OpenRouter alternatives

Why people look for an alternative to OpenRouter

• A platform fee of roughly 5.5% is applied to credit purchases made by non-crypto methods, on top of whatever the underlying model costs.
• OpenRouter documents ~25–40ms of routing overhead per request, which is the price of the abstraction it provides.
• Cached-input pricing varies by upstream provider and is not surfaced uniformly, so on a repeated-prefix workload the largest line item is the hardest one to forecast.
• There are no video generation models in the catalogue, so a stack that generates video needs a second vendor regardless.

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 If something here is out of date, tell us and we’ll correct it — including in a competitor’s favour.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

   AI Token Router

   That’s us

   Best for: Leaving because of the credit-purchase fee or the cached-input opacity. We charge no platform fee, and the cached-input rate is a column on every pricing row rather than something that depends on which upstream served you.

   Trade-off: Seven models callable today out of 24 catalogued, all open-weight. No GPT, Claude or Gemini, and one provider per model rather than multi-provider failover — if your architecture depends on failing over when an upstream degrades, we do not offer that.

2. 2

   Groq

   Best for: Leaving because of the routing hop. Groq's speed comes from custom LPU silicon rather than a scheduling optimisation, at 500–1000 tokens/sec on their published models, and they ship Compound and Compound Mini with web search and code execution built in.

   Trade-off: groq.com publishes no rate card. Rates for some models live in the console docs, and the flagship Llama models are marked "Enterprise pricing" with no public number, so you cannot price a workload before talking to someone. The production list is narrow: text models plus Whisper, with no image or video models.

   AI Token Router vs Groq, side by side

3. 3

   DeepInfra

   Best for: Leaving purely on per-token cost for text. DeepInfra runs its own GPU fleet and is frequently the lowest published rate on open text models, across a broader open-model catalogue than ours.

   Trade-off: They publish their own rate only, so any comparison against the model's official price is work you do yourself. Video support is limited, 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

   Novita AI

   Best for: Leaving the fee but not the breadth. Novita carries 200+ models across text, image, audio, video and vision, publishes no platform fee, and bills Kling v3.0 video on actual output length at $0.084–$0.168 per second.

   Trade-off: Their homepage and pricing page disagree on DeepSeek V4 Pro ($1.74/$3.48 against $1.60/$3.20), and the headline saving claim is not broken out per model. There are six product surfaces on one account — serverless, dedicated endpoints, agent sandbox, GPU instances, serverless GPU and bare metal — which is more to learn than a single serverless API.

   AI Token Router vs Novita AI, side by side

Where the rates land, model by model

Only the models we can serve today and OpenRouter 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

Moving to any OpenAI-compatible endpoint is a base URL, a key and a model id. Point base_url at the new provider, swap the API key, and change the model string — our ids are namespaced provider/model-name, and the bare name is accepted too. What does not carry over is anything OpenRouter-specific: provider preference and fallback ordering have no equivalent on a single-provider endpoint, so remove those fields rather than translating them. Budget an afternoon to re-check streaming and tool-call handling against the new endpoint before you move production traffic.

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

Questions

Is there an OpenRouter alternative with no platform fee?

Several. We charge no platform fee and no minimum spend, and Novita AI, Replicate and Fireworks AI all publish none either. OpenRouter's ~5.5% applies to credit purchases made by non-crypto methods, so if you are comparing totals, apply it to the credit purchase rather than to each request.

Which alternative is fastest?

Groq, and not by a small margin — 500–1000 tokens/sec on their published models, from custom LPU silicon rather than tuning. The trade-off is that groq.com publishes no rate card and their flagship Llama models carry no public price at all, so speed comes before cost certainty rather than alongside it.

Can I get closed models like GPT-4 or Claude elsewhere on this list?

No. Every provider surveyed here serves open-weight models. If closed frontier models are part of your workload, OpenRouter is doing something for you that none of these alternatives do, and the honest answer is to stay or to run two providers.

What about video generation?

OpenRouter carries no video models. Among the alternatives here, Novita AI and Replicate both bill video 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. We publish per-second rates but bill every clip at a fixed five-second duration during rollout, which is worse than either of them for short clips.