kitio.aiBeam vs Synexa AI
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Beam starts at See pricing page and Synexa AI starts at See pricing page. Check both pricing pages for current plans.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Serverless GPU functions
- Fast cold starts
- Code sandboxes
- Open-source runtime
- Per-second billing
- 100+ hosted models
- Single prediction API
- Per-second GPU billing
- Auto-scaling to zero
- Python and JavaScript SDKs
- Fine-tuning
| Feature | Beam | Synexa AI |
|---|---|---|
| Best for | Serverless GPUs and sandboxes for AI inference and agents | Serverless API for running image, video and speech models |
| Category | Models & APIs | Models & APIs |
| Pricing model | Freemium | Paid |
| Starting price | See pricing page | See pricing page |
| Free plan | Yes | No |
| Made by | Beam | Synexa AI |
| Based in | United States | – |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Beam starts at See pricing page and Synexa AI starts at See pricing page. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
5 plans
Virtual Machines
From $0.0306 / hr
- 1 vCPU, 1 GiB RAM base
- 50 GiB root disk included
Sandboxes
From $0.319 / hr
- Isolated environments for untrusted code
- Billed by the millisecond
Serverless GPU
From $0.000192 / sec
- RTX 4090, 5090, H100 and more
- Pay only while code runs
On-demand GPUs
H100 from $1.83 / hr
- Flat price per machine
- vCPU, RAM and NVMe included
Clusters
Contact sales
- Multi-node GPU with InfiniBand
- Reserved monthly or yearly
5 plans
RTX 3090
$0.43 / GPU hour
- 24GB GPU memory
- Billed per second
RTX 4090
$0.69 / GPU hour
- 24GB GPU memory
- Billed per second
A6000
$1.49 / GPU hour
- 48GB GPU memory
- Billed per second
A100 80GB
$2.49 / GPU hour
- 80GB GPU memory
- Billed per second
H100
$2.99 / GPU hour
- 80GB GPU memory
- Billed per second
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Beam
- Quick container start times
- Self-hostable runtime
- Simple Python API
- Smaller company than rivals
- Python-focused
- Fewer GPU regions
Synexa AI
- Low per-hour GPU rates
- Popular models with no setup
- Pay only while running
- Costs vary with model run time
- Smaller ecosystem than Replicate
- No free plan listed
Which one should you choose?
Choose Beam if you want:
- Quick container start times
- Self-hostable runtime
- Simple Python API
Watch out: smaller company than rivals.
Choose Synexa AI if you want:
- Low per-hour GPU rates
- Popular models with no setup
- Pay only while running
Watch out: costs vary with model run time.
Beam vs Synexa AI FAQ
What is the difference between Beam and Synexa AI?
Beam: Serverless GPUs and sandboxes for AI inference and agents. Synexa AI: Serverless API for running image, video and speech models. Both are models & apis tools.
Is Beam or Synexa AI cheaper?
Beam starts at See pricing page and Synexa AI starts at See pricing page. Check both pricing pages for current plans.
Do Beam and Synexa AI have free plans?
Beam: Yes. Synexa AI: No.
Who makes Beam?
Beam is made by Beam, based in United States.
Who makes Synexa AI?
Synexa AI is made by Synexa AI.
Which should I choose, Beam or Synexa AI?
Choose Beam if you value quick container start times and self-hostable runtime. Choose Synexa AI if you value low per-hour gpu rates and popular models with no setup.