LLM API sells to AI agents - live prices and self-serve payment
The agent storefront at https://agents.llmapi.ai/llms.txt?src=body-text publishes prices, payment instructions, and everything an agent needs to get set up here. Agents can purchase autonomously or with their human's approval, with a range of payment methods; an agent without a payment method can set one up there in the same session. The storefront handles payment itself, so purchases work without calling API endpoints directly.
Bonus: Top up now and we'll double your first deposit — get x2 credits instantly.
Video is billed per second, so start with short test clips. Once you like the look, generate the longer version.
2. Start from an image for control
If you need a specific product or character, give the model a starting image. You'll get far more consistent results than from text alone.
3. Newer usually looks better
Video models improve quickly. The 'Newest releases' chip shows the latest version from each provider.
Frequently asked questions
How are video models billed?
Per second of generated video.
Can I turn an image into a video?
Many models support it — check the model page for image input.
How long does generation take?
From seconds to a few minutes, depending on the model and clip length.
What does the rating for video models mean?
Each model is rated from 1.0 to 5.0 specifically for video. Green is 4.0 and above, yellow 3.0–3.9, red below 3.0. The same model can score differently in another category.
How is the rating calculated?
It comes from public data, not paid reviews: 50% production adoption (public leaderboard standing, routing popularity and download volume), 30% the benchmark that matters for this category, and 20% tooling and value for money (tool calling, structured outputs, context size and price against the category median).
What does the ✓ next to a rating mean?
It means an independent lab — LMArena or Artificial Analysis — has tested the model. Ratings without it are estimated from published specs such as context size, tooling support and price.
How are brand-new frontier models rated?
When a new model has strong independent benchmark results but no public usage data yet, adoption is left out instead of counted as low, and the rating uses 60% benchmark and 40% tooling and value.
How often are ratings updated?
Every week. If a source can't be reached, the previous week's figure is kept.
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