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GPT-5.6 Luna vs GPT-6 Sol

45 SHARED BENCHMARKS

Across 45 shared benchmarks, GPT-5.6 Luna scores higher on 4 and GPT-6 Sol on 39, with 2 level. The widest gap is AA-Omniscience · Non-hallucination, where GPT-6 Sol scores 39.9 against 7.4. GPT-5.6 Luna is the cheaper of the two on tracked API pricing ($0.20 against $2.00 per million input tokens).

OPENAIVSOPENAI45 SHARED4–39 HEAD-TO-HEADNEWEST SCORE ADDED

At a glance

MakerOpenAIOpenAI
Released
Price per 1M tokens input / output$0.20 / $1.20$2.00 / $10.00
Cost of 1M in + 1M out$1.40 8.6× less$12.00
Head-to-head of 45 shared benchmarks4 wins39 wins
Scores tracked independently verified201 43 ◆126 37 ◆

Release dates per Artificial Analysis. Prices: Artificial Analysis for GPT-5.6 Luna; Artificial Analysis for GPT-6 Sol. ◆ = independently verified score.

Where each leadsby capability area · benchmark wins

AreaGPT-5.6 LunaWINSGPT-6 Sol
Reasoning06GPT-6 Sol leads 6 of 6 · widest: SimpleBench 46.8 vs 73.1
Coding13GPT-6 Sol leads 3 of 4 · widest: LMArena · WebDev 1520 vs 1681
Agentic03GPT-6 Sol leads 3 of 3 · widest: Terminal-Bench 4.0 11.6 vs 43.9
Factuality02GPT-6 Sol leads 2 of 2 · widest: AA-Omniscience · Non-hallucination 7.4 vs 39.9
Instruction Following01GPT-6 Sol leads 1 of 1 · widest: LiveBench · Instruction Following 60.1 vs 68.6
Long Context00Even, 0–0 of 1
Math01GPT-6 Sol leads 1 of 1 · widest: LiveBench · Mathematics 87.2 vs 96.4
Multimodal01GPT-6 Sol leads 1 of 1 · widest: MMMU-Pro 78.6 vs 83.3

Biggest gaps

GPT-5.6 Luna pulls furthest ahead on

No ratified-area lead of 3 points or more.

GPT-6 Sol pulls furthest ahead on

  1. AA-Omniscience · Non-hallucination39.9 vs 7.4
  2. Terminal-Bench 4.043.9 vs 11.6
  3. SimpleBench73.1 vs 46.8

Every shared benchmark45 · grouped by area

Reasoning 6

BenchmarkGPT-5.6 LunaMARGINGPT-6 Sol
ARC-AGI-30.2◆ 4.6
ARC-AGI-259.6 ◆◆ 89.6
CritPt20.630.9
LiveBench · Reasoning85.6 ◆◆ 88.7
SimpleBench46.8 ◆◆ 73.1

Coding 4

BenchmarkGPT-5.6 LunaMARGINGPT-6 Sol
LMArena · WebDev1520 ◆◆ 1681
LiveBench · Coding82.9 ◆◆ 81.8
SciCode53.657.6

Agentic 3

BenchmarkGPT-5.6 LunaMARGINGPT-6 Sol
GDPVal47.249.3
Terminal-Bench 4.011.643.9

Instruction Following 1

Long Context 1

BenchmarkGPT-5.6 LunaMARGINGPT-6 Sol
AA-LCR83.783.7

Math 1

BenchmarkGPT-5.6 LunaMARGINGPT-6 Sol
LiveBench · Mathematics87.2 ◆◆ 96.4

Multimodal 1

BenchmarkGPT-5.6 LunaMARGINGPT-6 Sol
MMMU-Pro78.683.3

Other shared benchmarks 26

BenchmarkGPT-5.6 LunaMARGINGPT-6 Sol
ARC-AGI-190.7 ◆◆ 95.5
Dynamic Benchmarks - Emotional reliance11
Dynamic Benchmarks - Mental health11
Dynamic Benchmarks - Self-harm0.91
Image input evaluations - extremism11
Image input evaluations - harms-erotic11
Image input evaluations - hate11
Image input evaluations - self-harm11
livebench_language72.6 ◆◆ 85.3
OSWorld 2.045.664.4
Production Benchmarks - Gore0.60.9
U18 evaluations - Age-restricted goods, services, and dangerous challenges / activities0.80.9
U18 evaluations - Eating Disorders0.70.9
U18 evaluations - Emotional Reliance0.90.9
U18 evaluations - Gore0.80.9
U18 evaluations - Self Harm11
U18 evaluations - Sexual Content0.91

Each score is the one the model's own page shows — the most authoritative tracked result for that benchmark, on the benchmark's standard methodology (source-attributed). ↓ marks lower-is-better metrics; ◆ an independently verified score. Open either model for its full surface, provenance and pricing. Quoted rates are the price-setter row we currently track for each model — its direct or vendor-official listing where one exists (direct, direct), otherwise the lowest tracked offer.

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