{"slug": "the-thriving-ecosystem-of-open-models", "title": "The Thriving Ecosystem of Open Models", "summary": "Open-weight models now account for 69.1% of named token volume on the OpenRouter API platform, compared to 30.9% for closed models, according to the latest platform data. The shift, driven by rapid competition among developers and frequent model releases from labs including DeepSeek, Alibaba, and Tencent, signals growing developer willingness to route production traffic to open models. The trend marks a significant change in the AI economy, where open models are increasingly competing with proprietary alternatives on price and performance.", "body_md": "Competition is a discovery procedure. — Friedrich Hayek\n\nAnd developers are discovering the value of open models.\n\nOpenRouter offers a useful view into the model market. 1 It is not the whole AI economy. But it is close to the API frontier, where developers can switch models quickly, compare price-performance daily, & route each request to the best available option.\n\nSince 2025, open models have grown sharply on OpenRouter. In the latest model-level snapshot, open-weight models generated 69.1% of named open-versus-closed token volume. Closed models produced 30.9%.\n\nNew models attract developer attention & large scale testing, after which token use surges. Each new clustered release of different models sustains a new plateau of token volume.\n\nJust as in the closed-model ecosystem, the competition among open models means rapid innovation & leaderboard changes.\n\nDeepSeek’s early lead gave way to MiniMax & Kimi models in late 2025 & early 2026. Later, launches from MiMo, Qwen, Alibaba’s open-weight model family, Hy3, Tencent’s open-weight model release, & DeepSeek reshuffled share again.\n\nArcee, a US lab focused, makes a strong appearance recently.\n\nOpen models still represent a fraction of overall inference, but the thriving competition, increasing usage, & surge of experimentation suggest developers are increasingly willing to route production traffic to them.\n\nSource data: [OpenRouter rankings & usage data](https://openrouter.ai/rankings), analyzed from weekly token-volume snapshots in the OpenRouter analysis dataset. [↩︎](https://tomtunguz.com/index.xml#fnref:1)", "url": "https://wpnews.pro/news/the-thriving-ecosystem-of-open-models", "canonical_source": "https://www.tomtunguz.com/the-thriving-ecosystem-of-open-models/", "published_at": "2026-06-02 00:00:00+00:00", "updated_at": "2026-06-03 13:06:15.882872+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "large-language-models", "generative-ai", "ai-infrastructure"], "entities": ["OpenRouter", "DeepSeek", "MiniMax", "Kimi", "MiMo", "Qwen", "Alibaba", "Tencent"], "alternates": {"html": "https://wpnews.pro/news/the-thriving-ecosystem-of-open-models", "markdown": "https://wpnews.pro/news/the-thriving-ecosystem-of-open-models.md", "text": "https://wpnews.pro/news/the-thriving-ecosystem-of-open-models.txt", "jsonld": "https://wpnews.pro/news/the-thriving-ecosystem-of-open-models.jsonld"}}