开源权重模型占 OpenRouter 命名模型 token 量 69.1%
The Thriving Ecosystem of Open Models
Tomer Tunguz 分析 OpenRouter 数据指出,最新一周开源权重模型占命名模型开放与闭源对比 token 量的 69.1%,闭源模型为 30.9%。
In short : Open-weight models reached 69.1% of named model-level OpenRouter token volume in the latest week, while provider leadership fragmented across Anthropic, DeepSeek, Google, OpenAI, & a large long tail.
Competition is a discovery procedure. — Friedrich Hayek
And developers are discovering the value of open models.
OpenRouter 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.
Since 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%.
New 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.
Just as in the closed-model ecosystem, the competition among open models means rapid innovation & leaderboard changes.
DeepSeek’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.
Arcee, a US lab focused, makes a strong appearance recently.
Open 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.
-
Source data: OpenRouter rankings & usage data, analyzed from weekly token-volume snapshots in the OpenRouter analysis dataset. ↩︎
Get the next one in your inbox
The 1-minute read that turns tech data into strategic advantage.
Read by 150k+ founders & operators.
GP at Theory Ventures. Former Google PM. Sharing data-driven insights on AI, web3, & venture capital.
来源:Tomer Tunguz 博客(VC 分析) · tomtunguz.com