
What a session costs in Hermes per model
GPT-5.6 Sol Pro costs 504× more per session than MiMo-V2.5 on Hermes.

GPT-5.6 Sol Pro costs 504× more per session than MiMo-V2.5 on Hermes.
GPT-5.6 Sol Pro costs 504× more per session than MiMo-V2.5 on Hermes.
Moonshot Kimi K3 is now the #2 model on OpenRouter per estimated spend, surpassing Opus 4.8 and getting closer to Opus 5
DeepSeek is the top Lab on OpenRouter by token consumption and v4 Flash 0731 the top LLM used.
For most of last year my daily average sat around 11 hours. I tried the usual stuff. Screen Time limits, deleting Instagram every Sunday night and reinstalling it Tuesday, iOs blockers with timers. All of it worked for about four days.
The problem was always the same. Any limit I set, I could undo in about six seconds. "Ignore for 15 minutes" is the most useless button ever shipped.
A friend of mine mentioned an he'd been using Screen Time Control DutyLock. He basically said that it blocks apps based on where you are, not how long you've used them.
You draw a zone on a map (your desk, the library, the gym, your bedroom) then you pick which apps get locked and that's it. Walk into the zone, apps lock, walk out, they unlock. There's no timer to wait out and no ignore button to tap.
That reframe was the whole thing for me. Time limits fail because they treat every hour the same. But my problem was never total usage. It was that I'd open TikTok at my desk at 9:15am and resurface at 10:40. The distraction was tied to specific places, so the block should be too.
I'm now averaging just under 3 hours. The bigger change is that a day feels long again. I finish what I planned to do, I sleep earlier, and I don't get to 11pm wondering where the day went.
EDIT: Some people asked here's the link for it.
GPT-5.6 Sol is the powerhouse flagship model optimized for deep, multi-step reasoning, complex programming.
GPT-5.6 Luna is the lightweight model optimized for high-volume, low-latency cost-efficient task execution.
So GPT 5.6 Luna takes most of
Token consumption, while GPT 5.6 Sol takes most of $ spend.
Why are Anthropic models seeing a decline in usage on OpenRouter?
While OpenAI models are showing growth on @
OpenRouter token consumption, Anthropic has been declining in usage for the last weeks.
OpenAI is seeing a surge in token usage on OpenRouter because of GPT-5.6 Luna, currently the #5 model by token usage and the first US based.
Estimated spend per lab on OpenRouter
Token consumption per lab on OpenRouter
Token usage on OpenRouter continues to grow, although there is a steep decline in users dollar spend per lab in the last two weeks.
This decline is mostly attributable to Anthropic models usage decline.
The average price of token routed through OpenRouter has fallen sharply this year, measured by average price of a token routed through the gateway, weighted by real per-model volume and priced from the OpenRouter catalog.
Moonshot is now #3 in dollar spent by OpenRouter users with 8% market share, after Anthropic (55%) and OpenAI (18%).
Grok 4.5 by usage on OpenRouter doubled in the last days and is showing high growth.
Open weights models usage on OpenRouter saw a slight decline in the last days but still sit above 50% of all token usage.
Claude Opus 4.8 now represents 40% of Anthropic token consumption on OpenRouter and 45% of the dollar spend.
OpenAI GPT-5.6 Sol represents 15% of OpenAI's tokens but already represents 34% of its estimated spend on OpenRouter.
Adoption curve of Kimi K3 on OpenRouter is very similar to
Deepseek v4 Flash and GLM 5.2 with the same number of days after launch.