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VECTOR WIREAI INTELLIGENCE
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Qwen3.5 0.8B vs Qwen3.5 4B

Alibaba · released

Wins 0 of 7 areas

—

Alibaba · released

Wins 6 of 7 areas

Coding · Agents · Reasoning · Images and charts · Long documents · Following instructions

Qwen3.5 4B is the stronger all-rounder.

Scores updated · 31 tests both models report · How we compare

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.

Qwen3.5 0.8BNo current price is tracked.
Qwen3.5 4B$0.03 to read · $0.15 to write$0.18Price 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 Qwen3.5 4B pulls ahead

  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+66points aheadQwen3.5 4B77.1Qwen3.5 0.8B11.1
  • Reasons across sets of long documentsAA-LCR+54points aheadQwen3.5 4B63Qwen3.5 0.8B9
  • Harder college exam questions with imagesMMMU-Pro+39.6points aheadQwen3.5 4B65.4Qwen3.5 0.8B25.8

Where Qwen3.5 0.8B pulls ahead

Every test, side by side

All 31 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingQwen3.5 4B

Full coding ranking

AgentsQwen3.5 4B

Full agents ranking

ReasoningQwen3.5 4B

Full reasoning ranking

FactsEven

Full facts ranking

Images and chartsQwen3.5 4B

Full images and charts ranking

Long documentsQwen3.5 4B

Full long documents ranking

Following instructionsQwen3.5 4B

Full following instructions ranking

Other results17 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, Qwen3.5 0.8B or Qwen3.5 4B?

Qwen3.5 4B wins six of the seven areas where both have results: coding, agents, reasoning, images and charts, long documents and following instructions. Qwen3.5 0.8B wins none. They are level on facts.

Which is better for coding?

Qwen3.5 4B. It wins 3 of the 3 coding tests both models report; Qwen3.5 0.8B wins none.

How do you compare the two?

We use the 31 benchmark tests both models have published scores on. The verdict counts the 14 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 17 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.