Loading page...Загружаем страницу...正在加载页面...
AtlasRepo

Measuring MiniMax M3.1 Flash's Five Effort Levels on One Bug Fix

Description and use

Measuring MiniMax M3.1 Flash's five effort levels on a single bug fix showed that the default (omitted) uses the maximum effort, costing 6,364 thinking tokens, 56 s, and $0.0045. The low level uses 591 tokens, 9.5 s, and $0.0006 with no quality loss.

Problem

Code migrated from MiniMax M2.x never set an effort level, causing the model to run at the most expensive setting by default.

Outcome

All effort levels produced perfect bug‑fix code. The default (omitted) level used 6,364 thinking tokens, 56 s, and $0.0045 per fix. The low level used 591 tokens, 9.5 s, and $0.0006, a 7× cost reduction with no loss in quality.

Workflow

  • Set up OpenAI client with AIHubMix endpoint
  • Read bug‑fix prompt from file
  • Iterate over effort levels [None, low, medium, high, xhigh, max]
  • For each level run three trials: send request with or without reasoning_effort field
  • Measure time, completion tokens, reasoning tokens
  • Print results
  • Aggregate averages for each level

Evidence

We ran the same two‑bug fix through MiniMax M3.1 Flash at all five effort levels plus "omitted", three runs each, and graded every answer against 215 hidden tests. Every run passed.

Source

The omitted default, which MiniMax documents as <code>max</code>, averaged 6,364 thinking tokens, 56 seconds, and $0.0045 per fix.

Source

Set <code>low</code> explicitly and move up per task.

Source

  • Record date: 2026-10-19T11:41:27.926Z