The lead
Kimi K3.1 Pro ships open weights, and open-weight labs now carry 75 percent of OpenRouter traffic, with DeepSeek alone at 55 percent
Moonshot reports 94.2 on GPQA-Diamond and 75.5 on DeepSWE at maximum reasoning effort; a LocalLLaMA thread already argues the scores are tuned to the benchmarks. The traffic split is the harder number: on the main paid router, most tokens now run on models anyone can download.
Moonshot published the Kimi K3.1 Pro weights: a 2.8 trillion parameter mixture-of-experts model with 104 billion active, a 1 million token context and a custom licence. On 4 November, DeepSeek took 54.9 percent of 25.9 trillion OpenRouter tokens, open-weight labs 75.1 percent, OpenAI 10.4 and Anthropic 8.9.
CONVOIn an interview on AI cost, say it plainly: on OpenRouter three tokens in four now go to open-weight models, so the price of a capable model is heading to the cost of compute.