Urgent.News

What's breaking now, across thousands of outlets.

AI

Gemini 3.8 Flash vs Claude Fable 5.1 vs GPT-5.6 Sol: which API should developers use?

Gemini 3.8 Flash vs Claude Fable 5.1 vs GPT-5.6 Sol: Which API Should You Use? Three frontier APIs shipped or changed pricing within a week of one another, landing in three distinct price bands. Google released Gemini 3.8 Flash on September 2, 2026, at $0.75 per million input tokens and $3.75 per million output tokens. Anthropic released Claude Fable 5.1 the day before at $10 and $50. OpenAI’s…

Google, Anthropic, and OpenAI have recently launched or updated their respective API models - Gemini 3.8 Flash, Claude Fable 5.1, and GPT-5.6 Sol. These models have different pricing structures and specifications, with Gemini 3.8 Flash being the most cost-effective at $0.75 per million input tokens and $3.75 per million output tokens.

However, Gemini 3.8 Flash has a lower maximum output token limit of 65,536 compared to Claude Fable 5.1's 128K tokens and GPT-5.6 Sol's 128K tokens. Artificial Analysis has assigned an Intelligence Index score of 59 to Gemini 3.8 Flash, 57 to Claude Fable 5.1, and 59 to GPT-5.6 Sol, based on high and medium effort settings respectively.

Developers should consider the trade-offs between pricing, maximum output token limits, and the specific needs of their workloads when choosing a model for their applications.

Brief written by urgent.news from Dev.to's own syndicated text. Machine-written — may contain errors; check the original before relying on it.

Also reported by 1 other outlet

Read the original at dev.to →

More in AI

Making an application operable by an AI agent

An AI agent operating a real application, warehouse, orders, invoices, has to discover what it can do, build a request that's actually valid, and trust that what it writes gets checked before it…

  • RESTHeart framework enables AI agents to operate applications without extra AI code.
  • AI agent accesses application resources via configured ACLs specific to the user.
  • Clean schema design and encapsulated business logic make applications ready for AI agents.

More from Thursday 3 September →