Researched the model under test. Qwen3-Coder-Next is a 3B-activated MoE (80B
total, Feb 2026) trained for AGENTIC coding (codebase + tools + RL on
environment feedback), not one-shot generation of unfamiliar syntax — exactly
our task, so we tested its weakest discipline. Its tool-calling strength is
agentic environment interaction, not emitting deep structured AST JSON,
consistent with the tool probe being worst. The format direction is likely
general but the magnitude is model-specific; bigger active models on the same
IONOS endpoint (Llama-3.1-405B, Llama-3.3-70B) were never tried and are the
obvious next step to separate format-effect from small-model-effect.
Brummel
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