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OpenAI's Decisions API Is Now Live for Everyone — and It Was Built to Catch a Startup

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  Most AI answers arrive as essays. OpenAI's new Decisions API doesn't write a word — it answers yes or no, picks from your categories, or scores on your rubric, in 100 to 180 milliseconds. It went generally available this week, and the backstory is the best part: OpenAI's own product lead, Nikunj Handa, reportedly admitted the product wasn't on the roadmap four weeks ago. A small startup forced the sprint. Yes or no, in 100 milliseconds The API runs on GPT-6 Luna. Developers send text or images plus typed questions and get machine-readable answers in three shapes: a probability that a condition is true, a pick from a fixed list with a probability for each, or a score on rubric levels you define. Input costs $0.10 per million tokens, and output tokens are free. It launched as a public beta on October 6 (after a limited DevDay preview in late September), and the general release adds voice and visual input plus geographically targeted inference. Early customer Speak, the...

Kling vs Veo: Which AI Video Generator Is Worth Your Money in 2026

Cover illustration of a showdown between Kling and Veo AI video generators, titled Kling vs Veo: Which AI Video Wins?
Kling logo
Google logo

Type a sentence, get a video. That promise is everywhere in 2026, but the AI video race has narrowed to two serious contenders: Kling, the Chinese challenger behind the new Kling 4.0, and Veo, Google's flagship video model. They charge you differently and they're built for different jobs. Here's the honest breakdown, with real 2026 prices.


The price question first


Kling is the cheaper way in. Its free plan hands you 66 credits to play with (watermarked, 720p, non-commercial), and the paid Standard plan costs $8.80 a month after a $6.99 intro month, with 660 credits. The catch is the credit math: third-party testers report Kling 4.0 burns roughly 15 credits per second at 1080p, so one 30-second clip eats about 450 credits. Budget for retries, not just the clip you keep.


Veo has no real video-only plan — it rides inside Google's AI subscriptions. The free tier in the Gemini app is tightly capped, and Google AI Pro at $19.99 a month gets you roughly 10 full-quality Veo 3.1 clips a month (1,000 Flow credits, 100 per standard clip), at 720p with watermarks. Google's premium Ultra tier unlocks 1080p/4K, no watermark, and priority processing — but there's no standalone Veo subscription, so casual users pay for a whole Google bundle.


What each one is actually good at


Kling 4.0's headline trick is length: native 30-second clips in a single pass, double its predecessor, with up to 10 keyframes and an "Omni Reference" system that takes up to 15 reference images, videos, or audio clips to keep characters consistent. Prompt input stretches to 8,000 tokens. (Two caveats: the promised 10-bit HDR/4K output and 2-minute clip extension are announced but not live yet — that's the company's own telling.)


Veo 3.1's standout is sound. It's the only one of the two that generates synchronized dialogue, sound effects, and ambient audio natively — your characters actually talk. It tops out at 8 seconds per generation (you chain scenes for longer), outputs up to 4K, and slots straight into Google's Flow filmmaking tool, the Gemini app, and YouTube.


The honest weaknesses


Kling's credit economics punish experimentation — a few failed generations and your month is gone, and render queues can drag on cheaper plans at peak hours. Veo's 8-second cap means real storytelling takes chained generations (each billed), its free tier is a demo rather than a tool, and you're locked into Google's ecosystem and bundle pricing.


So which should you pay for?


Want the most video for the least money: Kling. The free tier is genuinely usable, Standard is under $9 a month, and 30-second native clips are unmatched for story-driven shorts. Need real dialogue and sound baked in: Veo 3.1 is the only choice — accept Google's $19.99 entry fee and the 8-second rhythm. Our
Runway vs Pika
breakdown covers the studio-vs-social angle too. Pick the job first, then pick the tool.







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