Novita AI alternatives

Why people look for an alternative to Novita AI

• Their homepage and pricing page disagree on DeepSeek V4 Pro — $1.74/$3.48 on one, $1.60/$3.20 on the other — so the rate you will actually be billed depends on which page you read.
• The "up to 50% less than major cloud providers" claim is unsourced and not broken out per model, so the saving cannot be checked against any particular workload.
• Six product surfaces share one account — serverless, dedicated endpoints, agent sandbox, GPU instances, serverless GPU and bare metal — with per-token serverless billing sitting alongside hourly GPU products on the same invoice.

Every figure attributed to a provider on this page is that provider’s own published information as of September 2026. Where a provider publishes no number, this page says so rather than estimating one. If something here is out of date, tell us and we’ll correct it — including in a competitor’s favour.

The alternatives, in order of fit

Ordered against the reasons above rather than by preference. Each one carries what it costs you, because an option listed without a trade-off is a recommendation wearing a survey’s clothes.

1. 1

   SiliconFlow

   Best for: The closest like-for-like: one complete published rate card, cached-input pricing per model, 200+ optimised LLMs and multimodal models across text, image, video and audio, and the same Chinese open-weight lineup — DeepSeek, Qwen, GLM, Kimi and MiniMax all first-class and all priced publicly, with GLM-5 at $0.95/$2.55 and Kimi-K2.5 at $0.45/$2.25 per 1M. $1 in free credits, no minimum commitment.

   Trade-off: Unrounded figures like $1.50162 and $1.302 indicate a rate card converted from CNY, so the unit cost moves with the exchange rate — a different kind of price uncertainty rather than none. Video is a flat $0.29 per video regardless of length or resolution, and billing is pay-as-you-go with optional monthly limits rather than a hard ceiling.

   AI Token Router vs SiliconFlow, side by side

2. 2

   AI Token Router

   That’s us

   Best for: One number per model from one source, with the model's official rate printed beside it so the saving is stated rather than implied. One product surface — prepaid credits, one key, seven OpenAI-compatible endpoints — and a balance that is a hard ceiling rather than a running tab.

   Trade-off: 24 catalogued models against their 200+, with seven callable today. We bill every video clip at a fixed five-second duration during rollout where Novita bills Kling v3.0 on actual output length, and on small models their rates are at the market floor — Llama 3.1 8B at $0.02/$0.05 per 1M is very hard to beat. We also have no answer at all when serverless stops being enough: no sandboxes, no GPU instances, no bare metal.

3. 3

   DeepInfra

   Best for: Staying at the price floor without the product sprawl. DeepInfra runs its own GPU fleet and is frequently the lowest published rate on open text models, across a broad open-model catalogue.

   Trade-off: Video support is limited, which is a real loss coming from a provider that covers five modalities. They publish their own rate only, spending controls are account-level rather than per key, and the time to add a newly released model varies.

   AI Token Router vs DeepInfra, side by side

4. 4

   Replicate

   Best for: Keeping the long tail. Thousands of community-contributed models, the deepest open-weight image and video catalogue on this list, new releases runnable within days, Cog for your own weights, and Wan 2.1 billed on actual output length at $0.09/sec (480p) and $0.25/sec (720p).

   Trade-off: Many models bill by GPU-seconds of runtime ($0.000025–$0.0112/sec), so identical requests cost different amounts. The prediction API is its own shape rather than OpenAI-compatible, and text pricing is not competitive — DeepSeek-R1 is listed at $3.75 per 1M input tokens.

   AI Token Router vs Replicate, side by side

What actually changes in your code

The serverless half moves like any OpenAI-compatible migration: base URL, key, model id. What does not move is everything else on the account. Dedicated endpoints, agent sandboxes, GPU instances and bare metal have no equivalent on a token-only API, so inventory what you are actually using before you plan a cutover — a migration that quietly strands a GPU instance is worse than staying. If video is part of the workload, check the billing unit rather than the rate: actual-length billing and fixed-duration billing produce very different totals for short clips even at similar per-second numbers.

The step-by-step version lives in the migration guide.

Questions

Which Novita alternative has a comparable model count?

SiliconFlow, with 200+ optimised LLMs and multimodal models across text, image, video and audio, and Replicate, with thousands of community-contributed models. Our catalogue is 24 with seven callable today — narrower by design, and the wrong answer if breadth is why you were there.

How do I get a rate I can rely on?

Look for one published source per model. We print one rate per model with the model publisher's official rate beside it, from one page. SiliconFlow publishes a complete rate card including cached input. That is not the same as being cheapest — where a rival is lower on a model, it stays lower.

What about video billing?

Novita's per-second billing on actual output length for Kling v3.0, at $0.084–$0.168 per second, is better than our fixed five-second duration for short clips, and Replicate bills Wan 2.1 the same way at $0.09/sec (480p) and $0.25/sec (720p). SiliconFlow charges a flat $0.29 per video regardless of length or resolution. If short clips are most of your usage, this is a reason to stay put.

Can I keep GPU instances and move only inference?

You can, but you will be running two vendors and two bills. Hyperbolic sells on-demand H100 / H200 / B200 with no quota limits if you want the GPU half elsewhere as well — though note their pricing and inference pages both return 404 and no per-token rate card is published on their domain.