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Today we step out of stealth.
BasedAI is the acceleration and commercialization layer for open source AI, building the next decade of intelligence.
Models, agents, and workflows — enterprise-ready, open by default.
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BasedAI
50 posts
BasedAI
@BasedAI_co
- BasedAI reposted
- Replying to @BasedAI_coThis is the moment open weights stop being the cheaper alternative and become the floor everything else prices against. The race used to be access. The race now is cost per outcome. The long version is on
- Replying to @BasedAI_coDepending on the model you benchmark and how cache-heavy the workload is, the same task lands 6 to 30 times cheaper on open weights. The capability gap closed last year. What's left is a price gap - and price gaps grounded in cost structure don't close from the expensive side.
- Replying to @BasedAI_coPut the agentic numbers side by side. Frontier output: $15–$30 per million tokens. Open weights served at Flash rates: $0.28 per million. Agentic work is output-heavy and runs in loops. The output rate is the number that dominates the bill.
- A sale has an end date. On May 31, DeepSeek made its 75% V4-Pro price cut permanent - published rate from $1.74 / $3.48 per million tokens to $0.435 / $0.87, no expiry. A permanent price is a vendor pricing at the level its cost structure supports.
- Most companies use AI like a marginally better photocopier. The ones who redesign their work around it see 5x the impact, and we've known why since 1881, when factories made the exact same mistake with electricity. The full story, new on the blog: basedai.co/blog/the-1-tri…
- BasedAI reposted
New Myth just dropped: "the model is included in your plan". Legend says if you check your subscription at midnight on the 22nd, it vanishes. Your Hirebase coworkers? Always running on the best-performing model for the task at hand. No countdown timers. - BasedAI repostedMost teams picked one expensive model and run everything through it - the cold email and the genius-level problem - paying the same rate. @JoshGoodbody on why you're paying a frontier price for work a cheap model finishes just as well, and what changes when the routing is
- $1 of open weight work does what costs $30 on a frontier lab model. Same agentic task, same kind of API call, open weights underneath.
- Frontier models are priced for benchmarks. Most enterprise work doesn’t need the benchmark — it needs the answer, inexpensively, on repeat. basedai.co/blog/cost-per-…
- Replying to @BasedAI_coThe race used to be access. The race is now cost per outcome. Open weights win it on cost. The long argument is on
- Replying to @BasedAI_coOpen weights, served through a standard API, answer the same workload for roughly 80–95% less than the frontier-API equivalent. Same kind of API call. Open weights underneath. 5–20× cheaper, priced per model.
