Price: $0.10095 1.9375%
Market Cap: $15.75B 0.5365%
Volume (24h): 2.12B 0%
Dominance: 0.5365%
Price: $0.10095 1.9375%
Market Cap: $15.75B 0.5365%
Volume (24h): 2.12B 0%
Dominance: 0.5365% 0.5365%
  • Price: $0.10095 1.9375%
  • Market Cap: 15.75B 0.5365%
  • Volume (24h): 2.12B 0%
  • Dominance: 0.5365% 0.5365%
  • Price: $0.10095 1.9375%
Home > 视频 > Release a new model Opus 5.5 Vs Sol 6 together. What are the highlights this time? Calls for slowing down, but actually accelerating are inconsistent with words and deeds

Release a new model Opus 5.5 Vs Sol 6 together. What are the highlights this time? Calls for slowing down, but actually accelerating are inconsistent with words and deeds

Release: 2026/09/23 12:24 Reading: 0

Original author:为什么叫QQ

Original source:https://www.youtube.com/embed/F22wTQzVkI8

On September 21, xAI released Grok 4.7. On the 22nd, Anthropic released Claude Opus 5.5, and OpenAI released GPT-6 Sol and Luna. Ten days ago, Dario Amodei just announced that we must slow down the frontier, and both Musk and Sam Altman publicly agreed on X. They shouted to slow down and handed out models, but none of the three families were left behind. This issue talks clearly from a programmer’s perspective: the features and pricing of the three new models, the coordinate axes selected by each company in the benchmark test, the most worth-listening complaints on HN and Reddit, and the controversy over whether the model will become dumb two weeks after its release. The data comes from various official releases, Artificial Analysis third-party index, Dario blog original text and community discussions. Which model do you use to run the agent? Has the bill changed? Chat in the comment section. #ClaudeOpus5.5 #GPT6Sol #GPT6Luna #Anthropic #OpenAI #DarioAmodei #SamAltman #Musk #SlowdownFrontier #PaceTheFrontier #AISecurity #RecursiveSelf-Improvement #RSI #ClaudeCode #Codex #TerminalBench #ArtificialAnalysis #AIBenchmarking #ModelPricing #xAI #AIProgramming #Programmer #CodeMigration #AIagent #INTELLIGENT#Grok4.7 #Cache Optimization#API Price Reduction#AI Cost-Effectiveness#Technology Review

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