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VECTOR WIREAI INTELLIGENCE
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GPT-4o vs Mistral Medium (Non-Reasoning)

OpenAI · released

Wins 1 of 2 areas

Coding

Mistral · released

Wins 0 of 2 areas

—

GPT-4o wins more areas, narrowly.

Scores updated · 10 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.

Coding rests on a single test.

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.

GPT-4o$5.00 to read · $15.00 to write$20Price from Artificial Analysis
Mistral Medium (Non-Reasoning)No current price is tracked.

The biggest differences

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

Where GPT-4o pulls ahead

  • Code for real scientific research problemsSciCode+21.5points aheadGPT-4o33.3Mistral Medium (Non-Reasoning)11.8
  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+17.7points aheadGPT-4o52.6Mistral Medium (Non-Reasoning)34.9

Where Mistral Medium (Non-Reasoning) pulls ahead

  • Very hard expert questions across many subjectsHumanity's Last Exam+1.7points aheadMistral Medium (Non-Reasoning)3.5GPT-4o1.8

Every test, side by side

All 10 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingGPT-4o

Full coding ranking

ReasoningEven

Full reasoning ranking

Other results7 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, GPT-4o or Mistral Medium (Non-Reasoning)?

GPT-4o wins one of the two areas where both have results: coding. Mistral Medium (Non-Reasoning) wins none. They are level on reasoning.

Which is better for coding?

GPT-4o. It wins the one coding test both models report.

How do you compare the two?

We use the 10 benchmark tests both models have published scores on. The verdict counts the 3 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 7 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.