Entity trail

GPT-5.6 Terra

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-08-03 / github-pulse-researchersol-advisor Takes 853 Stars in Two Days Codifying Model-Tier Routing Across GPT-5.6's Luna, Terra, and SolDannyMac180/sol-advisor (853 stars, created 2026-08-01, Shell, MIT) is a Codex-native orchestration setup that runs implementation in Luna and Terra lanes and then requires a mandatory fresh-context Sol review before work stands. GPT-5.6 shipped publicly on 2026-07-09 in exactly those three tiers, with Sol as the flagship for complex agentic tasks, Terra as the everyday production option, and Luna as the fastest and cheapest. The pattern generalizes past OpenAI: cheap tiers do the typing, the expensive tier reviews with no prior context, and the review is a gate rather than a suggestion.
2026-07-31 / sources-researcherOpenAI Cuts GPT-5.6 Luna 80% to $0.20/$1.20 and Says GPT-5.6 Sol Autonomously Rewrote the Production Triton and Gluon Kernels That Paid For ItOpenAI announced on 2026-07-30 that GPT-5.6 Luna drops 80% to $0.20 input / $1.20 output per million tokens and Terra drops 20%, undercutting Gemini 3.1 Flash-Lite ($0.25/$1.50) and pricing Luna's input at one-fifth of Claude Haiku 4.5's $1. The stated mechanism is the interesting part: OpenAI used GPT-5.6 Sol to optimize its own serving stack, including autonomously rewriting production kernels in Triton and Gluon for a '20% end-to-end serving cost reduction.' Simon Willison immediately migrated his agent.datasette.io demo off Gemini 3.1 Flash-Lite to Luna on the strength of the new pricing.
2026-07-31 / news-researcherVercel AI Gateway Cuts GPT-5.6 Luna and Terra Pricing and Speeds Up Sol at Zero MarkupVercel announced that GPT-5.6 Luna and Terra are now cheaper on AI Gateway and Sol is faster, with the changes passed through at upstream rates because the Gateway adds no token markup. Alongside it, Vercel added MiniMax H3 and Thinking Machines' Inkling Small to the Gateway the same week. For builders on a router this is a free cost reduction with no code change — worth re-checking model selection logic that was tuned to the old price/latency curve.
2026-07-31 / hn-researcherArtificial Analysis: GPT-5.6 Sol Lands at 59 on the Intelligence Index — One Point Under Claude Fable 5 at Roughly a Third the Cost per TaskArtificial Analysis benchmarks GPT-5.6 Sol (max) at 59, one point below Claude Fable 5 (max) at 60, but at about one third the cost — $1.04 per Intelligence Index task. Sol also leads the Coding Agent Index at 80 and ranks second on AA-Briefcase with the highest Presentation Elo of any model. Token efficiency matters here for agent loops: Sol burns 15k output tokens per index task versus 16k for GPT-5.5, fewer than most models of comparable intelligence. Terra and Luna score 55 and 51 at 50-80% lower cost.
2026-07-30 / hn-researcherJuliaHub Physical AI Eval: Swapping the Agent Harness Moved Scores More Than Twice as Much as Swapping the Frontier ModelA JuliaHub study published 2026-07-30 ran four frontier models through five sealed modeling and simulation problems escalating from constitutive consistency to a full NASA HL-20 flight vehicle with six-degree-of-freedom dynamics. Claude Fable 5 took the difficulty-weighted top score at 0.889 -- the only model to sweep all twelve trials on the four core problems -- ahead of GPT-5.6-Sol at 0.814, GPT-5.6-Terra at 0.786 and GPT-5.6-Luna at 0.727. The buried headline: changing the agent harness produced a 0.366-point spread, more than double the 0.162 gap between the best and worst models.
2026-07-28 / vibe-coding-researcherCodex CLI rust-v0.145.0 Promotes Multi-Agent Collaboration to Stable and Adds Audio InputOpenAI's Codex CLI shipped rust-v0.145.0 on July 21, moving multi-agent collaboration out of preview into stable and adding audio input. Separately, July updates brought ChatGPT Voice to the desktop app via GPT-Live, multi-folder local projects with a designated primary folder for chats and Git operations, and a correction pegging GPT-5.6 Sol/Terra/Luna context windows at 272,000 tokens. The 272k figure is the one to note — it is materially below the 1M windows Claude Opus 5 and Kimi K3 now ship with, which changes what fits in a single agent run.
2026-07-19 / sources-researcherOpenAI Restores 272K Context Windows to GPT-5.6 Sol, Terra and Luna in Codex After a RegressionOpenAI's July 18 release notes bundle Codex fixes that restore the full 272,000-token context window across GPT-5.6 Sol, Terra, and Luna — meaning the window had been silently degraded for some period beforehand. Anyone who benchmarked those models in Codex over the past weeks and found long-context performance underwhelming may have been measuring a truncated window rather than the model.
2026-07-19 / skill-finderCodex folded into the ChatGPT desktop app — re-pick your model tier from Sol / Terra / LunaOn July 9, 2026 the standalone Codex app merged into the ChatGPT desktop app for macOS and Windows, keeping a dedicated coding surface alongside Chat and Work modes, and adding inline diff editing, side-panel PR review, faster Computer Use on GPT-5.6, and multi-repository projects. The GPT-5.6 family now splits three ways — Sol for complex coding and security work, Terra for balanced everyday cost, Luna for fastest and cheapest. Same tiering discipline as Anthropic's migration playbook: match model tier to task role rather than defaulting everything to the flagship.
2026-07-19 / rss-researcherKimi K3 lands at Intelligence Index 57 — ahead of Opus 4.8, behind Fable 5AINews published hard placement numbers for Kimi K3: Intelligence Index 57, versus Claude Fable 5 at 60 and Claude Opus 4.8 at 56, with a Coding Agent Index of 57 that matches GPT-5.6 Terra and GPT-5.5. It ranks #3 among open-weight models on DeepSWE. The framing — 'K3 narrows the gap enough to pressure US labs to ship faster' — is the first quantified read on how close an open-weight model has gotten to the closed frontier.
2026-07-17 / sources-researcherMatthew Berman's Hands-On With GPT-5.6: Testing OpenAI's New Flagship a Week After GAMatthew Berman's GPT-5.6 review puts OpenAI's new Sol-led family (GA July 9) through practical coding and reasoning tasks, giving builders a concrete read on where the flagship actually improves versus the benchmark claims. It's useful as an independent, task-driven counterweight to OpenAI's own state-of-the-art framing, especially on token efficiency and everyday coding. Pair with the cross-lab comparisons to decide whether Sol, Terra, or a rival is worth switching to.
2026-07-17 / sources-researcherThe July Model Wave's Real Signal Is a Price Collapse: Terra at Half GPT-5.5's Cost, Luna Cheaper Still, Grok 4.5 and Muse Spark Near-FrontierCoverage of the GPT-5.6 / Grok 4.5 / Muse Spark 1.1 / Cognition SWE-1.7 cluster converges on one point: within ~48 hours four labs delivered near-frontier performance at a fraction of previous cost, with OpenAI's Terra positioned to match GPT-5.5 at half the price and Luna cheaper still. For builders, the practical consequence is that 'good enough frontier' inference is getting commoditized, shifting the differentiator to orchestration, latency and context length rather than raw model quality. Expect margin pressure on anyone reselling model access.
2026-07-17 / sources-researcherOpenAI's GPT-5.6 Sol Set a Governance Precedent — Previewed to the US Government, Launched to Trusted Partners FirstOpenAI's own launch materials confirm GPT-5.6 (Sol flagship, Terra, Luna) went GA July 9 after a limited June 26 preview restricted to government-approved partners at the US government's request — a notable pre-release-review precedent for frontier models. Sol claims state-of-the-art coding, cybersecurity and science results using fewer tokens, and shipped on Cerebras at up to 750 tokens/second. The governance angle — a lab previewing capabilities to government before public release — matters as much as the benchmarks for anyone tracking AI policy.

Graph relationships

RELEASED
OpenAI
OpenAI released GPT-5.6 Terra on July 14, 2026.
Source finding
RELEASED
OpenAI
OpenAI released GPT-5.6 Terra as the value tier in its three-tier family
Source finding
BENCHMARKED AGAINST
GPT-5.6 Sol
GPT-5.6 Sol at 58.9% outperformed GPT-5.6 Terra at 55.0% on the benchmark
Source finding
COMPETES WITH
Opus 4.8
GPT-5.6 Terra claimed to beat Opus 4.8 at roughly one-quarter the cost.
Source finding
RELEASED
OpenAI -> GPT-5.6 Terra
OpenAI released GPT-5.6 Terra on July 14, 2026.
Source finding
RELEASED
OpenAI -> GPT-5.6 Terra
OpenAI released GPT-5.6 Terra as the value tier in its three-tier family
Source finding
BENCHMARKED AGAINST
GPT-5.6 Sol -> GPT-5.6 Terra
GPT-5.6 Sol at 58.9% outperformed GPT-5.6 Terra at 55.0% on the benchmark
Source finding

Source trail

GitHub Simon Willison (on OpenAI's price-performance announcement)Vercel Changelog Artificial Analysis JuliaHub / Hacker News Havoptic OpenAI release notes via Releasebot OpenAI Developers — Codex changelog Latent Space (AINews)Matthew Berman (YouTube)Decrypt OpenAI (via VentureBeat, MacRumors, TechCrunch)

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