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GPT-6 Luna vs. Claude Haiku 5.5: Cost and Speed Analysis

By PulseAugur Editorial · [1 sources] ·

A comparative analysis of GPT-6 Luna and Claude Haiku 5.5 reveals that while their pass rates on four specific tasks (banking classification, mobile phone spam, review sentiment, and JSON extraction) are largely comparable, their cost-effectiveness and speed differ. GPT-6 Luna was more cost-effective for banking classification, whereas Claude Haiku 5.5 was cheaper for spam and sentiment analysis, with similar performance on JSON extraction. Claude Haiku 5.5 also demonstrated faster median response times across all tasks. AI

IMPACT Provides data-driven insights for selecting cost-effective and performant LLMs based on specific task requirements.

RANK_REASON Comparative analysis of LLM performance and cost on specific tasks. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GPT-6 Luna vs. Claude Haiku 5.5: Cost and Speed Analysis

How we ranked this

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34 / 100
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Tool
Comparative analysis of LLM performance and cost on specific tasks. [lever_c_demoted from research: ic=1 ai=1.0]
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product, other
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High
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 (CA) · Grain64 ·

    GPT-6 Luna vs Claude Haiku 5.5: cost per correct answer on 4 tasks

    <p>Short answer from four public runs: on pass rate these two cannot be told apart on these rows, and neither is cheaper everywhere. GPT-6 Luna cost about 1.5x less per correct answer on 77-intent banking classification; Claude Haiku 5.5 cost about 1.2x less on SMS spam and the s…

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