Benchmark Whitepaper

MiniMax M3 Benchmark Whitepaper

A model-specific whitepaper on the small MiniMax M3 benchmark sample in TuitionGoWhere.

Singapore

This whitepaper reviews how MiniMax M3 performed in the TuitionGoWhere benchmark. The benchmark used a separate evaluator model to score generated learning materials against language fit, syllabus fit, answer quality, exam format, notation, difficulty, missing-image risk, and other practical checks.

The results should be read as an internal quality signal, not a formal education certification. A score below 8.0 is treated as a review warning and is hidden from the main subject pages under the current quality policy.

Score Profile

Total reports 29
Quiz and paper reports 29
Overall score 9.5
Quiz and paper average 9.5
Below 8.0 0
Below-8 rate 0.0%

Content Coverage

Content type Reports Average score
Exam papers 15 9.4
Quizzes 14 9.5

Criterion Scores

Criterion Score Interpretation
Language suitability 10.0 Excellent level-appropriate language in the small sample.
LaTeX and notation handling 10.0 No notation issues in the sampled outputs.
Syllabus adherence 9.9 Very strong topic fit in Primary 1 materials.
Timeframe fit 9.9 Questions looked doable within the intended time.
Step-by-step answers 8.5 Answer working remained the lowest score area.
Template adherence 8.9 Template control was good but not fully proven.

Main Findings

  • MiniMax M3 produced the highest average score in the benchmark table, but the sample was too small for a broad conclusion.
  • The tested outputs were limited to Primary 1. Strong areas included Primary 1 Mathematics, Primary 1 English, and Primary 1 Chinese.
  • Because it was not tested across Secondary, O-Level, A-Level, or harder language subjects in this benchmark index, it should not yet be treated as the best general model.

Subject and Level Fit

  • Strong fit: early Primary practice in the available sample.
  • Not yet proven: Secondary, O-Level, A-Level, Mother Tongue at higher levels, and long exam papers.
  • Operational note: the high missing-image count mainly means the image pipeline still needs to catch up for visual questions.

Recurring Comment Themes

The benchmark comments were reviewed for repeated patterns. These themes overlap, so they should not be added together as independent failure counts.

  • The main limitation is sample size, not benchmark weakness.
  • Answer explanations were the lowest average score and should still be improved.
  • Template quality looked good, but it needs wider testing across paper types.
  • Missing visuals were common, but this should be separated from text quality during review.

Prompting and Workflow Implications

TuitionGoWhere does not publish its original internal prompts. The points below are high-level improvement directions based on the benchmark findings.

  • Run a wider benchmark before using MiniMax M3 as a default generation model.
  • Keep the simple language style that worked for Primary 1, but test whether it scales to older students.
  • Require clearer answer steps even for lower-primary questions.
  • Test it on non-English subjects before trusting it for Mother Tongue resources.

References