BenchLeader

Claude Fable 5 vs GPT-6 Sol

Verdict
  • Claude Fable 5 (thinking) leads on quality: 70.0 vs 67.7.
  • Claude Fable 5 (thinking) is stronger in agents & tools, composite, instruction following, knowledge.
  • GPT-6 Sol (max) is stronger in long context, reasoning, multimodal.
  • GPT-6 Sol (max) is 5.0× cheaper ($4.00 vs $20.00 per 1M blended).
  • GPT-6 Sol (max) streams 1.9× faster (126 vs 67 tokens per second).
MetricClaude Fable 5 (thinking)GPT-6 Sol (max)
BenchLeader Index70.067.7
Agents & tools score74.1
Composite score88.886.2
Instruction following score63.0
Knowledge score82.975.4
Long context score67.067.7
Reasoning score89.095.0
Multimodal score67.1
Blended price $/M$20.00$4.00
Output speed67 tok/s126 tok/s
Time to first answer108.0 s107.2 s
Context window1M1.1M
AA Intelligence Index49.647.5
IFBench63.5%
AA-LCR82.3%83.7%
MMMU-Pro83.3%
AA-Omniscience43.327.1
Terminal-Bench Hard62.9%
GPQA Diamond (AA)92.6%
Humanity's Last Exam (AA)55.5%47.9%
SciCode (AA)61.0%57.6%
τ²-Bench Telecom (AA)98.5%
Kagi LLM Benchmark91.4%
CritPt28.6%30.9%
GDPval (AA)54.8%49.4%
τ²-Bench Banking (AA)38.1%
Analyst Agent (AA)48.8%
Terminal-Bench 4.0 (AA)42.4%43.9%
Terminal-Bench 2.1 (AA)84.6%
AutomationBench54.1%61.6%
GDP.pdf24.0%24.8%
MLCR64.4%16.1%
Harvey LAB93.6%
EnterpriseOps-Gym51.1%
AA-Omniscience: accuracy65.3%54.5%
AA-Omniscience: non-hallucination36.4%39.9%
AA-Briefcase15431483

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 Sol: questions

Is Claude Fable 5 better than GPT-6 Sol?
Claude Fable 5 (thinking) leads on quality: 70.0 vs 67.7. 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 Sol?
GPT-6 Sol is cheaper: $4.00 against $20.00 per million tokens, blended at three input tokens per output token.
Which is faster, Claude Fable 5 or GPT-6 Sol?
GPT-6 Sol streams faster: 126 against 67 output tokens per second.
Which has the larger context window?
GPT-6 Sol accepts more context: 1.1M against 1M tokens.