---
title: "GPT-6 Sol, Luna, Opus 5.5 and Jev: what to test"
description: "New models offer lower API costs and typed decisions. Compare completed tasks before switching."
source: "https://blog.dvx.ventures/signals/gpt-6-sol-luna-opus-jev"
site: "DVx Blog"
publisher: "DVx Ventures"
type: "DVx Signal — Builder"
issue: "007"
published: "2026-09-26"
updated: "2026-09-26"
last_verified: "2026-09-26"
---

# DVx Signal — Builder 007 — GPT-6 Sol, Luna, Opus 5.5 and Jev: what to test

> New models offer lower API costs and typed decisions. Compare completed tasks before switching.

01

OpenAI

## Sol and Luna give builders cheaper GPT-6 options

September 22 launch · checked September 26 [Official source ↗](https://openai.com/index/introducing-gpt-6-sol-and-luna/)

| API model | Input / 1M | Output / 1M |
| --- | --- | --- |
| GPT-6 Sol | $2 | $10 |
| GPT-6 Luna | $0.10 | $0.50 |

*Standard API rates for requests at or below 272K input tokens. Cached input is cheaper; tools, retries and taxes are extra. [View official source ↗](https://developers.openai.com/api/docs/models/gpt-6-sol)*

- **What changed** — [OpenAI launched](https://openai.com/index/introducing-gpt-6-sol-and-luna/) both models September 22. Sol targets complex coding and agent work; Luna targets focused, high-volume tasks. Both accept text and images and return text.
- **Why it matters** — For 1 million uncached input and 200,000 output tokens spread across short requests, Sol costs $4 and Luna $0.20 at standard rates. That is a price comparison, not a quality ranking.
- **What to do** — Replay a few accepted tasks on both model IDs. Compare answer quality and total usage before routing volume to Luna.

Go deeper [Sol model details ↗](https://developers.openai.com/api/docs/models/gpt-6-sol)[Luna model details ↗](https://developers.openai.com/api/docs/models/gpt-6-luna)

02

Anthropic

## Opus 5.5 costs less per token than Opus 5

September 22 launch · checked September 26 [Official source ↗](https://www.anthropic.com/claude-opus-5-5)

| Per 1M tokens | Opus 5.5 | Opus 5 |
| --- | --- | --- |
| Input | $4 | $5 |
| Output | $20 | $25 |
| Cache read | $0.20 | $0.50 |

*Anthropic’s published API rates. Fast mode costs $8 input and $40 output per million. [View official source ↗](https://www.anthropic.com/claude-opus-5-5)*

- **What changed** — [Claude Opus 5.5](https://www.anthropic.com/claude-opus-5-5) is the first 5.5 model. Its input and output token rates are 20% below Opus 5; cache reads are 60% lower.
- **Why it matters** — Anthropic reports roughly 40% lower cost on its typical tasks because the model also uses fewer tokens. Treat that as a vendor result; your cost per completed task may differ.
- **What to do** — Run the same coding or research task on Opus 5 and 5.5. Record accepted result, tokens, cache use and retries.

Go deeper [Launch and pricing ↗](https://www.anthropic.com/claude-opus-5-5)

03

TypeSafe AI

## Jev returns decisions your code can use directly

September 15 launch · checked September 26 [Official source ↗](https://typesafe.ai/blog/introducing-system-one-models-and-jev/)

| Question | Returns | Useful for |
| --- | --- | --- |
| Choice | Option + probabilities | Routing |
| Score | Number + confidence | Prioritizing |
| Noul | 0–1 value | Yes/no signals |

*TypeSafe’s documented output types. A valid type does not guarantee a correct judgment. [View official source ↗](https://docs.typesafe.ai/introduction)*

- **What changed** — [Jev](https://docs.typesafe.ai/introduction) takes state and typed questions, then returns structured values rather than prose. It launched in early access. TypeSafe lists $0.042 per million input tokens; output is unmetered.
- **Why it matters** — This is a narrower tool for classification, scoring and routing. TypeSafe’s speed and accuracy comparisons are its own tests, not independent proof.
- **What to do** — Try it on labeled support tickets. Measure wrong routes, low-confidence cases and total cost before allowing automatic action.

Go deeper [Output types ↗](https://docs.typesafe.ai/introduction)[Launch details ↗](https://typesafe.ai/blog/introducing-system-one-models-and-jev/)

Also since the last issue

## Useful updates

### Copilot local sandboxing

[GitHub’s September 23 public preview](https://github.blog/changelog/2026-09-23-local-sandboxing-in-the-github-copilot-app/) limits local agents’ file, network and credential access by project. It is off by default and applies to new sessions.

### More models in Copilot

[GitHub’s September 25 roundup](https://github.blog/changelog/2026-09-25-github-copilot-weekly-releases-september-21/) lists Sol, Luna and Opus 5.5. Availability varies by Copilot plan; check the picker and usage terms.

### Gemini speech API

[Google’s September 23 release](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-8-text-to-speech/) adds Flash and Flash-Lite TTS. [Current API rates](https://ai.google.dev/gemini-api/docs/pricing) are $0.50 text input and $9 or $6 audio output per million tokens through December; both double January 1. The AI at Work edition has a sample.

---

*Source: https://blog.dvx.ventures/signals/gpt-6-sol-luna-opus-jev — DVx Blog, published by [DVx Ventures](https://dvx.ventures).*