What specific problem does this solve?

The Roo Code extension currently lacks support for the Qwen/Qwen3-235B-A22B-Instruct-2507 model on the Chutes AI provider, which offers a massive 262,144 token context window. This limits users who want to work with extremely long documents, large codebases, or extensive context requirements.

Who is affected: All Roo Code users who need to process very long documents or work with large context windows.

When this happens: When users need to analyze, generate, or process content that exceeds the context limits of currently supported models.

Current behavior: Users are limited to models with smaller context windows (up to 163,840 tokens for DeepSeek models on Chutes). For tasks requiring larger context, users must either break their work into smaller chunks or use external tools.

Expected behavior: Users should be able to select the Qwen/Qwen3-235B-A22B-Instruct-2507 model from the Chutes AI provider, giving them access to a 262,144 token context window for processing extremely long documents and complex codebases in a single request.

Impact: Without this model, users waste significant time breaking large tasks into smaller chunks, lose context coherence between chunks, and experience reduced productivity when working with large documents. The addition of this model would enable processing of entire codebases, lengthy technical documents, or extensive research papers in a single context, dramatically improving workflow efficiency.

Additional context

The Qwen/Qwen3-235B-A22B-Instruct-2507 model offers:

• 262,144 token context window (largest available on Chutes)
• 235B total parameters with 22B activated
• 94 layers
• Optimized for instruction following
• Free to use (no input/output pricing)

This model is particularly valuable for:

• Analyzing entire codebases in a single context
• Processing lengthy technical documentation
• Working with large research papers or books
• Complex reasoning tasks requiring extensive context