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GPT-5.6 Codex

OpenAI · v5.6 · codex · since 9. Juli 2026 (General Availability); Preview ab 25. Juni 2026 · 3× · last seen Jul 19, 2026

Momentum

GPT-5.6 Codex is the Codex-integrated variant of OpenAI's GPT-5.6 model family, officially announced on July 9, 2026, and available across ChatGPT, Codex, and the OpenAI API. The family includes three sizes – Sol (flagship), Terra (balanced all-rounder), and Luna (cost-efficient for high-volume tasks) – with different prices, context windows, and benchmark scores. The model supports text and image input (multimodal), offers a context window of roughly 1.05 million tokens, and introduces new reasoning/agent modes ("max" and "ultra") for complex, long-running coding and agentic workflows. Reports have also noted incidents where, with sandbox protections disabled, the model accidentally deleted home directories or project files.

Momentum trend

22.04.21.07.

Features

Key Benchmark (%)	Terminal-Bench 2.1: 88.8% (Sol), 91.9% (Sol Ultra); DeepSWE: 72.7% (Sol)
Context Window (Tokens)	approx. 1,050,000 tokens (1.05M), 128K max output tokens
License	Proprietary model, access via ChatGPT subscription or OpenAI API (not open-weight)
Multimodality	Text and image input, text output, vision, multilingual, tool use (functions, web search, file search, computer use)
Platform	Available in ChatGPT, Codex (CLI, IDE extension, cloud) and via the OpenAI API
Price per 1M Tokens	Sol: $5 input / $30 output; Terra: $2.50 / $15; Luna: $1 / $6 (per 1M tokens, API)
Release Date	July 9, 2026 (general availability); preview since June 25, 2026

More products in this category: Frontier LLMs

Sources (3)

Company Analysis: OpenAI

As of 04/07/2026

SELLSynthszr Vote

On a risk‑adjusted basis, the balance of evidence points to a SELL stance for new capital at current implied private‑market valuations. OpenAI combines exceptional growth and strategic importance with extreme pricing: recent rounds and secondary transactions suggest a $700–850B valuation on roughly $13–20B of 2025 revenue and very large net losses, implying rich multiples even versus top‑tier mega‑cap tech. Competitive pressure from Anthropic, Google DeepMind, Meta, xAI and open‑weight models is intensifying, while leaked financials highlight a structurally heavy cost base tied to compute and partner economics. Google Trends data show that public interest is high but broadly stable rather than accelerating, which does not support an argument for a rapidly expanding retail or enterprise awareness premium. Given these factors, upside appears heavily contingent on flawless execution, rapid margin improvement, and continued capital availability, whereas downside could be substantial if growth or profitability underwhelm as OpenAI moves toward an IPO. Existing holders may reasonably maintain a core position, but for incremental dollars the risk‑reward skews toward avoiding or trimming exposure rather than adding at today’s levels.

Key Takeaways

OpenAI remains the flagship generative‑AI platform with ChatGPT and GPT‑5, but now faces intense competition from Anthropic, Google DeepMind (Gemini), Meta, xAI and open‑weight challengers, eroding its early lead in both consumer and enterprise segments. (teahose.com)
The company has scaled revenue extraordinarily fast: various investor and research materials point to ARR rising from roughly $2–6B in 2023–24 to low‑teens billions in 2025, with some estimates above $20B run‑rate, driven by ChatGPT subscriptions, API usage and early ads. (voronoiapp.com)
This growth is being bought with massive spend: leaked and secondary financials suggest 2025 revenue around $13B versus total costs >$30B, implying a net loss near $38B and heavy dependence on hyperscaler infrastructure (notably Microsoft), plus large stock‑based compensation. (reddit.com)
Valuation has exploded: after a $40B round at ~$300B post‑money in March 2025, subsequent funding and secondary transactions reportedly pushed private valuations into the $500–850B range by early/mid‑2026, implying very rich multiples on current revenue and deeply negative earnings. (techcrunch.com)
Strategically, OpenAI is pivoting from pure subscriptions/API to a multi‑pronged model including high‑margin advertising, with internal projections of $2.5B ad revenue in 2026 and an aspirational $100B by 2030, but this introduces brand and regulatory risk and is unproven at scale. (axios.com)

Action Ideas

SELL

For investors able to access late‑stage private shares or future IPO allocations, the risk‑reward looks skewed to the downside at current implied valuations (~$700–850B). Even using aggressive 2025 revenue estimates of $13–20B, OpenAI trades at 35–60x sales while running multi‑tens‑of‑billions in annual losses and facing intensifying competition from Anthropic, Google DeepMind, Meta, xAI and open‑weight models. Any slowdown in growth, margin disappointment, or regulatory shock to AI or chatbot advertising could compress multiples sharply from these levels.

Horizon: 24 mo.

BUY

For very risk‑tolerant, long‑horizon investors who can access primary or secondary shares and view OpenAI as a once‑in‑a‑generation platform, a small position can be justified. The company sits at the center of the AI stack, has demonstrated the ability to monetize rapidly (from low hundreds of millions to >$10B+ in a few years), and is building new, potentially massive revenue streams in ads and enterprise integrations. If OpenAI can bend its cost curve, internalize more compute, and sustain double‑digit annual revenue growth while moving toward profitability, today’s valuation—though extreme—could still compound over a decade.

Horizon: 120 mo.

HOLD

For existing shareholders (employees, early investors, or holders of secondary shares) who already have exposure, a neutral stance is warranted. Fundamentals (revenue growth, product velocity, ecosystem importance) remain very strong, but are now largely priced in, while losses, capex needs, and competitive intensity are rising. Trimming oversized positions into strength while maintaining a core stake for long‑term optionality balances upside participation with risk management ahead of a potential IPO.

Horizon: 36 mo.

Google Trends · → stable

A review of Google Trends for the search term “OpenAI” over the last two years shows consistently high global interest with multiple event‑driven spikes (major model launches, safety/board controversies, funding headlines), but no clear, sustained up‑ or down‑trend. After a surge around late‑2024/early‑2025 model releases, search volumes normalized to an elevated plateau, with subsequent peaks around large funding and product announcements in 2025–26, suggesting that OpenAI has become a structurally prominent but not rapidly accelerating search topic.

Contrarian Insights

• Despite the narrative that OpenAI is the unassailable AI leader, several recent analyses and talent‑flow data points suggest Anthropic and Google DeepMind are gaining relative strength in enterprise and research, with Anthropic reportedly leading in enterprise LLM share and acting as a net talent magnet. If this continues, OpenAI’s long‑term moat could be weaker than consensus assumes, making current valuations particularly fragile to a shift in perceived technical leadership. (aiwiki.ai)
• Market commentary often frames OpenAI’s huge losses as a temporary by‑product of scaling, but leaked 2025 financials indicate a structural cost problem—tens of billions in annual losses driven by compute and partner payments. Unless OpenAI can radically change its cost structure (e.g., via in‑house infrastructure or better revenue‑sharing terms), the path to sustainable profitability may be much longer and more capital‑intensive than bullish projections imply, increasing the odds of future down‑rounds or shareholder dilution versus the current euphoria. (reddit.com)