Skip to content
VECTOR WIREAI INTELLIGENCE
UTC

Gemini 2.0 Flash (Reasoning) vs o3

Google

Wins 0 of 3 areas

—

OpenAI · released

Wins 3 of 3 areas

Coding · Reasoning · Images and charts

o3 is the stronger all-rounder.

Scores updated · 15 tests both models report · How we compare

Where each one wins

Tests won in each of the three 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.

Gemini 2.0 Flash (Reasoning)No current price is tracked.
o3$2.00 to read · $8.00 to write$10Price 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 o3 pulls ahead

  • Fixes real GitHub issues in Python projectsSWE-bench Verified+55.6points aheado369.1Gemini 2.0 Flash (Reasoning)13.5
  • Common-sense trick questionsSimpleBench+22.4points aheado353.1Gemini 2.0 Flash (Reasoning)30.7
  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+8.5points aheado382.7Gemini 2.0 Flash (Reasoning)74.2

Where Gemini 2.0 Flash (Reasoning) pulls ahead

No clear win on a test scored out of 100.

Every test, side by side

All 15 tests both models report. The winning score is in its model's colour; marks a score checked independently.

Codingo3

Full coding ranking

Reasoningo3

Full reasoning ranking

Images and chartso3

Full images and charts ranking

Other results10 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, Gemini 2.0 Flash (Reasoning) or o3?

o3 wins all three areas where both have results: coding, reasoning and images and charts. Gemini 2.0 Flash (Reasoning) wins none.

Which is better for coding?

o3. It wins the one coding test both models report.

How do you compare the two?

We use the 15 benchmark tests both models have published scores on. The verdict counts the 5 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 10 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.