GPT-4.1 vs Qwen3 235B A22B Instruct 2507
Wins 1 of 6 areas
Long documents
Wins 3 of 6 areas
Coding · Reasoning · Following instructions
Qwen3 235B A22B Instruct 2507 wins more areas, narrowly.GPT-4.1 is better at long documents.
Scores updated · 29 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.
- ReasoningHard problems that need careful thinking02Qwen3 235B A22B Instruct 25072 of 3 tests · 1 tie
- CodingWriting and fixing software12Qwen3 235B A22B Instruct 25072 of 3 tests
- Following instructionsDoing exactly what it is asked01Qwen3 235B A22B Instruct 25071 of 1 test
- Long documentsFinding answers in very long texts10GPT-4.11 of 1 test
- AgentsCarrying out multi-step tasks on its own00Even0 each · 1 tie
- FactsGetting facts right instead of making them up11Even1 each
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 235B A22B Instruct 2507 costs 89% less for the same work.
The biggest differences
The three tests each model wins by the widest margin. Scores are out of 100.
Where Qwen3 235B A22B Instruct 2507 pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+16.1points ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+8.7points ahead
- Recent programming contest problemsLiveCodeBench v6+7.1points ahead
Where GPT-4.1 pulls ahead
- Reasons across sets of long documentsAA-LCR+34.4points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+9.1points ahead
- Code for real scientific research problemsSciCode+2.1points ahead
Every test, side by side
All 29 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingQwen3 235B A22B Instruct 2507
- LiveCodeBench v6Qwen3 235B A22B Instruct 2507 by 7.144.751.8+7.1
- SciCodeGPT-4.1 by 2.138.136+2.1
- Terminal-Bench HardQwen3 235B A22B Instruct 2507 by 1.613.615.2+1.6
ReasoningQwen3 235B A22B Instruct 2507
- GPQA DiamondQwen3 235B A22B Instruct 2507 by 8.766.675.3+8.7
- Humanity's Last ExamQwen3 235B A22B Instruct 2507 by 6.94.211.1+6.9
- CritPttie00tie
FactsEven
- AA-Omniscience · Non-hallucinationQwen3 235B A22B Instruct 2507 by 16.16.722.8+16.1
- AA-Omniscience · AccuracyGPT-4.1 by 9.127.818.7+9.1
Following instructionsQwen3 235B A22B Instruct 2507
- IFBenchQwen3 235B A22B Instruct 2507 by 3.14346.1+3.1
Other results18 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.
- HMMT 2025Qwen3 235B A22B Instruct 2507 by 26.528.955.4+26.5
- AIME 2025Qwen3 235B A22B Instruct 2507 by 23.946.470.3+23.9
- AIR-Bench 2024Qwen3 235B A22B Instruct 2507 by 14.264.879+14.2
- τ²-Bench Telecom (AA run)GPT-4.1 by 13.847.133.3+13.8
- HarmBenchGPT-4.1 by 12.191.779.6+12.1
- MMLU-ProXQwen3 235B A22B Instruct 2507 by 6.772.779.4+6.7
- Aider-PolyglotQwen3 235B A22B Instruct 2507 by 5.751.657.3+5.7
- ARC-AGI-1Qwen3 235B A22B Instruct 2507 by 5.55.511+5.5
- AA Agentic IndexGPT-4.1 by 4.527.322.8+4.5
- AA-OmniscienceGPT-4.1 by 4.4-39.6-44+4.4
- bbqQwen3 235B A22B Instruct 2507 by 3.692.696.2+3.6
- IFEvalQwen3 235B A22B Instruct 2507 by 1.387.488.7+1.3
- MultiPL-EQwen3 235B A22B Instruct 2507 by 1.286.787.9+1.2
- AA Intelligencetie12.712tie
- XSTesttie97.998.6tie
- anthropic_red_teamtie99.399.9tie
- Artificial Analysis Coding Indextie21.822.1tie
- simple_safety_teststie100100tie
Questions people ask
Which is better, GPT-4.1 or Qwen3 235B A22B Instruct 2507?
Qwen3 235B A22B Instruct 2507 wins three of the six areas where both have results: coding, reasoning and following instructions. GPT-4.1 wins long documents. They are level on agents and facts.
Which is better for coding?
Qwen3 235B A22B Instruct 2507. It wins 2 of the 3 coding tests both models report; GPT-4.1 wins 1.
Which is cheaper?
GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens; Qwen3 235B A22B Instruct 2507 costs $0.23 and $0.92. That makes Qwen3 235B A22B Instruct 2507 about 89% cheaper for the same work.
How do you compare the two?
We use the 29 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 18 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.