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GPT-4o vs MiMo 7B RL

OpenAI · released

Wins 0 of 2 areas

—

Xiaomi · released

Wins 2 of 2 areas

Coding · Reasoning

MiMo 7B RL is the stronger all-rounder.

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 and reasoning rest on a single test each.

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
MiMo 7B RLNo 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 MiMo 7B RL pulls ahead

  • Recent programming contest problemsLiveCodeBench v6+18.4points aheadMiMo 7B RL49.3GPT-4o30.9
  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+1.8points aheadMiMo 7B RL54.4GPT-4o52.6

Where GPT-4o pulls ahead

No clear win on a test scored out of 100.

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.

CodingMiMo 7B RL

Full coding ranking

ReasoningMiMo 7B RL

Full reasoning ranking

Other results8 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 MiMo 7B RL?

MiMo 7B RL wins all two areas where both have results: coding and reasoning. GPT-4o wins none.

Which is better for coding?

MiMo 7B RL. 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 2 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 8 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.