GPT Models
GPT-5.6 Sol / Terra / Luna model selection and comparison, covering o-series reasoning, GPT-Realtime-2.1 voice, and GPT Image 2.
This channel tracks the OpenAI flagship model family — how to pick between the current GPT-5.6 Sol / Terra / Luna tiers by workload, and how to integrate the companion o-series reasoning models, the GPT-Realtime-2.1 voice family, and the GPT Image 2 image family. Every model list and release date stays in sync with the official changelog.
7 article(s) total
What you'll learn in this channel
These are the core topics this channel covers. Each featured article unpacks several of them in depth.
- GPT-5.6 Sol
- GPT-5.6 Terra
- GPT-5.6 Luna
- o-series reasoning
- Responses API selection
- Model migration paths
GPT-6-Astra Goes Live: Codex Model Picker and Amazon Bedrock Catalogs
Codex CLI 0.154.0 (2026-09-09) lists GPT-6-Astra first in its model picker and adds it to Amazon Bedrock; a bundled official guide confirms Responses API usage and six reasoning levels topped by ultra. Pricing figures remain unpublished.
Read articlegpt-6-astra appears in the OpenAI SDK: the new ChatModel ID and the Safety Alerts API
openai-python v3.8.0 and openai-node v7.10.0 (2026-09-03) added gpt-6-astra to the ChatModel enum ahead of the GPT-5.6 tiers, plus a Safety Alerts API and misalignment error details. This article only states what SDK source shows.
Read articlereasoning.effort in Practice: Making Reasoning Depth a Tunable Parameter
Same model, adjustable thinking depth. This tutorial covers the reasoning.effort syntax, per-tier scenarios, how it interacts with max_output_tokens and the incomplete status, and the cost consequences of getting it wrong.
Read articleGPT-5.6 vs Claude 4.5 Sonnet vs Gemini 2.5 Pro: 2026-08 production comparison
GPT-5.6 / Claude 4.5 Sonnet / Gemini 2.5 Pro flagship models compared: code / multimodal / long context / long reasoning / tool use / price. Third-party benchmarks + real scenario tests. Multi-model selection decision matrix.
Read articleGPT-5.6 Fine-Tuning in Practice: Cost, Quality, and When to Skip It
GPT-5.6 fine-tuning (SFT / DPO): when it's worth doing and when prompt engineering is cheaper. A decision framework, cost estimate, and three real scenarios.
Read articleGPT-5.6 Model Selection Guide (2026): Sol, Terra, or Luna?
How to pick between GPT-5.6 Sol / Terra / Luna without wasting money or breaking quality: a workload-first framework, the reasoning.effort dial, cost math, and the o-series boundary.
Read articleThe complete guide to GPT models (2026-07): GPT-5.6 Sol, Terra, Luna
OpenAI's current flagship model family is GPT-5.6 (2026-07-09), split into Sol / Terra / Luna. Capability tiers, pricing, context, reasoning effort, and which to pick — plus GPT-Realtime-2.1 voice and GPT Image 2.
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