Llama 3.2 Instruct 1B vs Qwen3 4B 2507 Instruct
Wins 0 of 5 areas
—
Wins 3 of 5 areas
Coding · Long documents · Following instructions
Qwen3 4B 2507 Instruct is the stronger all-rounder.
Scores updated · 23 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.
- CodingWriting and fixing software03Qwen3 4B 2507 Instruct3 of 3 tests
- Long documentsFinding answers in very long texts01Qwen3 4B 2507 Instruct1 of 1 test
- Following instructionsDoing exactly what it is asked01Qwen3 4B 2507 Instruct1 of 1 test
- ReasoningHard problems that need careful thinking11Even1 each · 1 tie
- FactsGetting facts right instead of making them up11Even1 each
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.
Qwen3 4B 2507 Instruct costs 82% 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+44.6points ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+32.1points ahead
- Code for real scientific research problemsSciCode+16.4points ahead
Where Llama 3.2 Instruct 1B pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+15.4points ahead
- Very hard expert questions across many subjectsHumanity's Last Exam+1points ahead
Every test, side by side
All 23 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingQwen3 4B 2507 Instruct
- LiveCodeBench v6Qwen3 4B 2507 Instruct by 44.64.148.7+44.6
- SciCodeQwen3 4B 2507 Instruct by 16.41.718.1+16.4
- Terminal-Bench HardQwen3 4B 2507 Instruct by 4.504.5+4.5
ReasoningEven
- GPQA DiamondQwen3 4B 2507 Instruct by 32.119.651.7+32.1
- Humanity's Last ExamLlama 3.2 Instruct 1B by 15.54.5+1
- CritPttie00tie
FactsEven
- AA-Omniscience · Non-hallucinationLlama 3.2 Instruct 1B by 15.433.718.3+15.4
- AA-Omniscience · AccuracyQwen3 4B 2507 Instruct by 3.9710.9+3.9
Long documentsQwen3 4B 2507 Instruct
- AA-LCRQwen3 4B 2507 Instruct by 4.66.711.3+4.6
Following instructionsQwen3 4B 2507 Instruct
- IFBenchQwen3 4B 2507 Instruct by 10.722.833.5+10.7
Other results13 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.
- MATH-500 (EM)Qwen3 4B 2507 Instruct by 62.223.485.6+62.2
- HumanEval+Qwen3 4B 2507 Instruct by 59.123.282.3+59.1
- MGSMQwen3 4B 2507 Instruct by 52.729.181.8+52.7
- LCB v5Qwen3 4B 2507 Instruct by 47.23.650.8+47.2
- IFEvalQwen3 4B 2507 Instruct by 33.252.485.6+33.2
- GSM8KQwen3 4B 2507 Instruct by 32.835.768.5+32.8
- MMLU-ProQwen3 4B 2507 Instruct by 31.520.852.3+31.5
- τ²-Bench Telecom (AA run)Qwen3 4B 2507 Instruct by 26.6026.6+26.6
- MMLUQwen3 4B 2507 Instruct by 25.746.672.3+25.7
- MMMLUQwen3 4B 2507 Instruct by 22.538.160.7+22.5
- AA Agentic IndexQwen3 4B 2507 Instruct by 8.908.9+8.9
- AA-OmniscienceLlama 3.2 Instruct 1B by 7.2-54.7-61.9+7.2
- AA IntelligenceQwen3 4B 2507 Instruct by 1.94.86.7+1.9
Questions people ask
Which is better, Llama 3.2 Instruct 1B or Qwen3 4B 2507 Instruct?
Qwen3 4B 2507 Instruct wins three of the five areas where both have results: coding, long documents and following instructions. Llama 3.2 Instruct 1B wins none. They are level on reasoning and facts.
Which is better for coding?
Qwen3 4B 2507 Instruct. It wins 3 of the 3 coding tests both models report; Llama 3.2 Instruct 1B wins none.
Which is cheaper?
Llama 3.2 Instruct 1B costs $0.03 per million input tokens and $0.20 per million output tokens; Qwen3 4B 2507 Instruct costs $0.01 and $0.03. That makes Qwen3 4B 2507 Instruct about 82% cheaper for the same work.
How do you compare the two?
We use the 23 benchmark tests both models have published scores on. The verdict counts the 10 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 13 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.