Fireworks AI alternatives

Why people look for an alternative to Fireworks AI

• The commercial pricing page carries no serverless rates. Pricing a request means opening the docs and reading across the Standard, Priority and Fast tiers.
• Billing is postpaid — usage accrues and is invoiced after the fact, so a runaway job is discovered on the invoice rather than stopped at a ceiling.
• The serverless catalogue is text and vision only. There are no image, audio or video endpoints, so any multimodal stack carries a second vendor.

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 If something here is out of date, tell us and we’ll correct it — including in a competitor’s favour.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: All three reasons at once. Every rate is on a public page with the model's official rate beside it, prepaid credits mean the balance is a hard ceiling that returns 429 insufficient_credits rather than continuing to spend, and images and video run on the same key and the same balance through an OpenAI-compatible surface across all seven endpoints.

   Trade-off: We have one serving tier and no latency choice, a much smaller catalogue — 24 listed, seven callable — no fine-tuning, and no Azure distribution. If you are on Fireworks because tokens-per-second is the number your product lives on, we are a downgrade, not an alternative.

2. 2

   Groq

   Best for: Leaving Fireworks but keeping the speed. Groq's 500–1000 tokens/sec comes from custom LPU silicon rather than a tuning pass, which means it holds under load, and Compound and Compound Mini ship with web search and code execution built in. They also serve Whisper Large V3 and V3 Turbo for speech-to-text, billed per hour of audio.

   Trade-off: This makes the pricing problem worse, not better: groq.com publishes no rate card, rates for some models live in console docs, and the flagship Llama models are marked "Enterprise pricing" with no public number. The production list is narrow, with no image and no video models.

   AI Token Router vs Groq, side by side

3. 3

   SiliconFlow

   Best for: Wanting a complete rate card and all four modalities in one place. SiliconFlow publishes rates per model including cached input, carries 200+ optimised LLMs and multimodal models across text, image, video and audio, offers $1 in free credits with no minimum commitment, and has the most complete Chinese open-weight coverage outside China.

   Trade-off: Their unrounded prices ($1.50162, $1.302) indicate a rate card converted from CNY, so unit cost drifts with the exchange rate. Billing is pay-as-you-go with optional monthly limits rather than a hard prepaid ceiling, and a Beijing-headquartered vendor may raise a procurement question.

   AI Token Router vs SiliconFlow, side by side

4. 4

   Together AI

   Best for: Keeping the training story. Together fine-tunes and serves on one platform, sells dedicated GPU clusters rather than shared inference, and has an established enterprise reference list — the safer answer when procurement weights vendor track record heavily.

   Trade-off: Per-token rates sit above DeepInfra on most models, video support is limited, and the time to availability for newly released open weights varies by model. This solves the platform question, not the pricing-transparency one.

   AI Token Router vs Together AI, side by side

What actually changes in your code

Fireworks exposes OpenAI-shaped text endpoints, so moving to another OpenAI-compatible provider is a base URL, a key and a model id. Two things need real attention. First, if you route by latency tier, that concept does not exist on a single-tier endpoint — remove the tier selection rather than mapping it, and re-measure latency before you assume the new provider is fast enough. Second, moving from postpaid to prepaid changes your failure mode: instead of an unexpected invoice you get a 429 when the balance runs out, so add balance monitoring before the cutover rather than after the first outage.

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

Questions

Which Fireworks alternative publishes its serverless rates openly?

We publish every rate on a public page with the model's official rate beside it. SiliconFlow publishes a complete rate card including cached-input pricing per model. Novita AI and DeepInfra publish their own rates as well. Groq is the one to avoid if this is your reason: they publish no rate card, and flagship Llama models carry no public number at all.

Is there an alternative with prepaid rather than postpaid billing?

Ours is prepaid: the credit balance is a hard ceiling and exhaustion returns 429 insufficient_credits rather than continuing to accrue. SiliconFlow is pay-as-you-go with optional monthly spending limits, which is a softer version of the same control. Replicate bills metered runtime after the fact, like Fireworks.

What about image and video, which Fireworks serverless does not cover?

We serve /v1/images/generations and /v1/video/generations on the same key, with video billed at a fixed five-second duration during rollout. Novita AI and Replicate both bill video on actual output length, which is better than our fixed duration for short clips. SiliconFlow prices all four modalities, at a flat $0.29 per video.

Does anything match Fireworks on latency?

Groq, on architecture rather than tuning — 500–1000 tokens/sec from custom LPU silicon. Nothing else on this list competes on that axis, and we make no claim to: we run one serving tier with no latency choice.