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VECTOR WIREAI INTELLIGENCE
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o1-mini vs Qwen2.5 Instruct 72B

OpenAI · released

Wins 2 of 2 areas

Coding · Reasoning

Alibaba · released

Wins 0 of 2 areas

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o1-mini is the stronger all-rounder.

Scores updated · 26 tests both models report · How we compare

Where each one wins

Tests won in each of the two areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.

What it costs

Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.

o1-miniNo current price is tracked.
Qwen2.5 Instruct 72B$0.47 to read · $0.49 to write$0.97Price from Artificial Analysis

The biggest differences

The tests each model wins by the widest margin, up to three each. Scores are out of 100.

Where o1-mini pulls ahead

  • Fixes real GitHub issues in Python projectsSWE-bench Verified+17.8points aheado1-mini41.6Qwen2.5 Instruct 72B23.8
  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+11.2points aheado1-mini60.3Qwen2.5 Instruct 72B49.1
  • Code for real scientific research problemsSciCode+5.6points aheado1-mini32.3Qwen2.5 Instruct 72B26.7

Where Qwen2.5 Instruct 72B pulls ahead

No clear win on a test scored out of 100.

Every test, side by side

All 26 tests both models report. The winning score is in its model's colour; marks a score checked independently.

Codingo1-mini

Full coding ranking

Reasoningo1-mini

Full reasoning ranking

Other results22 tests, not counted

Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.

Questions people ask

Which is better, o1-mini or Qwen2.5 Instruct 72B?

o1-mini wins all two areas where both have results: coding and reasoning. Qwen2.5 Instruct 72B wins none.

Which is better for coding?

o1-mini. It wins 2 of the 2 coding tests both models report; Qwen2.5 Instruct 72B wins none.

How do you compare the two?

We use the 26 benchmark tests both models have published scores on. The verdict counts the 4 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 22 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.