Cloud & Infrastructure · head to head
Fireworks AI vs Together AI

Fireworks AI
Cloud & Infrastructure
Fast inference and fine-tuning platform for open and custom AI models
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Fireworks AI reserved and enterprise-tier pricing is not published and requires sales contact.; Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
- They diverge on capability: Fireworks AI covers Serverless inference, Together AI covers Open-source models.
Where they differ
Only the attributes on which Fireworks AI and Together AI actually diverge.
| Attribute | Fireworks AI | Together AI |
|---|---|---|
| Platforms | web, api | Api, Cloud |
| Category | Cloud & Infrastructure | AI Tools |
| Founded | Unknown | 2022 |
Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Fireworks AI
- Serverless inference
- On-demand and reserved deployments
- Managed fine-tuning
- OpenAI/Anthropic API compatibility
- Nexus router
- Long context models
Only in Together AI
- Open-source models
- Fine-tuning
- Fast inference
- Embeddings
- REST API
- Python SDK
- OpenAI compatible
- Api support
What people use each for
The jobs each tool is most often brought in to do.
Fireworks AI
- Deploying open-source LLMs behind an OpenAI-compatible APInot Together AI
- Fine-tuning models with LoRA or full-parameter trainingnot Together AI
- Routing AI coding assistant traffic to cheaper models via Nexusnot Together AI
- Reserving dedicated GPU capacity for production trafficnot Together AI
Together AI
- Serverless inference against open source chat, vision, embedding, image and video modelsnot Fireworks AI
- Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot Fireworks AI
- Fine tuning open weight models on a per token basisnot Fireworks AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Fireworks AI
- Reserved and enterprise-tier pricing is not published and requires sales contact.
- Model catalog is curated to ~30 models, smaller than DeepInfra's 100+ model library.
- On-demand GPU rates are scheduled to increase from September 1, adding cost unpredictability for locked-in workloads.
Together AI
- Fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
- Reserved GPU commitments beyond 180 days are priced by contacting sales with no published rate
- Volume and enterprise discounts are quote only with no published threshold
- Reserved dedicated inference pricing is contact sales while only on demand rates of $5.49 to $8.99 per GPU hour are published
Pricing, plan by plan
Fireworks AI
Free- Serverless$undefined/mo
- Pay-per-token from $0.07 to $1.74 per million input tokens
- $1 free credit to start
- On-Demand$7/month
- Dedicated GPU instances from $7/hour for H100/H200
- Reserved$undefined/mo
- Guaranteed capacity and priority hardware access
- Custom pricing
Together AI
Free- FreeFree
- $5 credits
- API access
- Pay-per-use$0.2/per-million-tokens
- All models
- Fine-tuning
Which should you pick?
Choose Fireworks AI if
- You need serverless inference.
- You want to start without paying.
- You work on web, api.
- You also want on-demand and reserved deployments.
Choose Together AI if
- You need open-source models.
- You want to start without paying.
- You work on Api, Cloud.
- You also want fine-tuning.
Questions people ask
- Is Fireworks AI or Together AI better?
- Neither clearly leads. Fireworks AI starts at Free and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Fireworks AI or Together AI?
- Fireworks AI starts at Free and Together AI at Free.
- Does Fireworks AI or Together AI run on more platforms?
- Fireworks AI runs on web, api. Together AI runs on Api, Cloud.
- Can I use Fireworks AI for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Fireworks AI best used for?
- Fireworks AI is most often used for deploying open-source llms behind an openai-compatible api, fine-tuning models with lora or full-parameter training, routing ai coding assistant traffic to cheaper models via nexus, reserving dedicated gpu capacity for production traffic. Of those, deploying open-source llms behind an openai-compatible api and fine-tuning models with lora or full-parameter training are not what Together AI is typically brought in for.
- What can Fireworks AI do that Together AI cannot?
- Fireworks AI covers Serverless inference, On-demand and reserved deployments, Managed fine-tuning, OpenAI/Anthropic API compatibility. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Answered from the vendors’ own pages
Fireworks AI: How is Fireworks AI billing calculated?
Serverless inference uses postpaid, pay-per-token billing across Standard, Priority, and Fast tiers, with rates from $0.07 to $1.74 per million tokens depending on model.
SourceFireworks AI: Is there a free tier or trial credit?
New accounts receive $1 in free credit to try serverless inference before adding a payment method.
SourceFireworks AI: How much do on-demand GPU deployments cost?
Dedicated on-demand instances range from $7-8/hour for H100/H200 GPUs up to $18-20/hour for GB300, billed per GPU second with no start-up surcharge.
SourceFireworks AI: How is fine-tuning priced?
Managed training is billed per 1 million training tokens for supervised or preference tuning, while reinforcement tuning is billed per GPU hour.
SourceFireworks AI: Does region selection affect pricing?
Yes, region-restricted on-demand deployments carry a 1.5x premium over standard regional pricing.
SourceRelated pages
More on Fireworks AI
More on Together AI
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- Together AI vs Lambda (AWS Serverless)
- Together AI vs Anyscale
- Together AI vs DeepInfra
- Together AI vs Deno Deploy
- Together AI vs Heroku
- Together AI vs Hetzner Cloud
- Together AI vs Linode
- Together AI vs Packer
- Together AI vs Pulumi
- Together AI vs Render
- Together AI vs Upstash
- Together AI vs Vagrant
- Together AI vs Vultr
- Together AI vs Akamai
- Together AI vs Pika
- Together AI vs Anthropic API
- Together AI vs D-ID
- Together AI vs Fathom
- Together AI vs Stable Diffusion
- Together AI vs Perplexity
- Together AI vs Arize AI
- Together AI vs Black Forest Labs
- Together AI vs Cartesia
- Together AI vs Deepgram
- Together AI vs Helicone
- Together AI vs Ideogram
- Together AI vs Jasper
- Together AI vs PromptLayer
- Together AI vs Resemble AI
- Together AI vs AI21 Labs
- Together AI vs Copy.ai
- Together AI vs HeyGen

