Gemini 3 Pro vs GPT-5.6 Luna
Wins 2 of 7 areas
Facts · Images and charts
Wins 4 of 7 areas
Coding · Agents · Reasoning · Math
GPT-5.6 Luna wins more areas, narrowly.Gemini 3 Pro is better at images and charts.
Scores updated · 36 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 own03GPT-5.6 Luna3 of 3 tests
- CodingWriting and fixing software13GPT-5.6 Luna3 of 4 tests
- MathCompetition and research-level math02GPT-5.6 Luna2 of 2 tests
- ReasoningHard problems that need careful thinking12GPT-5.6 Luna2 of 5 tests · 2 ties
- Images and chartsUnderstanding pictures, charts and video41Gemini 3 Pro4 of 5 tests
- FactsGetting facts right instead of making them up30Gemini 3 Pro3 of 3 tests
- Long documentsFinding answers in very long texts11Even1 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.
GPT-5.6 Luna costs 90% 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
- Abstract visual puzzles that people can solveARC-AGI-2+28.5points ahead
- Finds hard-to-locate facts by browsing the webBrowseComp+24.1points ahead
- Long, multi-file coding tasks in real codebasesSWE-bench Pro+19.4points ahead
Where Gemini 3 Pro pulls ahead
- Short factual questions, answered correctlySimpleQA Verified+31.9points ahead
- Common-sense trick questionsSimpleBench+29.6points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+13.1points ahead
Every test, side by side
All 36 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingGPT-5.6 Luna
- SWE-bench ProGPT-5.6 Luna by 19.443.362.7+19.4
- SWE-bench VerifiedGPT-5.6 Luna by 16.876.293+16.8
- LMArena · WebDevGPT-5.6 Luna by 79 rating points14401519+79 rating
- SciCodeGemini 3 Pro by 2.556.153.6+2.5
AgentsGPT-5.6 Luna
- BrowseCompGPT-5.6 Luna by 24.159.283.3+24.1
- AA ApexAgentsGPT-5.6 Luna by 17.418.435.8+17.4
- GDPValGPT-5.6 Luna by 13.834.248+13.8
ReasoningGPT-5.6 Luna
- SimpleBenchGemini 3 Pro by 29.676.446.8+29.6
- ARC-AGI-2GPT-5.6 Luna by 28.531.159.6+28.5
- CritPtGPT-5.6 Luna by 11.59.120.6+11.5
- GPQA Diamondtie90.891.1tie
- Humanity's Last Examtie39.739.5tie
FactsGemini 3 Pro
- SimpleQA VerifiedGemini 3 Pro by 31.972.941+31.9
- AA-Omniscience · AccuracyGemini 3 Pro by 13.155.842.7+13.1
- AA-Omniscience · Non-hallucinationGemini 3 Pro by 1.18.57.4+1.1
Images and chartsGemini 3 Pro
- MathVistaGemini 3 Pro by 12.989.876.9+12.9
- Video-MMEGemini 3 Pro by 6.888.481.6+6.8
- LMArena · VisionGemini 3 Pro by 48 rating points13051257+48 rating
- MMMU-ProGemini 3 Pro by 1.680.278.6+1.6
- CharXiv (RQ)GPT-5.6 Luna by 1.381.482.7+1.3
MathGPT-5.6 Luna
- HMMT Feb. 2026GPT-5.6 Luna by 12.186.498.5+12.1
- AIME 2026GPT-5.6 Luna by 5.991.797.6+5.9
Long documentsEven
- AA-LCRGPT-5.6 Luna by 7.77683.7+7.7
- MRCR v2 8 needle 128k (average)Gemini 3 Pro by 2.27774.8+2.2
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.
- AA-OmniscienceGemini 3 Pro by 25.615.3-10.3+25.6
- Artificial Analysis Coding IndexGPT-5.6 Luna by 24.946.571.4+24.9
- BrowseComp (context management)GPT-5.6 Luna by 24.859.284+24.8
- ToolathlonGPT-5.6 Luna by 1736.453.4+17
- SimpleVQAGemini 3 Pro by 16.569.753.2+16.5
- ARC-AGI-1GPT-5.6 Luna by 15.77590.7+15.7
- LVBenchGemini 3 Pro by 14.673.558.9+14.6
- AA Agentic IndexGemini 3 Pro by 9.35242.7+9.3
- AA IntelligenceGPT-5.6 Luna by 9.32837.3+9.3
- VideoMMMUGemini 3 Pro by 6.587.681.1+6.5
- HealthBench HardGPT-5.6 Luna by 3.428.632+3.4
- HLE (with tools)GPT-5.6 Luna by 3.145.848.9+3.1
Questions people ask
Which is better, Gemini 3 Pro or GPT-5.6 Luna?
GPT-5.6 Luna wins four of the seven areas where both have results: coding, agents, reasoning and math. Gemini 3 Pro wins facts and images and charts. They are level on long documents.
Which is better for coding?
GPT-5.6 Luna. It wins 3 of the 4 coding tests both models report; Gemini 3 Pro wins 1.
Which is cheaper?
Gemini 3 Pro costs $2.00 per million input tokens and $12.00 per million output tokens; GPT-5.6 Luna costs $0.20 and $1.20. That makes GPT-5.6 Luna about 90% cheaper for the same work.
How do you compare the two?
We use the 36 benchmark tests both models have published scores on. The verdict counts the 24 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.