AI · head to head
Together AI vs Veritone

Veritone
AI
AI orchestration platform and applications for media archives, public safety evidence and advertising
- From
- On request
- Rated
- -
The short version
- Only Together AI has a free tier, so it costs nothing to try first.
- Each has a real cost: Together AI free tier limits not clearly specified in pricing documentation; Veritone nothing is publicly priced, and because consumption of the underlying AI engines is metered, the total cost of a large archive ingest is difficult to forecast before you have run one.
- They diverge on capability: Together AI covers Open-source models, Veritone covers aiWARE orchestration.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Together AI and Veritone actually diverge.
| Attribute | Together AI | Veritone |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | quote |
| Free tier | Yes | No |
| Platforms | Api, Cloud | Web, API, Self-hosted |
| Founded | 2022 | Unknown |
Identical on both: user rating (Not yet rated), category (AI).
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 Together AI
- Open-source models
- Fine-tuning
- Fast inference
- Embeddings
- REST API
- Python SDK
- OpenAI compatible
- Api support
Only in Veritone
- aiWARE orchestration
- iDEMS
- Automated redaction
- Media archive indexing
- FedRAMP authorisation
- Advertising and content intelligence
- Voice and synthetic media
- Self-hosted deployment
What people use each for
The jobs each tool is most often brought in to do.
Together AI
- LLM inference for production AI applicationsnot Veritone
- Content generation at scalenot Veritone
- Code execution and embeddingsnot Veritone
- Model fine-tuning and trainingnot Veritone
- Startup and enterprise AI deploymentnot Veritone
Veritone
- A police department buried in body camera footage that must be redacted before disclosure, where automated face and audio redaction converts weeks of manual work into review timenot Together AI
- A broadcaster or sports rights holder that cannot find footage in its own archive and loses licensing revenue because searching it costs more than the clip earnsnot Together AI
- A federal agency that needs AI processing inside an authorised boundary, where FedRAMP status decides the shortlist before capability doesnot Together AI
- A media buyer wanting attribution on broadcast and podcast advertising that digital analytics tools cannot seenot Together AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Together AI
- Free tier limits not clearly specified in pricing documentation
- Pricing varies significantly by model and use case
- Requires account setup for production access
- Batch API discounts apply only to non-urgent workloads
Veritone
- Nothing is publicly priced, and because consumption of the underlying AI engines is metered, the total cost of a large archive ingest is difficult to forecast before you have run one.
- The company is mid-restructure after divesting its media agency, with revenue guidance well below earlier expectations, so a buyer signing a multi-year evidence contract is taking corporate risk they can read in the public filings but cannot control.
- The orchestration proposition means Veritone sits between you and the model vendors, so when a specific engine underperforms on your content the remedy is a support case rather than switching provider yourself.
- The product portfolio spans law enforcement, broadcast, advertising and synthetic voice, which is a wide surface for one engineering organisation and means attention to any single application depends on where the revenue growth currently is.
- Automated redaction is a review aid, not a guarantee: an agency remains legally responsible for what is disclosed, so the staff time saved is smaller than the demonstration implies once verification is included.
Pricing, plan by plan
Together AI
Free- Serverless Inference$0.03/1M input tokens
- Chat and Vision models
- Image generation
- Video generation
- Provisioned Throughput$21600/month
- Up to 83% savings vs commercial alternatives
- Reserved capacity
- Guaranteed throughput
- Dedicated Inference$5.49/hour
- H100 GPU instance
- Single-tenant deployment
- No resource sharing
- GPU Clusters$3.99/GPU-hour
- On-demand capacity
- Volume discounts available
- Reserved options with up to 35% savings
Veritone
On request- aiWARE platform$undefined/year
- Consumption-based use of the AI engine catalogue
- Enterprise licence, quoted
- Self-hosted and FedRAMP deployment options
- iDEMS$undefined/year
- Digital evidence management for law enforcement
- Automated redaction and disclosure workflow
- Quoted per agency, commonly on government contract vehicles
- Media and entertainment applications$undefined/year
- Archive indexing, monetisation and advertising intelligence
- Quoted
Which should you pick?
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.
Choose Veritone if
- You need aiware orchestration.
- You work on Web, API, Self-hosted.
- You also want idems.
Questions people ask
- Is Together AI or Veritone better?
- Neither clearly leads. Together AI starts at Free and Veritone at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Together AI or Veritone?
- Together AI has a free tier; the other does not. Paid plans start at Free for Together AI and On request for Veritone.
- Does Together AI or Veritone run on more platforms?
- Together AI runs on Api, Cloud. Veritone runs on Web, API, Self-hosted.
- Can I use Together AI for free?
- Yes. Together AI has a free tier, so you can try it without paying. Veritone starts at On request.
- What is Together AI best used for?
- Together AI is most often used for llm inference for production ai applications, content generation at scale, code execution and embeddings, model fine-tuning and training. Of those, llm inference for production ai applications and content generation at scale are not what Veritone is typically brought in for.
- What can Together AI do that Veritone cannot?
- Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings. Veritone covers aiWARE orchestration, iDEMS, Automated redaction, Media archive indexing.
Answered from the vendors’ own pages
Together AI: Does Together AI offer a free tier?
Yes, Together AI advertises 'Start for free, scale on demand,' but specific free tier usage limits are not detailed on the pricing page.
SourceVeritone: What do you actually buy from Veritone?
An application, most often iDEMS for digital evidence or a media archive product. aiWARE is the platform underneath, and it is rarely purchased on its own outside enterprise and government deals.
Together AI: What are Together AI's highest model prices?
Serverless inference pricing ranges from free for base models up to $4.40 per 1M input tokens for premium models. Video generation costs $0.14 to $3.20 per video depending on resolution.
SourceVeritone: Is pricing published?
No. Everything is quoted, and platform use is metered by consumption of the underlying AI engines, which makes forecasting a large ingest difficult.
Together AI: How much can I save with Provisioned Throughput?
Together AI offers up to 83% savings compared to commercial alternatives when using their Provisioned Throughput option with reserved capacity.
SourceVeritone: Is it approved for US government use?
aiWARE holds FedRAMP authorisation and can be deployed into self-hosted government tenants, which is frequently the reason it reaches a public sector shortlist.
Together AI: What is Together AI's fine-tuning pricing?
Standard fine-tuning costs $0.48 to $2.90 per 1M tokens depending on model size, with a minimum charge of $4.00 per job.
SourceVeritone: Did Veritone sell its advertising agency?
Yes. Veritone One was divested in 2024 for up to $104 million, and the remaining company is focused on enterprise AI software and licensing.
Related pages
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