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DeepInfra vs Together AI

DeepInfra logo

DeepInfra

Software

Low-cost cloud API for running open-source AI models

From
$0.08/month
Rated
-
Full reviewWebsite
Together AI logo

Together AI

Software

Open-source AI at scale

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Together AI has a free tier, so it costs nothing to try first.
  • Each has a real cost: DeepInfra focuses on inference hosting rather than fine-tuning or full training pipelines that competitors like Fireworks AI offer.; Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
  • They diverge on capability: DeepInfra covers Open model hosting, Together AI covers Open-source models.

Where they differ

Only the attributes on which DeepInfra and Together AI actually diverge.

Attributes where DeepInfra and Together AI differ
AttributeDeepInfraTogether AI
Starting price$0.08/monthFree
Free tierNoYes
Platformsweb, apiApi, Cloud
FoundedUnknown2022

Identical on both: pricing model (usage-based), user rating (Not yet rated), category (Unknown).

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 DeepInfra

  • Open model hosting
  • Pay-per-token pricing
  • Long context support
  • DeepCluster
  • Zero retention policy
  • Real-time metrics

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.

DeepInfra

  • Running open-source LLM inference without managing GPUsnot Together AI
  • Serving speech and image generation models via APInot Together AI
  • Cost-sensitive production inference at scalenot Together AI
  • Reserved GPU capacity via DeepCluster for steady workloadsnot Together AI

Together AI

  • Serverless inference against open source chat, vision, embedding, image and video modelsnot DeepInfra
  • Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot DeepInfra
  • Fine tuning open weight models on a per token basisnot DeepInfra

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DeepInfra

  • Focuses on inference hosting rather than fine-tuning or full training pipelines that competitors like Fireworks AI offer.
  • Model selection is limited to what DeepInfra chooses to host, unlike self-managed platforms.
  • No published free tier; usage is billed from the first token.

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

DeepInfra

$0.08/month
  • Pay-as-you-go$undefined/mo
    • Per-model token pricing from $0.08 to $2.85 per million input tokens
    • No long-term contract
  • DeepCluster$1.98/month
    • Dedicated NVIDIA B300 GPU clusters at $1.98/GPU-hour

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 DeepInfra if

  • You need open model hosting.
  • You work on web, api.
  • You also want pay-per-token pricing.
DeepInfra review

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.
Together AI review

Questions people ask

Is DeepInfra or Together AI better?
Neither clearly leads. DeepInfra starts at $0.08/month and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DeepInfra or Together AI?
Together AI has a free tier; the other does not. Paid plans start at $0.08/month for DeepInfra and Free for Together AI.
Does DeepInfra or Together AI run on more platforms?
DeepInfra runs on web, api. Together AI runs on Api, Cloud.
Can I use Together AI for free?
Yes. Together AI has a free tier, so you can try it without paying. DeepInfra starts at $0.08/month.
What is DeepInfra best used for?
DeepInfra is most often used for running open-source llm inference without managing gpus, serving speech and image generation models via api, cost-sensitive production inference at scale, reserved gpu capacity via deepcluster for steady workloads. Of those, running open-source llm inference without managing gpus and serving speech and image generation models via api are not what Together AI is typically brought in for.
What can DeepInfra do that Together AI cannot?
DeepInfra covers Open model hosting, Pay-per-token pricing, Long context support, DeepCluster. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

Answered from the vendors’ own pages

DeepInfra: Is there a free tier on DeepInfra?

No free tier is published; usage is billed pay-as-you-go from the first token, though a credit card or pre-payment is required before you can send requests.

Source
DeepInfra: How is usage priced?

Language models are billed per million input/output tokens, other models by inference execution time, and audio models per minute of audio processed, with no minimum commitment.

Source
DeepInfra: What are the Standard, Priority, and Flex tiers?

Standard is default best-effort pricing at 1x, Priority costs 1.5x for faster time-to-first-token during peak demand, and Flex costs 0.8x for non-production or asynchronous workloads.

Source
DeepInfra: How does billing scale with spend?

Accounts advance through usage tiers as cumulative payments cross $20, $100, $500, $2,000, and $10,000 thresholds, with invoices generated monthly or at each threshold.

Source
DeepInfra: Is there a limit on concurrent requests?

Yes, accounts are limited to 200 concurrent requests by default, though spending limits can also be configured to prevent unexpected charges.

Source
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