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    External (via citation)Thursday, September 10, 2026 3 min read
    AI

    Model speed and cost comparisons

    Artificial Analysis Intelligence Index v4.3 benchmarks AI models across 10 evaluations covering agentic workflows, coding, scientific reasoning, and hallucination resistance. The tracker compares models on four key dimensions: intelligen…

    Key takeaways
    • 01Cost per Intelligence Index task varies significantly across models, with pricing segmented by input, cache hit, and output token types.
    • 02Speed and latency metrics are measured separately, as high output throughput does not necessarily correlate with low time-to-first-token.
    • 03The data enables direct price-to-performance comparisons, with a Pareto frontier identifying models offering the best intelligence per dollar spent.
    In brief · from artificialanalysis.ai

    Artificial Analysis Intelligence Index v4.3 benchmarks AI models across 10 evaluations covering agentic workflows, coding, scientific reasoning, and hallucination resistance. The tracker compares models on four key dimensions: intelligence score, cost per task, output speed in tokens per second, and latency to first token. Cost per Intelligence Index task varies significantly across models, with pricing segmented by input, cache hit, and output token types. Speed and latency metrics are measured separately, as high output throughput does not necessarily correlate with low time-to-first-token.

    Read the full article at artificialanalysis.ai

    Artificial Analysis Intelligence Index v4.3 benchmarks AI models across 10 evaluations covering agentic workflows, coding, scientific reasoning, and hallucination resistance. The tracker compares models on four key dimensions: intelligence score, cost per task, output speed in tokens per second, and latency to first token. Cost per Intelligence Index task varies significantly across models, with pricing segmented by input, cache hit, and output token types. Speed and latency metrics are measured separately, as high output throughput does not necessarily correlate with low time-to-first-token. The data enables direct price-to-performance comparisons, with a Pareto frontier identifying models offering the best intelligence per dollar spent.

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