OpenAI

ChatGPT Pro 500 costs $500/month for 25x Plus usage and Ultrafast. The $200 Pro plan drops to 10x Plus and 100 GPT-6 Pro messages a week on Oct 30, 2026. Full plan comparison and whether to upgrade, stay or downgrade.

OpenAI dots are always-on ChatGPT agents on GPT-6 Astra, each with its own cloud computer and 4,000+ app plugins. Who gets them, what they cost, setup, safety rules, limits, and how they compare with Meta Muse and Grok Bot.

Claude Sonnet 5.5 and GPT-6.1 Sol launched a day apart at the same $2/$10 price. Sonnet leads Artificial Analysis's Intelligence Index v4.3.2 56.00 to 51.83; Sol costs $0.72 per task vs $7.67. Benchmarks, caching, long-context pricing and a worked cost example.

GPT-6.1 Sol launched 29 Sep 2026: $2/$10 per 1M tokens, $0.10 cached input, 1.05M context. Specs, 272K pricing rules, benchmarks vs GPT-6 Astra, GPT-6 Sol and Claude, and a Responses API quickstart.

Claude Opus 5.5 and GPT-6 Sol launched 90 minutes apart on 22 Sept 2026. Opus 5.5 wins on benchmarks; Sol costs half per token. Pricing, cost per task, shared benchmarks, Claude Code vs Codex, and which to pick.

GPT-6 Sol ($2/$10) and GPT-6 Luna ($0.10/$0.50) launched 22 Sept 2026 at half the price of GPT-5.6. Specs, model IDs, pricing, OpenAI vs independent benchmarks, availability, API code, and Sol vs Astra.

Claude Opus 5.5, GPT-6 Astra and Grok 4.7 compared on list, cache and long-context pricing, context windows, shared benchmarks, Artificial Analysis cost per run, and availability, plus a decision table by workload.

OpenAI classified GPT-6 Astra as the first model to meet the Critical cybersecurity threshold under its Preparedness Framework. What the system card actually documents, what safeguards shipped, and what the June 2026 executive order really says.

OpenAI released GPT-6 Astra on 3 September 2026. Verified specification table, OpenAI-reported vs independently measured benchmarks, the 272K pricing cliff, staged rollout, and the API migration gotchas.

Two different products share the name Astra. GPT-6 Astra is OpenAI's new flagship model; Google Project Astra is a DeepMind research prototype whose features ship inside Gemini Live. Here is the side-by-side.

GPT-6 Astra costs $10/1M input and $50/1M output, but crossing 272K tokens reprices the entire request. Verified rates, the long-context cliff, and worked monthly costs.

There is no OpenAI model called GPT-5.6 Sol Ultra — the name is unverifiable and this page explains where it came from. What max reasoning effort actually costs on GPT-5.6 Sol and GPT-6 Astra, measured on Artificial Analysis's Intelligence Index v4.3.2, and how it compares with Claude Fable 5.

A neutral, source-led comparison of OpenAI GPT-5.6 (Sol, Terra, Luna) and Anthropic Claude Fable 5: pricing, intelligence and coding benchmarks, cost per task, and which to use.

A practical GPT-5.6 vs GPT-5.5 comparison: what actually changed across the new Sol/Terra/Luna tiers, pricing, reasoning modes, benchmarks, and a clear decision guide on whether to upgrade or stay put.

OpenAI's GPT-5.6 family — Sol, Terra, Luna — tiers, current pricing after the July 30 cuts, Ultrafast and Cyber, benchmarks, and how to choose.

Yes, gpt-3.5-turbo is still available — until October 23, 2026 (instruct: Sept 28). Exact shutdown dates, and why OpenAI points migrations at GPT-5.6 Terra.

OpenAI's GPT-5.5 Cyber ships gated under the Daybreak program. What 'trusted access' means, the CyberGym-vs-Mythos-5 benchmark claim (and its caveats), and what defenders and developers should take from it.

GPT-5.5 leads GLM 5.2 on Artificial Analysis's Intelligence Index v4.3.2 (38.36 vs 33.71), and both carry roughly 1M context. The per-task cost gap is 1.8x, not the 6.8x the per-token rates imply.

GPT-5.5 Instant replaced GPT-5.3 as ChatGPT's default, Codex shipped Goal Mode and richer MCP, and a GPT-5.6 entry briefly surfaced in OpenAI's Codex logs. Here is the complete May 2026 OpenAI changelog and what it means for developers.

GPT-5.6 (Sol, Terra, Luna) hit general availability on July 9, 2026. Release timeline, the July 30 price cuts, Ultrafast, Cyber, and what to run now.

A neutral 2026 comparison of Claude Code and OpenAI Codex: SWE-bench scores, Terminal-Bench, real pricing, token efficiency, sandboxing, and a clear decision framework for engineering teams.

DeepSeek V4 launched the same week as GPT-5.5 and GPT-5.5 Pro. We break down the benchmarks, pricing, 1M-context engineering, coding wins, and which model your team should actually deploy.

The rapid evolution of large language models (LLMs) has led to fierce competition between open-source initiatives and proprietary giants. Two of the most advanced models in 2025 are DeepSeek R1-0528, an open-source model from DeepSeek AI, and OpenAI’s O3, a closed-source flagship. Both models are at the cutting edge

Quick answer. o3 remains a strong reasoning-tier coder for math-heavy work but is now mid-tier in 2026 — GPT-5 (74.9% SWE-bench Verified) and GPT-5.5 (58.6% SWE-Bench Pro) clearly lead. Gemini 2.5 is best for long-context refactors; o4-mini is the cheap, fast pick for boilerplate. Reach for o3