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mlx-community/Qwen3.6-35B-A3B-4bit
Released Context 0Kmlx-community-qwen3.6-35b-a3b-4bit
PipelineScore
83.7MAINLINERanked #11 of 52 models · 79th percentileRAG is the headline (100.0); code is the soft spot (75.0). Best-fit profile: Agentic.
Category breakdown
Score per category, normalized 0–100 against the v1 anchor.
Code
75.0
Reason
80.0
Tool Use
87.5
RAG
100.0
Speed
82.5
Strengths
RAG100.0
Tool Use87.5
Speed82.5
Sample tasks
A taste of what the test pack measures. Full prompts are private and rotated daily.
CodeDifficulty 1code-fib-1
Fibonacci function
Write a Python `fib(n)` returning the nth Fibonacci number, O(n).
ReasonDifficulty 1reason-math-1
Train meeting time
Two trains, opposite directions, given speeds and start times — when do they meet?
RAGDifficulty 2rag-extract-1
Extract metrics to JSON
From the context, extract net sales, operating margin, and free cash flow as a JSON object. Numbers only.
Tool UseDifficulty 2tool-schema-1
OpenAPI param selection
Given an OpenAPI schema with limit/offset/sort, fill JSON for 'next 50, recent first.'
RAGDifficulty 2rag-grounding-1
Refuses to fabricate
Context lacks the answer — does the model fabricate or correctly say it can't?