GPT-5.6 Luna vs. GPT-6 Astra: Is a $1.20 Model Good Enough for Code Review?
GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output tokens. On the same pull requests, one Luna review cost $0.0041 and one Astra review cost $0.113, a 28x difference.Our last post compared Astra with GPT-5.6 Sol. This time we wanted to know what you give up if every pull request goes through the cheapest model.The short answerLuna found 69 verified bugs across 50 pull requests.
- ▪GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output tokens.
- ▪On the same pull requests, one Luna review cost $0.0041 and one Astra review cost $0.113, a 28x difference.Our last post compared Astra with GPT-5.6 Sol.
- ▪This time we wanted to know what you give up if every pull request goes through the cheapest model.The short answerLuna found 69 verified bugs across 50 pull requests.
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Record
| Original publisher | Entelligence |
| Canonical URL | https://entelligence.ai/blogs/gpt-5.6-luna-vs-gpt-6-astra-is-a-1.20-model-good-enough-for-code-review |
| Publication time | Mon, 14 Sep 2026 19:56:20 +0000 |
| Retrieval time | 2026-09-14T20:26:52.224Z |
| Last seen | 2026-09-14T20:26:52.224Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | bm8ewnJ_-8cA · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output tokens. GPT-6 Astra costs $10 and $50. On the same pull requests, one Luna review cost $0.0041 and one Astra review cost $0.113, a 28x difference.Our last post compared Astra with GPT-5.6 Sol. This time we wanted to know what you give up if every pull request goes through the cheapest model.The short answerLuna found 69 verified bugs across 50 pull requests. Astra found 92. Luna cost $0.20 for the whole run and Astra cost $5.66.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Entelligence.
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