model routing

5 articles tagged with model routing

October 10, 2026
changelog+1

Google removes model picker for free Gemini app users, locking them to 'Auto' routing that defaults to Flash-Lite

Google has removed manual model selection for free Gemini app users, leaving 'Auto' as the only option. Most prompts will go to Flash-Lite, with harder ones routed to Flash or Pro, according to Google. New thinking levels (Low, Medium, High) are also rolling out to subscribers.

September 16, 2026
model release

TypeSafe Launches Jev, a Non-Generative 'Decision Model' Claiming Up to 200x Faster, 400x Cheaper Than Small LLMs

TypeSafe, founded by ChatGPT co-inventor Diogo Almeida, launched Jev on September 15, 2026 — a model that cannot generate free-form text but claims to classify, route, and score 20-200x faster and 40-400x cheaper than small frontier LLMs. Trained via a new method called RLCD, Jev targets production systems that use LLMs purely as structured judges or routers.

September 14, 2026
changelogDeepSeek

OpenRouter Adds 'DeepSeek Pro Latest' Alias With 1M-Token Context Window

OpenRouter has introduced DeepSeek: DeepSeek Pro Latest, a routing alias that automatically points to whichever DeepSeek Pro model is newest. The endpoint offers a 1,049K token context window at $0.58 per 1M input tokens and $1.74 per 1M output tokens.

July 24, 2026
changelogSakana AI

Sakana AI Claims Fugu Ultra v1.1 Router Beats Anthropic's Fable 5 Without Including It in the Pool

Sakana AI has released Fugu Ultra v1.1, an update to its multi-model router, claiming performance gains up to 7.9 points over v1.0 and results that beat Anthropic's Fable 5 despite Fable 5 not being part of the router's model pool. All benchmark figures come from Sakana itself and remain unverified.

June 2, 2026
product updateOpenRouter

OpenRouter Launches Fusion: Multi-Model Consensus System That Runs Expert Panels in Parallel

OpenRouter has released Fusion, a multi-model routing system that processes prompts through parallel expert model panels with web search enabled, then uses a judge model to synthesize consensus, contradictions, and unique insights. Users pay the sum of all underlying model completions rather than a single model price.