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Head-to-head · Updated Nov 3, 2026

Gemini 4 Carbon vs GPT-6 Astra

Google’s Gemini 4 Carbon and OpenAI’s GPT-6 Astra on independent tests for professional work, cost and speed.

Short answer

Gemini 4 Carbon leads on 9 of 10 quality scores, including the overall Intelligence Index.

  • FinanceGemini 4 Carbon62.6 vs 57.4
  • Legal workGemini 4 Carbon62.0 vs 55.6
  • EngineeringGemini 4 Carbon64.7 vs 61.8
  • Strategy & operationsGemini 4 Carbon60.9 vs 58.0
  • Coding agentsGemini 4 Carbon65.2% vs 59.1%
  • Fewer made-up answersGemini 4 Carbon11.4% vs 49.8%
  • Lower costGPT-6 Astra$5,661 vs $8,240
  • SpeedGemini 4 Carbon94 tok/s vs 73 tok/s

Scores, cost and speed

Gemini 4 Carbon vs GPT-6 Astra: scores, cost and speed reported by Artificial Analysis
MeasureGemini 4 Carbon (High)Limited early accessGPT-6 Astra (Max)
Overall
Intelligence IndexCombined score across nine evaluationsLeads: 59.456.9
Professional work
Finance & accountingLeads: 62.657.4
LegalLeads: 62.055.6
Healthcare & medical—53.7
EngineeringLeads: 64.761.8
Strategy & operationsLeads: 60.958.0
EconomicsLeads: 61.058.3
Specific tests
Terminal-Bench 4.0Agentic coding tasksLeads: 65.2%59.1%
FrontierCode 2.0Hard programming problems40.6%Leads: 42.4%
Humanity’s Last ExamExpert-level questions—54.7%
HealthBenchHealth conversations graded by physicians’ rubrics—58.2%
GDPval-AAKnowledge-work deliverables, EloLeads: 17331584
Hallucination rateAA-Omniscience; lower is betterLeads: 11.4%49.8%
Cost & speed
Input priceUS$ per 1M tokensLeads: $4$10
Output priceUS$ per 1M tokensLeads: $20$50
Cost to run the indexUS$, includes reasoning tokens$8,240Leads: $5,661
Output speedMedian tokens per secondLeads: 94 tok/s73 tok/s
Context windowTokens1M1M

Scores, prices and speeds: Artificial Analysis, independently measured, checked Nov 3, 2026. Model names include the tested reasoning setting. Stubbi has not rerun these evaluations. Consumer apps such as ChatGPT, Claude and Gemini may use other models and add features like search and memory.

Test them on your own work

Public scores can’t show how each model handles your documents, clients or standards. Tell us the task, and we’ll consider a side-by-side comparison with the outputs you can judge.