We buy unused AI compute commitments at a discount - before they go to waste - and pass the savings on to you.
Joined July 2026
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Cheaper Inference retweeted
From prompt optimization using genetic pareto to benchmarking for field performance intel, #CheaperInference @CheaperInfer has it all if not more !
See for yourself at cheaperinference.com/signup?…
Time to use cheaper inference in Cursor
We’re ending our partnership with Cursor following its acquisition by SpaceX. Under our proposal, Cursor’s direct access to our models would end on November 12.
We know that the people most affected by this decision are the developers who rely on OpenAI models in Cursor. We care about their experience in this transition and we’re ready to go above and beyond to support them.
openai.com/index/our-decisio…
Cheaper Inference retweeted
We’re experiencing a surge in demand that’s pushing @CheaperInfer’s infrastructure to its limits.
You may encounter some issues over the next few hours while we scale up capacity. We apologize for the disruption.
We expect everything to be back to normal within approximately two hours.
This is true, DeepSeek is completely dominating our rankings
Prediction: Deepseek v4 flash will take over Claude as the no.1 winner in market share. It's the biggest story of 2026! Three reasons:
1. It's so cheap. 100x cheaper in unit token pricing.
2. It's so fast. Much much faster than Claude. My vibe check is around 2-3x faster.
3. It's so cache-efficient: most of my tokens spent are in cache read, and cache input pricing are $0.5/Mt Opus 5 v.s. $0.0028/Mt Deepseek.
Deepseek has a much higher cache hit rate, which means the overall effective cost per task could be upwards of 500x cheaper.
For something that's 500x cheaper AND 2-3x faster per task, why wouldn't Deepseek V4 Flash win.
Kimi K3 is available on cheaper inference and 30% cheaper than the list price!
Kimi K3 has received far more love than we expected, and our GPUs are feeling it.
Over the past 48 hours, demand has pushed close to the limits of our current capacity. To protect the experience of existing subscribers, we're temporarily pausing new subscriptions and prioritizing compute for current members. Existing subscribed users are not affected.
We're adding capacity as fast as we can and will reopen new subscription spots in batches.
Going forward, we'll also split membership into two more focused plans: Kimi Membership for Kimi Web, App, and Work; and Kimi Code Membership for coding workflows. This will help us match compute more precisely and keep the experience stable.
Thank you for your patience and understanding!
