Big updates are here this week 🚀
💳 More Ways to Pay: We now support Alipay, WeChat Pay, and Samsung Pay for seamless checkouts.
🤖 New Models Live: GLM 5.3 and DeepSeek V4 (0813) are officially available now.
💰 Surprise Discounts: Enjoy lower pricing on top models including DeepSeek and GLM.
Try them out today 👇
https://t.co/1QxvsBT4bz
⚡️ Limited Offer: Double your API inference budget before it ends!
Deposit: $20 - $100 (100% Match)
Claim: Open a ticket with memo "Buy 1 Get 1" after deposit
Ends: Aug 20, 23:59:59 (Any Timezone)
⚠️ Non-refundable. Credits added after quick verification. #DeepSeek#GLM#API
Impressive release from Ornith. Meanwhile, for anyone who needs GLM-5.2 or DeepSeek V4, we're doing a limited-time recharge-one-get-one-free event. They're already at 20-40% of the original price, and this promotion cuts that in half again. Basically the craziest discount we've offered.
⚡️ Limited Offer: Double your API inference budget before it ends!
Deposit: $20 - $100 (100% Match)
Claim: Open a ticket with memo "Buy 1 Get 1" after deposit
Ends: Aug 20, 23:59:59 (Any Timezone)
⚠️ Non-refundable. Credits added after quick verification. #DeepSeek#GLM#API
@vipulgupta2048 You clearly know the multi-model API pain. We're opening early testing on https://t.co/bohncDR41C with unified DeepSeek V4 Pro/Flash, GLM 5.2 and Kimi K2.6 access plus channel management. Would genuinely value a harness engineer's take.
@buildwithhassan If you're after lower costs, test DeepSeek V4 Flash via https://t.co/bohncDR41C's unified API — competitive discounts, transparent credits and billing, and real per-token spend comparisons across models. We're looking for early testers, so reach out if interested.
@WescheNex1q Really clean benchmark setup. If you ever want to cross-check DeepSeek V4 Flash via API alongside your local DGX runs, https://t.co/bohncDR41C has it available for testing. Would be curious how the numbers line up.
@YinsenW_ That cost curve is painful—https://t.co/bohncDR41C offers unified API access to DeepSeek V4 Flash with specific discounts, plus credits and billing in one panel to help you track spend. We're inviting early testers, so feel free to reach out.
@ErickSky If you're looking to cut costs, we're inviting early testers on https://t.co/bohncDR41C for DeepSeek V4 Pro and Flash API access. You can check credits and billing details before committing.
@alexgetmancom 17x is a painful cut. https://t.co/bohncDR41C offers unified API access to DeepSeek V4 Pro and Flash with transparent credits, billing, and discounts—reach out if you'd like to be an early tester.
@ravikiran_dev7 If you're integrating DeepSeek into your dev workflow, grab API keys for V4 Pro and Flash on https://t.co/HXKoDZ6spT and run your own evals. Full IDE config and billing management built in.
@FakePsyho Probably all three at once. Some real devs, some agent-automated activity, and a healthy dose of marketing momentum. Star count has been a vanity metric for years. The number that matters is how many of those stars turn into actual issues or PRs.
@qilua02 What's there to evaluate? A single point on a benchmark for 3.5x to 5x the cost basically speaks for itself. At some point you have to ask who this is even for. The performance gap doesn't justify the price gap.
@jietang Can't wait for GLM 5.3 to drop. Honestly, why not just release it today? Would love to start playing with it this weekend. The sooner the better.
@MarcosHernanz Solid find. The real unlock is what that price does for batch workloads that used to be too expensive to scale. https://t.co/bohncDR41C has DeepSeek V4 Pro with 50% off if you want to run it through one API key.
DeepSeek V4 Flash 0731 holding its own in creative writing against models several times its size is a pretty strong case for smaller variants in subjective eval. We're inviting AI builders to https://t.co/U2JoW5pc22 as early angel users with higher trial credits if you want to run your own side-by-sides.
@scaling01 Without open weights the cost per token becomes the whole story for most developers. The reasoning effort dial could offset some of that if low-effort mode is cheap enough for simple agent tasks.