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VECTOR WIREAI INTELLIGENCE
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Llama 3.2 3B Instruct vs Qwen3 4B 2507 Instruct

Meta · released

Wins 0 of 5 areas

—

Alibaba · released

Wins 4 of 5 areas

Coding · Reasoning · Long documents · Following instructions

Qwen3 4B 2507 Instruct is the stronger all-rounder.

Scores updated · 20 tests both models report · How we compare

Where each one wins

Tests won in each of the five 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.

Long documents and following instructions 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.

Llama 3.2 3B Instruct$0.05 to read · $0.33 to write$0.38Price from meta-llama
Qwen3 4B 2507 Instruct$0.01 to read · $0.03 to write$0.04Price from nscale

Qwen3 4B 2507 Instruct costs 89% less for the same work.

The biggest differences

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

Where Qwen3 4B 2507 Instruct pulls ahead

  • Recent programming contest problemsLiveCodeBench v6+37.2points aheadQwen3 4B 2507 Instruct48.7Llama 3.2 3B Instruct11.5
  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+26.2points aheadQwen3 4B 2507 Instruct51.7Llama 3.2 3B Instruct25.5
  • Code for real scientific research problemsSciCode+12.9points aheadQwen3 4B 2507 Instruct18.1Llama 3.2 3B Instruct5.2

Where Llama 3.2 3B Instruct pulls ahead

Every test, side by side

All 20 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingQwen3 4B 2507 Instruct

Full coding ranking

ReasoningQwen3 4B 2507 Instruct

Full reasoning ranking

FactsEven

Full facts ranking

Long documentsQwen3 4B 2507 Instruct
  • AA-LCRQwen3 4B 2507 Instruct by 74.311.3+7

Full long documents ranking

Following instructionsQwen3 4B 2507 Instruct
  • IFBenchQwen3 4B 2507 Instruct by 7.326.233.5+7.3

Full following instructions 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.

  • HumanEval+Qwen3 4B 2507 Instruct by 58.224.182.3+58.2
  • MATH-500 (EM)Qwen3 4B 2507 Instruct by 44.441.285.6+44.4
  • LCB v5Qwen3 4B 2507 Instruct by 39.311.550.8+39.3
  • MGSMQwen3 4B 2507 Instruct by 23.658.281.8+23.6
  • MMLU-ProQwen3 4B 2507 Instruct by 17.33552.3+17.3
  • AA-OmniscienceLlama 3.2 3B Instruct by 14.4-47.5-61.9+14.4
  • MMMLUQwen3 4B 2507 Instruct by 12.847.960.7+12.8
  • MMLUQwen3 4B 2507 Instruct by 11.960.472.3+11.9
  • GSM8KLlama 3.2 3B Instruct by 9.277.768.5+9.2
  • IFEvalQwen3 4B 2507 Instruct by 8.277.485.6+8.2
  • τ²-Bench Telecom (AA run)Qwen3 4B 2507 Instruct by 5.521.126.6+5.5
  • AA IntelligenceQwen3 4B 2507 Instruct by 15.76.7+1

Questions people ask

Which is better, Llama 3.2 3B Instruct or Qwen3 4B 2507 Instruct?

Qwen3 4B 2507 Instruct wins four of the five areas where both have results: coding, reasoning, long documents and following instructions. Llama 3.2 3B Instruct wins none. They are level on facts.

Which is better for coding?

Qwen3 4B 2507 Instruct. It wins 2 of the 2 coding tests both models report; Llama 3.2 3B Instruct wins none.

Which is cheaper?

Llama 3.2 3B Instruct costs $0.05 per million input tokens and $0.33 per million output tokens; Qwen3 4B 2507 Instruct costs $0.01 and $0.03. That makes Qwen3 4B 2507 Instruct about 89% cheaper for the same work.

How do you compare the two?

We use the 20 benchmark tests both models have published scores on. The verdict counts the 8 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.