GPT-5.6 Luna vs Qwen3.5 397B A17B
Wins 7 of 7 areas
Coding · Agents · Reasoning · Facts · Images and charts · Math · Long documents
Wins 0 of 7 areas
—
GPT-5.6 Luna is the stronger all-rounder.
Scores updated · 35 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.
- AgentsCarrying out multi-step tasks on its own60GPT-5.6 Luna6 of 6 tests
- CodingWriting and fixing software50GPT-5.6 Luna5 of 5 tests
- ReasoningHard problems that need careful thinking30GPT-5.6 Luna3 of 3 tests
- MathCompetition and research-level math30GPT-5.6 Luna3 of 3 tests
- FactsGetting facts right instead of making them up21GPT-5.6 Luna2 of 3 tests
- Images and chartsUnderstanding pictures, charts and video10GPT-5.6 Luna1 of 2 tests · 1 tie
- Long documentsFinding answers in very long texts10GPT-5.6 Luna1 of 1 test
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 67% 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 GPT-5.6 Luna pulls ahead
- Unpublished advanced math problemsFrontierMath Tiers 1-3 (v2)+50.9points ahead
- Real work tasks from 44 professionsGDPVal+33.4points ahead
- Command-line tasks in a real terminalTerminal-Bench 2.1+29.6points ahead
Where Qwen3.5 397B A17B pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+3.7points ahead
Every test, side by side
All 35 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingGPT-5.6 Luna
- Terminal-Bench 2.1GPT-5.6 Luna by 29.680.951.3+29.6
- SWE-bench VerifiedGPT-5.6 Luna by 16.69376.4+16.6
- LMArena · WebDevGPT-5.6 Luna by 119 rating points15191400+119 rating
- SWE-bench ProGPT-5.6 Luna by 11.862.750.9+11.8
- SciCodeGPT-5.6 Luna by 8.853.644.8+8.8
AgentsGPT-5.6 Luna
- GDPValGPT-5.6 Luna by 33.44814.6+33.4
- AA ApexAgentsGPT-5.6 Luna by 20.535.815.3+20.5
- τ-Bench V3 · BankingGPT-5.6 Luna by 17.731.113.4+17.7
- BrowseCompGPT-5.6 Luna by 14.383.369+14.3
- Terminal-Bench 4.0GPT-5.6 Luna by 11.611.60+11.6
- AA IT-Bench SREGPT-5.6 Luna by 6.240.334.1+6.2
ReasoningGPT-5.6 Luna
- CritPtGPT-5.6 Luna by 18.920.61.7+18.9
- Humanity's Last ExamGPT-5.6 Luna by 10.539.529+10.5
- GPQA DiamondGPT-5.6 Luna by 1.891.189.3+1.8
FactsGPT-5.6 Luna
- SimpleQA VerifiedGPT-5.6 Luna by 154126+15
- AA-Omniscience · AccuracyGPT-5.6 Luna by 11.942.730.8+11.9
- AA-Omniscience · Non-hallucinationQwen3.5 397B A17B by 3.77.411.1+3.7
Images and chartsGPT-5.6 Luna
- MMMU-ProGPT-5.6 Luna by 1.378.677.3+1.3
- LMArena · Visiontie12561262tie
MathGPT-5.6 Luna
- FrontierMath Tiers 1-3 (v2)GPT-5.6 Luna by 50.982.131.2+50.9
- HMMT Feb. 2026GPT-5.6 Luna by 10.698.587.9+10.6
- AIME 2026GPT-5.6 Luna by 6.397.691.3+6.3
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.
- GDPval-AA v2GPT-5.6 Luna by 568 rating points1530962+568 rating
- AA Agentic IndexGPT-5.6 Luna by 32.142.710.6+32.1
- Toolathlon VerifiedGPT-5.6 Luna by 27.267.940.7+27.2
- Artificial Analysis Coding IndexGPT-5.6 Luna by 23.271.448.2+23.2
- AA-OmniscienceGPT-5.6 Luna by 20.4-10.3-30.8+20.4
- AA IntelligenceGPT-5.6 Luna by 18.937.318.4+18.9
- ToolathlonGPT-5.6 Luna by 15.153.438.3+15.1
- SWEBench Pro PublicGPT-5.6 Luna by 11.862.750.9+11.8
- τ³-Bench BankingGPT-5.6 Luna by 10.924.313.4+10.9
- GDP (Surge AI)GPT-5.6 Luna by 10.522.712.2+10.5
- BrowseComp (context management)GPT-5.6 Luna by 5.48478.6+5.4
- HLE (with tools)tie48.948.3tie
Questions people ask
Which is better, GPT-5.6 Luna or Qwen3.5 397B A17B?
GPT-5.6 Luna wins all seven areas where both have results: coding, agents, reasoning, facts, images and charts, math and long documents. Qwen3.5 397B A17B wins none.
Which is better for coding?
GPT-5.6 Luna. It wins 5 of the 5 coding tests both models report; Qwen3.5 397B A17B 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 397B A17B costs $0.60 and $3.60. That makes GPT-5.6 Luna about 67% cheaper for the same work.
How do you compare the two?
We use the 35 benchmark tests both models have published scores on. The verdict counts the 23 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.