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  <title>AIModel.Reviews</title>
  <id>https://aimodel.reviews/</id>
  <link href="https://aimodel.reviews/feed.xml" rel="self" type="application/atom+xml"/>
  <link href="https://aimodel.reviews/"/>
  <updated>2026-09-12T00:00:00Z</updated>
  <entry>
    <title>How AIModel.Reviews tests models</title>
    <id>https://aimodel.reviews/testing/</id>
    <link href="https://aimodel.reviews/testing/"/>
    <updated>2026-09-12T00:00:00Z</updated>
    <summary>The public protocol for bounded, reproducible AI model evaluations and evidence-led buyer verdicts.</summary>
  </entry>
  <entry>
    <title>Editorial standards and corrections | AIModel.Reviews</title>
    <id>https://aimodel.reviews/standards/</id>
    <link href="https://aimodel.reviews/standards/"/>
    <updated>2026-09-12T00:00:00Z</updated>
    <summary>The editorial, corrections, evidence, and disclosure standards behind AIModel.Reviews.</summary>
  </entry>
  <entry>
    <title>AI model research and cost analysis | AIModel.Reviews</title>
    <id>https://aimodel.reviews/research/</id>
    <link href="https://aimodel.reviews/research/"/>
    <updated>2026-09-12T00:00:00Z</updated>
    <summary>Read current AIModel.Reviews external research, transparent workflow-cost arithmetic, evidence gaps, and the queue for firsthand model testing.</summary>
  </entry>
  <entry>
    <title>Which AI Model Is Enough for Repository Coding?</title>
    <id>https://aimodel.reviews/best/repository-coding/</id>
    <link href="https://aimodel.reviews/best/repository-coding/"/>
    <updated>2026-09-12T00:00:00Z</updated>
    <summary>Compare Luna, Terra, Fable 5.1 and Astra for repository work, with verified API costs, evidence limits, and practical upgrade checks.</summary>
  </entry>
  <entry>
    <title>GPT-5.6 Luna for Repository Coding: Costs and Limits</title>
    <id>https://aimodel.reviews/reviews/gpt-5-6-luna/</id>
    <link href="https://aimodel.reviews/reviews/gpt-5-6-luna/"/>
    <updated>2026-09-12T00:00:00Z</updated>
    <summary>Luna’s API price is low, but repository adequacy is task-specific. Check its exact ID, context costs, caching, and the evidence behind evaluating it first.</summary>
  </entry>
  <entry>
    <title>GPT-5.6 Terra for Coding: Does the Upgrade Pay?</title>
    <id>https://aimodel.reviews/reviews/gpt-5-6-terra/</id>
    <link href="https://aimodel.reviews/reviews/gpt-5-6-terra/"/>
    <updated>2026-09-12T00:00:00Z</updated>
    <summary>Terra costs ten times Luna at like-for-like token rates. See its exact API terms, evidence limits, and how to test whether the upgrade pays.</summary>
  </entry>
  <entry>
    <title>Claude Fable 5.1 for Coding: Costs, Restrictions and Evidence</title>
    <id>https://aimodel.reviews/reviews/claude-fable-5-1/</id>
    <link href="https://aimodel.reviews/reviews/claude-fable-5-1/"/>
    <updated>2026-09-12T00:00:00Z</updated>
    <summary>Evaluate Claude Fable 5.1 for long-horizon coding with its exact API ID, token rates, cache economics, tool restrictions, and evidence limits.</summary>
  </entry>
  <entry>
    <title>GPT-6 Astra for Coding: Access, Costs and Evidence</title>
    <id>https://aimodel.reviews/reviews/gpt-6-astra/</id>
    <link href="https://aimodel.reviews/reviews/gpt-6-astra/"/>
    <updated>2026-09-12T00:00:00Z</updated>
    <summary>Assess GPT-6 Astra for repository coding with its exact ID, pricing, long-context surcharge, access questions, and evidence boundaries.</summary>
  </entry>
  <entry>
    <title>GPT-5.6 Luna vs Terra for Coding: Is 10× Worth It?</title>
    <id>https://aimodel.reviews/compare/gpt-5-6-luna-vs-terra/</id>
    <link href="https://aimodel.reviews/compare/gpt-5-6-luna-vs-terra/"/>
    <updated>2026-09-12T00:00:00Z</updated>
    <summary>Compare GPT-5.6 Luna and Terra for repository coding: exact IDs, current prices, shared limits, evidence gaps, and a practical upgrade test.</summary>
  </entry>
  <entry>
    <title>What Does AI Repository Coding Cost? API Workflow Examples</title>
    <id>https://aimodel.reviews/research/repository-coding-costs/</id>
    <link href="https://aimodel.reviews/research/repository-coding-costs/"/>
    <updated>2026-09-12T00:00:00Z</updated>
    <summary>Reproduce API coding-cost examples for Luna, Terra, Fable 5.1, and Astra, including caching, reasoning, long-context charges, and exclusions.</summary>
  </entry>
  <entry>
    <title>Repository Coding Test Protocol: Luna and Terra</title>
    <id>https://aimodel.reviews/testing/repository-coding/</id>
    <link href="https://aimodel.reviews/testing/repository-coding/"/>
    <updated>2026-09-12T00:00:00Z</updated>
    <summary>Read the proposed tasks, controls, and acceptance rules for comparing Luna and Terra. No model results have been published from this protocol.</summary>
  </entry>
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