GPT-5.6 Luna vs Qwen3.5 27B
Wins 6 of 7 areas
Coding · Agents · Reasoning · Images and charts · Math · Long documents
Wins 0 of 7 areas
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GPT-5.6 Luna is the stronger all-rounder.
Scores updated · 34 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.
- CodingWriting and fixing software40GPT-5.6 Luna4 of 4 tests
- AgentsCarrying out multi-step tasks on its own40GPT-5.6 Luna4 of 4 tests
- ReasoningHard problems that need careful thinking30GPT-5.6 Luna3 of 3 tests
- MathCompetition and research-level math20GPT-5.6 Luna2 of 2 tests
- Images and chartsUnderstanding pictures, charts and video32GPT-5.6 Luna3 of 5 tests
- Long documentsFinding answers in very long texts10GPT-5.6 Luna1 of 1 test
- FactsGetting facts right instead of making them up11Even1 each
Long documents rests on a single test.
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.
GPT-5.6 Luna costs 48% 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-5.6 Luna pulls ahead
- Finds hard-to-locate facts by browsing the webBrowseComp+22.3points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+22points ahead
- Fixes real GitHub issues in Python projectsSWE-bench Verified+20.6points ahead
Where Qwen3.5 27B pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+11.1points ahead
- Math problems shown in pictures and chartsMathVista+10.9points ahead
- Questions that truly need the image to answerMMStar+8.8points ahead
Every test, side by side
All 34 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingGPT-5.6 Luna
- SWE-bench VerifiedGPT-5.6 Luna by 20.69372.4+20.6
- LMArena · WebDevGPT-5.6 Luna by 162 rating points15191357+162 rating
- SciCodeGPT-5.6 Luna by 14.153.639.5+14.1
- SWE-bench ProGPT-5.6 Luna by 11.562.751.2+11.5
AgentsGPT-5.6 Luna
- BrowseCompGPT-5.6 Luna by 22.383.361+22.3
- OSWorld-VerifiedGPT-5.6 Luna by 16.472.656.2+16.4
- GDPValGPT-5.6 Luna by 154833+15
- AA IT-Bench SREGPT-5.6 Luna by 4.840.335.5+4.8
ReasoningGPT-5.6 Luna
- CritPtGPT-5.6 Luna by 19.720.60.9+19.7
- Humanity's Last ExamGPT-5.6 Luna by 15.639.523.9+15.6
- GPQA DiamondGPT-5.6 Luna by 5.391.185.8+5.3
FactsEven
- AA-Omniscience · AccuracyGPT-5.6 Luna by 2242.720.7+22
- AA-Omniscience · Non-hallucinationQwen3.5 27B by 11.17.418.5+11.1
Images and chartsGPT-5.6 Luna
- MathVistaQwen3.5 27B by 10.976.987.8+10.9
- MMStarQwen3.5 27B by 8.872.281+8.8
- MMMU-ProGPT-5.6 Luna by 3.678.675+3.6
- CharXiv (RQ)GPT-5.6 Luna by 3.282.779.5+3.2
- LMArena · VisionGPT-5.6 Luna by 16 rating points12571241+16 rating
MathGPT-5.6 Luna
- HMMT Feb. 2026GPT-5.6 Luna by 17.498.581.1+17.4
- AIME 2026GPT-5.6 Luna by 5.997.691.7+5.9
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.
- Artificial Analysis Coding IndexGPT-5.6 Luna by 36.571.434.9+36.5
- AA-OmniscienceGPT-5.6 Luna by 33.7-10.3-44+33.7
- RefSpatial-BenchQwen3.5 27B by 15.252.567.7+15.2
- LVBenchQwen3.5 27B by 14.758.973.6+14.7
- AA IntelligenceGPT-5.6 Luna by 14.437.322.9+14.4
- AA Agentic IndexQwen3.5 27B by 11.942.754.6+11.9
- RealWorldQAQwen3.5 27B by 11.372.483.7+11.3
- HallusionBenchQwen3.5 27B by 115970+11
- EmbSpatial-BenchQwen3.5 27B by 975.584.5+9
- MV-BenchQwen3.5 27B by 6.468.274.6+6.4
- ERQAQwen3.5 27B by 456.560.5+4
- SimpleVQAQwen3.5 27B by 2.853.256+2.8
- VideoMMMUQwen3.5 27B by 1.281.182.3+1.2
Questions people ask
Which is better, GPT-5.6 Luna or Qwen3.5 27B?
GPT-5.6 Luna wins six of the seven areas where both have results: coding, agents, reasoning, images and charts, math and long documents. Qwen3.5 27B wins none. They are level on facts.
Which is better for coding?
GPT-5.6 Luna. It wins 4 of the 4 coding tests both models report; Qwen3.5 27B wins none.
Which is cheaper?
GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output tokens; Qwen3.5 27B costs $0.30 and $2.40. That makes GPT-5.6 Luna about 48% cheaper for the same work.
How do you compare the two?
We use the 34 benchmark tests both models have published scores on. The verdict counts the 21 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.