GPT-6 Luna

5 articles tagged with GPT-6 Luna

September 23, 2026
model releaseAnthropic

Anthropic Ships Claude Opus 5.5, OpenAI Counters with GPT-6 Sol and Luna Hours Later, Triggering Sharp Price Cuts

Anthropic released Claude Opus 5.5 with a 20% price cut, and roughly an hour later OpenAI shipped GPT-6 Sol and GPT-6 Luna at roughly half the price of their GPT-5.6 predecessors. The releases follow Grok 4.7 and MiMo v2.6 from the previous day, intensifying competition among frontier model providers.

September 22, 2026
model releaseOpenAI

Anthropic and OpenAI Cut Prices With Claude Opus 5.5, GPT-6 Sol and GPT-6 Luna

Anthropic released Claude Opus 5.5, claiming roughly 40% lower running costs than Opus 5, while OpenAI introduced GPT-6 Sol and GPT-6 Luna with API prices cut 50% from GPT-5.6 promotional rates. The releases mark the first launches from either lab since Anthropic CEO Dario Amodei called for an industry slowdown on advanced AI development.

model releaseAnthropic

Anthropic Ships Claude Opus 5.5, OpenAI Launches GPT-6 Sol and Luna — All Cheaper Than Predecessors

Anthropic released Claude Opus 5.5 at $4/$20 per million input/output tokens, undercutting Opus 5's $5/$25 pricing while claiming better agentic coding scores. OpenAI countered with GPT-6 Sol ($2/$10) and GPT-6 Luna ($0.10/$0.50), both up to 50% cheaper than GPT-5.6's promotional rates.

model releaseOpenAI

OpenAI Launches GPT-6 Luna: Fast, Low-Cost Model With 1.1M Context Window

OpenAI has released GPT-6 Luna, the fast and cost-efficient entry in its new GPT-6 model family, featuring a 1.1M token context window and pricing starting at $0.10 per 1M input tokens. The model is positioned below GPT-6 Sol and GPT-6 Astra in OpenAI's tiered lineup.

model releaseOpenAI

OpenAI Releases GPT-6 Sol and Luna at Half the Price of Predecessors

OpenAI has released GPT-6 Sol and Luna, updated versions of its mid-tier and lightweight models, priced at half the cost of their GPT-5.6 predecessors. The company claims GPT-6 Sol makes roughly half as many factual errors as its predecessor, reaching what it calls 'Astra-level reliability' at lower cost.