GPT-4o vs Qwen3.6 27B
Wins 1 of 7 areas
Facts
Wins 6 of 7 areas
Coding · Agents · Reasoning · Images and charts · Long documents · Following instructions
Qwen3.6 27B is the stronger all-rounder.GPT-4o is better at facts.
Scores updated · 30 tests both models report · How we compare
Where each one wins
Tests won in each of the seven 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.
- Images and chartsUnderstanding pictures, charts and video06Qwen3.6 27B6 of 6 tests
- CodingWriting and fixing software04Qwen3.6 27B4 of 4 tests
- ReasoningHard problems that need careful thinking03Qwen3.6 27B3 of 3 tests
- AgentsCarrying out multi-step tasks on its own01Qwen3.6 27B1 of 1 test
- Long documentsFinding answers in very long texts01Qwen3.6 27B1 of 1 test
- Following instructionsDoing exactly what it is asked01Qwen3.6 27B1 of 1 test
- FactsGetting facts right instead of making them up20GPT-4o2 of 2 tests
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.
Qwen3.6 27B costs 79% 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 Qwen3.6 27B pulls ahead
- Recent programming contest problemsLiveCodeBench v6+53points ahead
- Fixes real GitHub issues in Python projectsSWE-bench Verified+44points ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+31.6points ahead
Where GPT-4o pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+11.4points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+4.1points ahead
Every test, side by side
All 30 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingQwen3.6 27B
- LiveCodeBench v6Qwen3.6 27B by 5330.983.9+53
- SWE-bench VerifiedQwen3.6 27B by 4433.277.2+44
- Terminal-Bench HardQwen3.6 27B by 26.58.334.8+26.5
- SciCodeQwen3.6 27B by 9.533.342.8+9.5
ReasoningQwen3.6 27B
- GPQA DiamondQwen3.6 27B by 31.652.684.2+31.6
- Humanity's Last ExamQwen3.6 27B by 21.31.823.1+21.3
- CritPtQwen3.6 27B by 1.101.1+1.1
FactsGPT-4o
- AA-Omniscience · Non-hallucinationGPT-4o by 11.462.150.7+11.4
- AA-Omniscience · AccuracyGPT-4o by 4.123.719.6+4.1
Images and chartsQwen3.6 27B
Following instructionsQwen3.6 27B
- IFBenchQwen3.6 27B by 31.63667.6+31.6
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.
- τ²-Bench Telecom (AA run)Qwen3.6 27B by 65.328.994.2+65.3
- Artificial Analysis Coding IndexQwen3.6 27B by 29.524.253.7+29.5
- ERQAQwen3.6 27B by 27.335.262.5+27.3
- SuperGPQAQwen3.6 27B by 23.642.466+23.6
- VideoMMMUQwen3.6 27B by 23.261.284.4+23.2
- C-EvalQwen3.6 27B by 15.47691.4+15.4
- AA IntelligenceQwen3.6 27B by 14.17.321.4+14.1
- AA Agentic IndexQwen3.6 27B by 11.78.420.1+11.7
- MMLU-ProQwen3.6 27B by 11.574.786.2+11.5
- AA-OmniscienceGPT-4o by 9.5-10.5-20+9.5
- RealWorldQAQwen3.6 27B by 8.775.484.1+8.7
- MMLU-ReduxQwen3.6 27B by 5.58893.5+5.5
Questions people ask
Which is better, GPT-4o or Qwen3.6 27B?
Qwen3.6 27B wins six of the seven areas where both have results: coding, agents, reasoning, images and charts, long documents and following instructions. GPT-4o wins facts.
Which is better for coding?
Qwen3.6 27B. It wins 4 of the 4 coding tests both models report; GPT-4o wins none.
Which is cheaper?
GPT-4o costs $5.00 per million input tokens and $15.00 per million output tokens; Qwen3.6 27B costs $0.60 and $3.60. That makes Qwen3.6 27B about 79% cheaper for the same work.
How do you compare the two?
We use the 30 benchmark tests both models have published scores on. The verdict counts the 18 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.