GPT-4o wins more areas, narrowly.Qwen3 32B is cheaper and better at reasoning.
Scores updated · 25 tests both models report · How we compare
Where each one wins
Tests won in each of the six 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.
- FactsGetting facts right instead of making them up21GPT-4o2 of 3 tests
- Long documentsFinding answers in very long texts10GPT-4o1 of 1 test
- ReasoningHard problems that need careful thinking02Qwen3 32B2 of 3 tests · 1 tie
- CodingWriting and fixing software11Even1 each
- AgentsCarrying out multi-step tasks on its own00Even0 each · 1 tie
- Following instructionsDoing exactly what it is asked00Even0 each · 1 tie
Agents, 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 32B costs 96% less for the same work.
The biggest differences
The three tests each model wins by the widest margin. Scores are out of 100.
Where GPT-4o pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+44.2points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+6.3points ahead
- Hard command-line tasks in a real terminalTerminal-Bench Hard+5.3points ahead
Where Qwen3 32B pulls ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+14.2points ahead
- Very hard expert questions across many subjectsHumanity's Last Exam+5.6points ahead
- Code for real scientific research problemsSciCode+2.7points ahead
Every test, side by side
All 25 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingEven
- Terminal-Bench HardGPT-4o by 5.38.33+5.3
- SciCodeQwen3 32B by 2.733.336+2.7
ReasoningQwen3 32B
- GPQA DiamondQwen3 32B by 14.252.666.8+14.2
- Humanity's Last ExamQwen3 32B by 5.61.87.4+5.6
- CritPttie00.3tie
FactsGPT-4o
- AA-Omniscience · Non-hallucinationGPT-4o by 44.262.117.9+44.2
- AA-Omniscience · AccuracyGPT-4o by 6.323.717.4+6.3
- Vectara HHEM hallucination ratelower is betterQwen3 32B by 3.79.65.9+3.7
Other results14 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.
- AIME 2024Qwen3 32B by 72.19.381.4+72.1
- AIME 2025Qwen3 32B by 61.211.772.9+61.2
- AA-OmniscienceGPT-4o by 39.9-10.5-50.4+39.9
- LiveCodeBenchQwen3 32B by 27.438.365.7+27.4
- Arena HardQwen3 32B by 14.579.393.8+14.5
- Aider-PolyglotQwen3 32B by 9.330.740+9.3
- Artificial Analysis Coding IndexGPT-4o by 8.924.215.3+8.9
- MMLU-ProQwen3 32B by 7.174.781.8+7.1
- vectara_answer_rateQwen3 32B by 6.193.899.9+6.1
- vectara_factual_consistencyQwen3 32B by 3.790.494.1+3.7
- vectara_avg_summary_lengthQwen3 32B by 29.2 rating points86.6115.8+29.2 rating
- AA IntelligenceQwen3 32B by 1.37.38.6+1.3
- MMLU-ProXGPT-4o by 1.261.159.9+1.2
- τ²-Bench Telecom (AA run)tie28.929.8tie
Questions people ask
Which is better, GPT-4o or Qwen3 32B?
GPT-4o wins two of the six areas where both have results: facts and long documents. Qwen3 32B wins reasoning, and costs 96% less. They are level on coding, agents and following instructions.
Which is better for coding?
Neither. They win 1 coding test each of the 2 both models report.
Which is cheaper?
GPT-4o costs $5.00 per million input tokens and $15.00 per million output tokens; Qwen3 32B costs $0.16 and $0.64. That makes Qwen3 32B about 96% cheaper for the same work.
How do you compare the two?
We use the 25 benchmark tests both models have published scores on. The verdict counts the 11 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 14 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.