DeepInfra alternatives

Why people look for an alternative to DeepInfra

• Video model support is limited, so anything generating video needs a second provider on a second bill.
• They publish their own rate only. Working out what the markup is against the model publisher's official price is left to you.
• Spending controls are account-level. There is no per-key cap, which is the control you need when one account serves several clients or several environments.
• The time to add a newly released open-weight model varies, so a team that adopts new weights early can be waiting.

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 If something here is out of date, tell us and we’ll correct it — including in a competitor’s favour.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

   Novita AI

   Best for: The video gap, which is the most common reason for the move. Novita carries 200+ models spanning text, image, audio, video and vision, and bills Kling v3.0 on actual output length at $0.084–$0.168 per second — genuinely better video billing than ours.

   Trade-off: Their homepage and pricing page disagree on DeepSeek V4 Pro ($1.74/$3.48 against $1.60/$3.20), and their headline saving claim is unsourced and not broken out per model. Six product surfaces share one account, and per-token serverless billing sits alongside hourly GPU products on the same invoice.

   AI Token Router vs Novita AI, side by side

2. 2

   AI Token Router

   That’s us

   Best for: The transparency and cost-control reasons. Every row prints our rate next to the model's official rate, cached input has its own column, spending caps exist per account and per key at signup, and we add newly released models within 24 hours of the weights dropping.

   Trade-off: Our catalogue is smaller — 24 models listed, seven callable today — against DeepInfra's broader open-model coverage, and we bill every video clip at a fixed five-second duration during rollout rather than on actual length. Check our number against theirs model by model before moving; on a text-only workload the move may not pay for itself.

3. 3

   Replicate

   Best for: Video and image breadth specifically. Replicate has the deepest open-weight image and video catalogue on this list, thousands of community-contributed models, new releases appearing within days, and Cog for deploying your own weights behind the same API.

   Trade-off: Many models bill by GPU-seconds of runtime ($0.000025–$0.0112/sec), so a cold start or a slow prompt costs more for identical output. Their prediction API is its own shape rather than OpenAI-compatible, which means rewriting call sites, 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

4. 4

   SiliconFlow

   Best for: A published rate card across all four modalities, with cached-input pricing per model, plus the most complete Chinese open-weight coverage outside China — 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.

   Trade-off: Unrounded figures like $1.50162 and $1.302 indicate a rate card converted from CNY, so your unit cost moves with the exchange rate. Video is a flat $0.29 per video regardless of length or resolution, and a Beijing-headquartered vendor may be a procurement conversation you would rather not have.

   AI Token Router vs SiliconFlow, side by side

Where the rates land, model by model

Only the models we can serve today and DeepInfra carries as well. Our claim is that we price below the model publisher’s official rate — not that we are the cheapest anywhere — so where a provider comes in under us on a model, that row says so.

Rates exclude cached input, which is published per model on the pricing page and dominates any workload with a repeated prefix. This table covers our servable catalogue only — the other providers on this page carry models we do not, at rates we have not verified per model and therefore do not print.

What actually changes in your code

For any of the OpenAI-compatible destinations here this is a base URL, an API key and a model id — the SDK, the request bodies and the streaming handling are unchanged. Replicate is the exception: its prediction API has its own request and response shape, so moving there means rewriting call sites rather than repointing them. If you are moving because of video, expect to keep a text provider as well; nothing here is unambiguously best at both.

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

Questions

Is anything actually cheaper than DeepInfra?

On open text models they are frequently the lowest published rate, so the honest answer is: check model by model rather than assuming. On the models we both carry we are below them on the published rate, but our catalogue is much narrower, so the comparison only holds for the models we actually serve.

Which DeepInfra alternative supports video generation?

Novita AI and Replicate both do, and both bill on actual output length — Novita at $0.084–$0.168 per second for Kling v3.0, Replicate at $0.09/sec for Wan 2.1 at 480p and $0.25/sec at 720p. SiliconFlow charges a flat $0.29 per video regardless of length or resolution. We publish per-second rates but bill at a fixed five-second duration during rollout.

I need per-client spending caps. What are my options?

We provide spending caps per account and per key at signup, which is the control an agency or a multi-tenant product actually needs. SiliconFlow offers optional monthly spending limits on a pay-as-you-go account. DeepInfra's controls are account-level.

How do I know what markup I am paying?

On most providers you work it out yourself, because they publish their own rate and nothing else. We print the model publisher's official rate next to ours on every row for exactly that reason. It is not a claim to be the cheapest — where a rival is lower on a model, that stays visible too.