Qwen3.6-35B-A3B fails on array tool inputs

// 45d agoMODEL RELEASE

Qwen3.6-35B-A3B fails on array tool inputs

Qwen3.6-35B-A3B, a 35B parameter Mixture-of-Experts model, is facing criticism for incorrectly stringifying array inputs during tool calls. Despite specific "agentic coding" optimizations, the model struggles with schema adherence in complex workflows.

// ANALYSIS

Qwen3.6-35B-A3B is an impressive MoE model, but its tool-calling reliability is hit-or-miss for complex agentic tasks.

–The model incorrectly formats array parameters as stringified JSON (e.g., ["cmd"] becomes "[\"cmd\"]"), breaking standard tool execution.
–Even when provided with error feedback, the model often fails to correct its formatting in subsequent turns.
–Developers are forced to use "dirty" pre-parsing layers or custom Jinja templates to work around these formatting drifts.
–Despite these issues, its coding performance (SWE-bench Verified: 73.4) remains highly competitive for its size.

// TAGS

qwen3.6-35b-a3bqwenllmtool-callingagentai-codingopen-weightsmoe

DISCOVERED

45d ago

2026-04-17

PUBLISHED

45d ago

2026-04-17

RELEVANCE

9/ 10

AUTHOR

benevbright

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Qwen3.6-35B-A3B fails on array tool inputs