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VECTOR WIREAI INTELLIGENCE
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Ministral 3 3B vs Qwen3 VL 2B Instruct

Mistral · released

Wins 0 of 1 area

—

Alibaba · released

Wins 1 of 1 area

Images and charts

Qwen3 VL 2B Instruct is the stronger all-rounder.

Scores updated · 13 tests both models report · How we compare

Where each one wins

Tests won in each of the one area 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.

Images and charts 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.

Ministral 3 3B$0.10 to read · $0.10 to write$0.20Price from Artificial Analysis
Qwen3 VL 2B InstructNo 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 Qwen3 VL 2B Instruct pulls ahead

  • Reads text in imagesOCRBench+1.6points aheadQwen3 VL 2B Instruct75.1Ministral 3 3B73.5

Where Ministral 3 3B pulls ahead

No clear win on a test scored out of 100.

Every test, side by side

All 13 tests both models report. The winning score is in its model's colour; marks a score checked independently.

Images and chartsQwen3 VL 2B Instruct
  • OCRBenchQwen3 VL 2B Instruct by 1.673.575.1+1.6

Full images and charts ranking

Other results12 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, Ministral 3 3B or Qwen3 VL 2B Instruct?

Qwen3 VL 2B Instruct wins the one area where both have results: images and charts. Ministral 3 3B wins none.

How do you compare the two?

We use the 13 benchmark tests both models have published scores on. The verdict counts the 1 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 12 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.