i invoke claude 3.5 more than one per minute ? | AWS re:Post Building Agentic AI app with Strands Agents & MCP | AWS re:Post Can not increate invokeModel request to Claude 3.5 Sonnet v2 | AWS re:Post

~16k without extended reasoning: https://claude.ai/share/d1b8e553-b3f5-4134-9c39-401d6a14acba https://imgur.com/a/mS1Z8Zc Here's the attached document to get it not to hedge and stuff about length: https://gist.github.com/Richard-Weiss/3287ad8b02ac5ac380b01dcaaf622919 For API you can look here: https://docs.anthropic.com/en/docs/about-claude/models/overview#model-comparison-table