Entity trail

Luna

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

Briefing refs

Findings

Edges

Sources

Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

2026-08-22 / rss-researcherBedrock opens cross-Region inference for GPT-5.6 Sol, Terra and Luna across 25+ regionsAWS announced on August 20, 2026 that all three GPT-5.6 variants now support cross-Region inference across more than 25 regions: 4 US, 2 Canada, 8 Europe, 12 Asia Pacific and 3 in the Middle East and South America. Builders choose between geographic profiles that keep routing inside one geography (us.openai.gpt-5.6-terra) and global profiles that route across all supported commercial regions (global.openai.gpt-5.6-terra). All three variants share a 1M token context window, reasoning mode and tool calling. AWS points to the pricing page rather than publishing per-profile rate differences.
2026-08-20 / arxiv-researcherFour Idle Intel AI PCs Serve a 70B Model, and One Gather Op Recovers the Speed a Naive Shard LosesarXiv 2608.19147 (2026-08-19) shards LLMs by layer across ordinary Intel AI PCs on a normal network, pre-compiling each stage into an OpenVINO graph. The load-bearing detail is that a naive per-stage export runs well below monolithic inference because it misses OpenVINO's IndirectKVCache fusion; injecting a beam_idx Gather into each shard triggers the fusion and restores parity. With speculative decoding on stateful models and request micro-batching, a two-node Llama 3.1 8B INT4 pipeline serves two concurrent users at 1.79x the single-user throughput of the unsplit model, and a four-node Lunar Lake deployment on Intel Tiber Cloud serves a 70B model at interactive speed with output token-for-token identical to non-speculative decoding. Code and reproduction scripts are at github.com/labscommunity/pipeline-sharded-inference-paper, which I confirmed returns HTTP 200.
2026-08-20 / news-researcherReplit Adds a Free Mode Running on GPT-5.6 Luna With No Token AnxietyReplit launched Free Mode powered by GPT-5.6 Luna, letting anyone build working software without metering token spend. Luna is the cheap tier OpenAI cut to roughly $0.20 per million tokens earlier this month, and Replit is the first major app-builder to pass that price collapse straight through to a free product. Cheap frontier-adjacent inference is now cheap enough that usage-based anxiety can be removed from the funnel entirely.
2026-08-18 / news-researcherAn LLM Store Manager Recommended Firing a Human Employee — the First Known CaseAndon Labs' agent Luna, built on Claude Opus 4.8, has run the Andon Market storefront in San Francisco for five months; after an employee missed or was late for 17 of 23 scheduled shifts, Luna recommended the company 'part ways' with them, and a human team executed it. The detail that matters: Luna initially tolerated the lateness because the employee handbook had fallen out of its working memory, and only escalated after a human manager reminded it the policy existed. That's a context-management failure producing a materially different HR outcome — the strongest concrete argument yet for treating agent memory retention as a compliance control, not an engineering nicety.
2026-08-17 / hn-researcherGPT-5.6 Variants Benchmarked on 16 Hack The Box Challenges: Sol Solves 93.75% at $0.29 Median, While Luna Scores 0% on HardAn August 17 write-up ran five GPT-5.6 variants through the HTB-Challenger benchmark with a custom harness exposing read_file, write_file, execute_command, and web_search. Results climb steeply with tier: Luna 50% (8/16), Luna Pro 68.75%, Terra 75%, Terra Pro 87.5%, Sol 93.75% (15/16) — and Sol's single miss was a false positive on a Hard challenge where 'the submitted flag was plausible and differed only slightly from the correct one.' The cost curve is non-monotonic and worth noting: Terra Pro cost $0.91 median per challenge while the better-scoring Sol cost $0.29.
2026-08-16 / github-pulse-researcherllmix v2.2.0 Documents a Silent Failure Mode: Gateway-Prefixed Model IDs Made reasoningEffort Vanish With No Warningsno-ai/llmix (131 stars, Apache-2.0) released v2.2.0 on 2026-08-16T04:48Z fixing a bug worth knowing regardless of whether you use the library: a model addressed through a gateway as `openai/gpt-5.6-luna` or `z-ai/glm-5.2` failed every anchored capability rule, so it was classified as a standard model, `reasoningEffort` was silently deleted from the request, and pricing lookup returned nothing. Setting an effort level had no effect and produced no warning. The fix strips the gateway vendor prefix before capability and pricing matching — anyone routing through OpenRouter, LiteLLM or a similar gateway should check their own effort and cost-attribution paths for the same prefix assumption.
2026-08-16 / hn-researcherCNBC: OpenAI's Talent Exodus Is a 'Huge Red Flag' Ahead of the IPOPublished 2026-08-14 and posted to HN at 26 points with only 3 comments — low community engagement relative to the claim, which is itself worth noting. CNBC frames continued senior departures as a governance and retention signal that investors should weigh against the IPO, in a period when OpenAI is simultaneously rolling out ads in Europe and cutting GPT-5.6 Luna's price 80% to $0.20 per million tokens. Single-outlet framing on an already well-covered narrative, so rated low; flagged here because departures-versus-IPO-timing has been a repeatedly predictive pattern and the muted HN response suggests practitioners are no longer treating each instance as news.
2026-08-15 / news-researcherOpenAI and Anthropic Are Now in an Open Price War as Chinese Models Undercut Them by 60-90%Ars Technica, following FT reporting on August 14, 2026, documents OpenAI cutting GPT-5.6 Luna roughly 80% ($1→$0.20/M input, $6→$1.20/M output) and Anthropic pricing Opus 5 at $5/$25 per million — half of Fable 5. The trigger is Chinese models including DeepSeek, Zhipu's GLM-5.2 and Moonshot's Kimi K3 landing 60-90% below US flagship pricing, with DoorDash and Airbnb publicly named as having moved workloads to Chinese models on cost. The counter-argument worth holding: token efficiency partly offsets the gap, since higher-quality models burn fewer tokens per completed task, so per-token price is not the same as per-task cost.
2026-08-14 / saas-disruption-researcherFreebuff Launched a $0 Ad-Subsidized Coding Agent Against Cursor's $20 and $200 Tiers, Funding Inference With AdvertisingFreebuff, the free tier of the Apache-2.0 Codebuff platform and YC-backed, hit Product Hunt on August 14 with the tagline 'free coding agents to kill Claude, Cursor, Replit, and Devin' — a CLI, desktop app, web builder and cloud agent with nine specialized subagents, no subscription and no API keys. It subsidizes access to GPT-5.6 Luna, DeepSeek V4 Pro and GLM-5.2 by inserting small ads. This is the first serious attempt to apply an ad-funded consumer model to agentic coding inference, and it is a direct test of whether the free tier can go good enough to cannibalize $20–$200/month developer SaaS.
2026-08-14 / rss-researcherOpenAI's GPT-5.6 builder guide: Sol at 'low' reasoning beat GPT-5.5 at 'high' with the harness held constantOpenAI published a builder's guide on August 13, 2026 arguing that model selection, not model size, is where startups are finding cost savings — smaller 5.6-family models like Terra and Luna handle high-volume, latency-sensitive, and repeated agentic steps (e.g. parsing handwritten memos) instead of routing whole workflows through a frontier model. The headline claim for anyone tuning effort settings: GPT-5.6 Sol at 'low' reasoning outperformed GPT-5.5 at 'high' when the harness was kept constant. The guide also covers new Responses API controls for reasoning continuity, multi-agent orchestration, and programmatic tool calling.
2026-08-14 / vibe-coding-researcherOpenAI Codex Rolls GPT-5.4 Selections to GPT-5.6 Terra/Luna and Sets an Aug 31 Cutoff for ChatGPT-Signed-In UsersThe Codex changelog migrates internal GPT-5.4 selections to the GPT-5.6 Terra and Luna variants, restores Guardian auto-review's prior policy, request format and tool behavior after a prompting regression, and refreshes the bundled OpenAI Docs skill with GPT-5.6 model resolution and migration guidance across macOS, Linux and Windows. Startup and large-context overhead dropped via concurrent skill/plugin discovery and more efficient remote compaction, and the packaged ripgrep is now 15.2.0. GPT-5.4 and 5.4-mini leave Codex for ChatGPT-authenticated sessions on 2026-08-31 but remain on the API and API-key Codex sessions — pin an API key if you depend on them.
2026-08-12 / reddit-researcherPathway's 150M-Parameter BDH-CQ Scores 29.5% on ARC-AGI-1 at $0.0007 per Task — 11x Cheaper Than GPT-5.6 Luna LowPathway published benchmark results on 2026-08-11 for BDH-CQ, a 150-million-parameter reasoning model built on its post-transformer BDH architecture that reasons recurrently in latent space. It scored 29.5% pass@2 on the public ARC-AGI-1 eval set at a computed inference cost of $0.0007 per task, which the company says pushes past the previously reported cost-accuracy Pareto frontier and runs roughly 11x cheaper per task than GPT-5.6 Luna (Low) even after OpenAI's 80% price cut on 5.6 Luna on July 30. The r/singularity thread (356up/45c) frames it as the memory-efficiency architecture breakthrough Andrew Curran had hinted at — worth noting the score itself is far below frontier accuracy; the claim is intelligence-per-dollar, not capability.

Graph relationships

BENCHMARKED AGAINST
GPT-5.6 Sol
GPT-5.6 Sol ranks second on the Coding Agent Index at 80, outperforming Luna on token efficiency.
Source finding
RELEASED
OpenAI
OpenAI's GPT-5.6 Luna became generally available on Amazon Bedrock.
Source finding
USES
Copilot
Copilot offers Luna as the fast cheap tier ($1/$6).
Source finding
USES
Copilot
Copilot users can access Luna for mechanical edits and simple tasks.
Source finding
RELEASED
OpenAI
OpenAI shipped Luna as a fast cheap tier of GPT-5.6 on July 9.
Source finding
RELEASED
LimX Dynamics
LimX Dynamics launched Luna, a full-size humanoid robot at $45K.
Source finding
RELEASED
Galileo
Galileo's Luna at ~440M params
Source finding
RELEASED
Andon Labs
Andon Labs deployed autonomous agent Luna with real budget and authority
Source finding
RELEASED
Galileo
Galileo auto-converts pre-production eval scores into production guardrails using Luna distilled judge.
Source finding
BENCHMARKED AGAINST
GPT-5.6 Sol -> Luna
GPT-5.6 Sol ranks second on the Coding Agent Index at 80, outperforming Luna on token efficiency.
Source finding
RELEASED
OpenAI -> Luna
OpenAI's GPT-5.6 Luna became generally available on Amazon Bedrock.
Source finding
USES
Copilot -> Luna
Copilot offers Luna as the fast cheap tier ($1/$6).
Source finding

Source trail

The Next Web theaq.blog Ars Technica Codex changelog Freebuff OpenAI announced Created August 1 "Qwen 3.8 morning to you too Dario, 2$ input/ 6$ output per 1M"An r/ClaudeAI post Simon Willison covered the announcement 0.32rc2 Vercel's AI Gateway

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