Compare · ModelsLive · 2 picked · head to head
GPT-6 Luna vs Qwen3.8 27B
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-6 Luna wins on 11/13 benchmarks
GPT-6 Luna wins 11 of 13 shared benchmarks. Leads in speed · general.
Category leads
speed·GPT-6 Lunaagentic·Qwen3.8 27Breasoning·Qwen3.8 27Bgeneral·GPT-6 Luna
Hype vs Reality
Attention vs performance
GPT-6 Luna
#136 by perf·#2 by attention
Qwen3.8 27B
#110 by perf·#1 by attention
Best value
GPT-6 Luna
3.2x better value than Qwen3.8 27B
GPT-6 Luna
166.0 pts/$
$0.30/M
Qwen3.8 27B
51.8 pts/$
$1.01/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
13 benchmarks · 2 models
GPT-6 LunaQwen3.8 27B
Artificial Analysis · CritPt
GPT-6 Luna leads by +14.0
GPT-6 Luna
19.4
Qwen3.8 27B
5.4
Artificial Analysis · GDPval
GPT-6 Luna leads by +0.6
GPT-6 Luna
46.6
Qwen3.8 27B
46.0
Artificial Analysis · Humanity's Last Exam
GPT-6 Luna leads by +4.6
GPT-6 Luna
38.5
Qwen3.8 27B
33.9
Artificial Analysis · Long Context Reasoning
GPT-6 Luna leads by +1.3
GPT-6 Luna
83.3
Qwen3.8 27B
82.0
Artificial Analysis · MMMU Pro
GPT-6 Luna leads by +3.4
GPT-6 Luna
79.7
Qwen3.8 27B
76.3
Artificial Analysis · Quality Index
GPT-6 Luna leads by +4.4
GPT-6 Luna
38.1
Qwen3.8 27B
33.7
Artificial Analysis · SciCode
GPT-6 Luna leads by +8.0
GPT-6 Luna
54.6
Qwen3.8 27B
46.6
APEX-Agents
Qwen3.8 27B leads by +3.2
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
GPT-6 Luna
44.3
Qwen3.8 27B
47.5
ARC-AGI
Qwen3.8 27B leads by +0.8
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
GPT-6 Luna
86.7
Qwen3.8 27B
87.5
ARC-AGI-2
GPT-6 Luna leads by +17.0
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
GPT-6 Luna
59.3
Qwen3.8 27B
42.4
Dtbench
GPT-6 Luna leads by +3.5
GPT-6 Luna
83.5
Qwen3.8 27B
80.0
Lmca
GPT-6 Luna leads by +3.7
GPT-6 Luna
52.3
Qwen3.8 27B
48.7
Proofbench
GPT-6 Luna leads by +48.0
GPT-6 Luna
64.0
Qwen3.8 27B
16.0
Full benchmark table
| Benchmark | GPT-6 Luna | Qwen3.8 27B |
|---|---|---|
Artificial Analysis · CritPt | 19.4 | 5.4 |
Artificial Analysis · GDPval | 46.6 | 46.0 |
Artificial Analysis · Humanity's Last Exam | 38.5 | 33.9 |
Artificial Analysis · Long Context Reasoning | 83.3 | 82.0 |
Artificial Analysis · MMMU Pro | 79.7 | 76.3 |
Artificial Analysis · Quality Index | 38.1 | 33.7 |
Artificial Analysis · SciCode | 54.6 | 46.6 |
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 44.3 | 47.5 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 86.7 | 87.5 |
ARC-AGI-2 ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data. | 59.3 | 42.4 |
Dtbench | 83.5 | 80.0 |
Lmca | 52.3 | 48.7 |
Proofbench | 64.0 | 16.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.10 | $0.50 | 1.1M tokens (~525 books) | $2.00 | |
| $0.15 | $1.88 | 1.0M tokens (~524 books) | $5.81 |