BenchLeader

Claude Fable 5 vs GPT-6 Luna

Verdict
  • Claude Fable 5 (thinking) leads on quality: 70.0 vs 61.2.
  • Claude Fable 5 (thinking) is stronger in agents & tools, composite, instruction following, knowledge, reasoning.
  • GPT-6 Luna (max) is stronger in long context, multimodal.
  • GPT-6 Luna (max) is 100× cheaper ($0.200 vs $20.00 per 1M blended).
  • GPT-6 Luna (max) streams 2.4× faster (157 vs 67 tokens per second).
MetricClaude Fable 5 (thinking)GPT-6 Luna (max)
BenchLeader Index70.061.2
Agents & tools score74.1
Composite score88.873.9
Instruction following score63.0
Knowledge score82.963.2
Long context score67.067.5
Reasoning score89.076.1
Multimodal score59.2
Blended price $/M$20.00$0.200
Output speed67 tok/s157 tok/s
Time to first answer108.0 s142.6 s
Context window1M1.1M
AA Intelligence Index49.637.3
IFBench63.5%
AA-LCR82.3%83.3%
MMMU-Pro75.5%
AA-Omniscience43.30.7
Terminal-Bench Hard62.9%
GPQA Diamond (AA)92.6%
Humanity's Last Exam (AA)55.5%38.5%
SciCode (AA)61.0%54.6%
τ²-Bench Telecom (AA)98.5%
Kagi LLM Benchmark91.4%
CritPt28.6%19.4%
GDPval (AA)54.8%43.4%
τ²-Bench Banking (AA)38.1%
Analyst Agent (AA)48.8%
Terminal-Bench 4.0 (AA)42.4%12.6%
Terminal-Bench 2.1 (AA)84.6%
AutomationBench54.1%53.2%
GDP.pdf24.0%20.4%
MLCR64.4%16.1%
Harvey LAB93.6%
EnterpriseOps-Gym51.1%
AA-Omniscience: accuracy65.3%43.8%
AA-Omniscience: non-hallucination36.4%23.3%
AA-Briefcase15431299

Data as of 2026-09-23. Best configuration of each model; every score links to its source on the model pages.

Claude Fable 5 vs GPT-6 Luna: questions

Is Claude Fable 5 better than GPT-6 Luna?
Claude Fable 5 (thinking) leads on quality: 70.0 vs 61.2. The BenchLeader Index combines every independent quality benchmark; Claude Fable 5 (thinking) is ahead overall as of 2026-09-23, but check the category scores for your use.
Which is cheaper, Claude Fable 5 or GPT-6 Luna?
GPT-6 Luna is cheaper: $0.200 against $20.00 per million tokens, blended at three input tokens per output token.
Which is faster, Claude Fable 5 or GPT-6 Luna?
GPT-6 Luna streams faster: 157 against 67 output tokens per second.
Which has the larger context window?
GPT-6 Luna accepts more context: 1.1M against 1M tokens.