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title: The new GPT-5.6 family: Luna, Terra, Sol | daily.dev
description: OpenAI released GPT-5.6 in three sizes — Luna, Terra, and Sol — with pricing ranging from $1/$6 to $5/$30 per million input/output tokens. The models claim...
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# The new GPT-5.6 family: Luna, Terra, Sol

**[Simon Willison](https://daily.dev/sources/simonwillison)** · 4 min read · 1 upvotes · 0 comments

## Summary

OpenAI released GPT-5.6 in three sizes — Luna, Terra, and Sol — with pricing ranging from $1/$6 to $5/$30 per million input/output tokens. The models claim strong agentic performance, with Sol scoring 53.6 on the Agents' Last Exam benchmark, outperforming Claude Fable 5 by 13.1 points. Notably, OpenAI published a critique of SWE-Bench Pro the day before the release, estimating ~30% of its tasks are broken — a benchmark where Fable 5 significantly outperformed GPT-5.6 Sol (80% vs 64.6%). New API features include Programmatic Tool Calling (composing JavaScript to orchestrate tool calls), native multi-agent support, explicit prompt cache breakpoints, and an option to skip image resizing. The author notes GPT-5.6 Sol is competent but hasn't yet surpassed Fable 5 for complex coding tasks in personal use.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://simonwillison.net/2026/Jul/9/gpt-5-6>

## Questions this post answers

### What are the prices for OpenAI's GPT-5.6 Luna, Terra, and Sol models per million tokens?

GPT-5.6 Luna costs $1 per million input tokens and $6 per million output tokens, Terra costs $2.50/$15, and Sol costs $5/$30. For comparison, Claude Opus models are priced at $5/$25 and Claude Fable 5 at $10/$50 per million tokens, though reasoning token volume varies significantly across models for the same task.

_Developers comparing model costs before committing to an API can track pricing shifts like these on daily.dev._

### How does GPT-5.6 Sol perform on SWE-Bench Pro compared to Claude Fable 5?

Claude Fable 5 scored 80% on SWE-Bench Pro compared to GPT-5.6 Sol's 64.6%, a result OpenAI itself reported. OpenAI published a separate audit the day before GPT-5.6's launch estimating that roughly 30% of SWE-Bench Pro tasks are broken, which may explain the timing given Sol's weaker showing on that particular benchmark.

_Anyone weighing GPT-5.6 against Claude Fable 5 for coding tasks can follow benchmark scrutiny like this on daily.dev._

### What is Programmatic Tool Calling in OpenAI's GPT-5.6 API?

Programmatic Tool Calling is a new GPT-5.6 API feature that allows the model to compose and run JavaScript to orchestrate tool calls within a single turn, rather than making one tool call at a time. It resembles Anthropic's dynamic filtering mechanism for its web search tool, and may help bridge the gap between MCP-style tool use and full terminal sessions that chain CLI utilities.

_Engineers building agentic tool-calling workflows can keep tabs on API features like this via daily.dev._

---

Tags: [#ai](https://daily.dev/tags/ai), [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#openai](https://daily.dev/tags/openai), [#gpt](https://daily.dev/tags/gpt)

[View this post on daily.dev](https://daily.dev/posts/the-new-gpt-5-6-family-luna-terra-sol-nvvgbeebk)

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