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DeepInfra vs Novita AI

SEPT 2026 audit

A comparison of DeepInfra and Novita AI built from values read directly from each provider's own documentation, with the source recorded against every figure.

Reviewed by Palash BagchiUpdated 24 criteria comparedSources last checked

The short answer

Choose DeepInfra if…

Running open-weight models at the lowest published per-token rates here — DeepSeek-V4-Flash at $0.06 per million input is a fraction of what the lab itself charges — with dedicated H100s at $2.20 an hour if throughput demands it.

Editorial · Palash Bagchi · approved

Choose Novita AI if…

Breadth — 200+ models under one API with a cache-read rate published next to most of them, and an H100 SXM at $3.39 an hour if the same vendor should run the dedicated side too.

Editorial · Palash Bagchi · approved

Consider something else if…

  • DeepInfra: Only some models carry per-token pricing; the rest bill for inference execution time, which is a different and harder thing to forecast.
  • Novita AI: It is rarely the cheapest for any given model: DeepInfra serves DeepSeek-V4-Flash-0731 at $0.06 against Novita's $0.44, and its H100 is $2.20 against Novita's $3.39 on demand.

20 sourced criteria separate them — see where, with sources, below.

No affiliate links, sponsored placements or paid rankings appear on this site. Ordering follows the sourced data and the stated criteria.

01.

At a glance.

CriterionDeepInfraNovita AI
Pricing
Free tier
No
Yes — Three inclusionAI Ling 3.0 Flash variants are listed at $0 input and $0 output; all other models are paid per token.
Kind of free offerNo free offerFree tier
Entry paid planNo minimum spend and no seat fees - billing is pay-per-token usage only, with no charge for idle GPU time.No plan fee — credit is prepaid, and a manual top-up must be greater than $10.
Pricing modelTwo products on one bill: per-token serverless inference with a separate cached-input rate for each model, and dedicated GPUs billed per minute and invoiced weekly. Models without per-token pricing are billed for inference execution time instead.Per-token serverless inference with a cache-read rate published beside most models, and GPU instances offered at both on-demand and spot rates — the spot column is roughly half. Two models, Ling 3.0 Flash Fin and Sante, are listed at no charge on both input and output.
Infrastructure
RegionsServerless inference runs on DeepInfra's own inference-optimised infrastructure in US-based data centers. No region selector is documented for the shared inference API.GPU cloud page advertises 14 global regions in its feature list and, lower on the same page, 20+ locations across 4+ continents.
Inference
Input price, top model
$1.30 per million input tokens for DeepSeek-V4-Pro, the most expensive model in its catalogue. Cached input is $0.10.
$2.00 per million input tokens for Qwen3.8 Max, the most expensive model in its catalogue, with cache reads at $0.25 and output at $6.00.
Output price, top model
$2.60 per million output tokens for DeepSeek-V4-Pro.
$6.00 per million output tokens for Qwen3.8 Max.
Input price, cheapest model
$0.06 per million input tokens for DeepSeek-V4-Flash-0731, with cached input at $0.015 and output at $0.18. DeepSeek itself charges $0.44 at peak for the same checkpoint and Fireworks $0.22.
$0.075 per million input tokens for GLM 5.3 Flash at short context, rising to $0.15 above the threshold, with cache reads at $0.015 and output at $0.25. Fireworks serves the same model at $0.15.
Context window
1024k tokens on the DeepSeek V4 models it serves; 160k on the V3 generation. The window is the model's rather than a platform limit.
1M tokens on the DeepSeek V4 line and GLM 5.3, published as "1M" rather than an exact figure — so it is recorded at 1,000,000 and may in practice be the 1,048,576 other providers state. Qwen3.8 is listed at 977K.
Max output tokensHard cap of 16384 output tokens per response for most models on the chat completions API; the exact limit is model-dependent.128K (131,072) maximum output tokens for Qwen3.8 Max, the highest-priced model in the catalogue, against a 977K context.
Prompt cachingSupportedSupported
Batch discountBatch API jobs are billed 20% below real-time pricing, with results returned within 24 hours.Introductory 50% discount on input and output tokens for supported models when submitted through the Batch API.
Rate limitsDefault 200 concurrent requests per model per account (429 above it); a limit increase can be requested in the dashboard.Per-model RPM and TPM ceilings set by account tier T1–T5, where tier follows monthly top-ups: T1 up to $50 a month, T5 at least $10,000 in one of the last three months.
GPU
H100 SXM, per GPU-hour$2.20 per GPU-hour for a dedicated H100 80GB — below every dedicated cloud in this dataset. A100 80GB is $0.89, H200 $2.69, B200 $3.69. Billed in minute granularity, invoiced weekly.$3.39 per GPU-hour for an on-demand H100 SXM 80GB, or $1.70 spot.
Largest GPU offered
270GB per GPU on a B300, at $4.89 per GPU-hour.
80GB per GPU on an H100 SXM, the largest card it lists; below it are an L40S 48GB, RTX 5090 32GB and RTX 4090 24GB.
Compliance
SOC 2
Security measures stated to comply with SOC 2 standards in the privacy policy; no report, audit type or auditor is published.
SOC 2 Type II; the audit report is available under NDA to enterprise customers on request through the Trust Center.
HIPAATechnical and organizational measures for HIPAA compliance stated in the privacy policy; no BAA or eligible-services list is published.Not by default configured to comply with HIPAA, FISMA or GLBA; the Terms of Service direct affected users to contact support for enterprise arrangements. Terms of Use section 1, page updated August 5, 2026.
GDPR / data residencyPrivacy Policy: data may be transferred, stored and processed outside your jurisdiction, specifically in the United States; EU residents keep GDPR rights.GDPR compliance claimed; EU/EEA transfers rely on Standard Contractual Clauses (Module 2), UK transfers on the IDTA or UK Addendum.
Encryption at rest
Inference inputs and outputs are not stored to disk; bulk-inference data may be stored on disk in encrypted form, then deleted.
AES-256 for data at rest; TLS 1.2+ in transit between customers, Novita and its service providers.
Role-based access control
Team roles are member and admin; an admin can change roles, but all team members share the same API tokens and models.
Team accounts define five roles — Owner, Admin, Developer, Basic and Billing — each with read/write or view-only rights over all or only self-created resources.
Dedicated infrastructurePrivate model deployments run on dedicated GPU infrastructure - your weights, your endpoint, your isolation - not shared with other users.Deployments give a dedicated inference endpoint on exclusive GPUs, unlike serverless endpoints that share compute with other users.

Only criteria both providers publish appear here; a tinted cell marks a real difference. Criteria only one of them documents are listed below, and an absence there means we found no source — not that the feature is missing. How we source this.

The small bar above a value is inetGeek's own lean toward that side — computed from the same facts shown, never a number the provider published. See the picker below "The short answer" to weigh only the criteria you care about.

02.

Where they differ.

Free tier

DeepInfra
No
Novita AI
Yes — Three inclusionAI Ling 3.0 Flash variants are listed at $0 input and $0 output; all other models are paid per token.
Sources (2) →

Kind of free offer

DeepInfra
No free offer
Novita AI
Free tier
Sources (2) →

Entry paid plan

DeepInfra
No minimum spend and no seat fees - billing is pay-per-token usage only, with no charge for idle GPU time.
Novita AI
No plan fee — credit is prepaid, and a manual top-up must be greater than $10.
Sources (2) →

Pricing model

DeepInfra
Two products on one bill: per-token serverless inference with a separate cached-input rate for each model, and dedicated GPUs billed per minute and invoiced weekly. Models without per-token pricing are billed for inference execution time instead.
Novita AI
Per-token serverless inference with a cache-read rate published beside most models, and GPU instances offered at both on-demand and spot rates — the spot column is roughly half. Two models, Ling 3.0 Flash Fin and Sante, are listed at no charge on both input and output.
Sources (2) →

Regions

DeepInfra
Serverless inference runs on DeepInfra's own inference-optimised infrastructure in US-based data centers. No region selector is documented for the shared inference API.
Novita AI
GPU cloud page advertises 14 global regions in its feature list and, lower on the same page, 20+ locations across 4+ continents.
Sources (2) →

Input price, top model

DeepInfra
$1.30 per million input tokens for DeepSeek-V4-Pro, the most expensive model in its catalogue. Cached input is $0.10.
Novita AI
$2.00 per million input tokens for Qwen3.8 Max, the most expensive model in its catalogue, with cache reads at $0.25 and output at $6.00.
Sources (2) →

Output price, top model

DeepInfra
$2.60 per million output tokens for DeepSeek-V4-Pro.
Novita AI
$6.00 per million output tokens for Qwen3.8 Max.
Sources (2) →

Input price, cheapest model

DeepInfra
$0.06 per million input tokens for DeepSeek-V4-Flash-0731, with cached input at $0.015 and output at $0.18. DeepSeek itself charges $0.44 at peak for the same checkpoint and Fireworks $0.22.
Novita AI
$0.075 per million input tokens for GLM 5.3 Flash at short context, rising to $0.15 above the threshold, with cache reads at $0.015 and output at $0.25. Fireworks serves the same model at $0.15.
Sources (2) →

Context window

DeepInfra

1024k tokens on the DeepSeek V4 models it serves; 160k on the V3 generation. The window is the model's rather than a platform limit.

Novita AI

1M tokens on the DeepSeek V4 line and GLM 5.3, published as "1M" rather than an exact figure — so it is recorded at 1,000,000 and may in practice be the 1,048,576 other providers state. Qwen3.8 is listed at 977K.

Sources (2) →

Max output tokens

DeepInfra
Hard cap of 16384 output tokens per response for most models on the chat completions API; the exact limit is model-dependent.
Novita AI
128K (131,072) maximum output tokens for Qwen3.8 Max, the highest-priced model in the catalogue, against a 977K context.
Sources (2) →

Batch discount

DeepInfra
Batch API jobs are billed 20% below real-time pricing, with results returned within 24 hours.
Novita AI
Introductory 50% discount on input and output tokens for supported models when submitted through the Batch API.
Sources (2) →

Rate limits

DeepInfra
Default 200 concurrent requests per model per account (429 above it); a limit increase can be requested in the dashboard.
Novita AI
Per-model RPM and TPM ceilings set by account tier T1–T5, where tier follows monthly top-ups: T1 up to $50 a month, T5 at least $10,000 in one of the last three months.
Sources (2) →
  • Rate Limits - DeepInfra ↗

    “Every account has a default limit of 200 concurrent requests per model [...] You can request a rate limit increase in your”

    Read 2026-09-13 · official docs · Report a correction

  • Rate limits — Novita AI Documentation ↗

    “Each account has a default rate limit for model calls, measured in RPM (requests per model per minute) and TPM (tokens per model per minute). [...] T1 Monthly top-ups did not exceed $50 in any of the last 3 calendar months. [...] T5 Monthly top-ups were at least $10,000 in at least one of the last 3 calendar months.”

    Read 2026-09-13 · official docs · Report a correction

H100 SXM, per GPU-hour

DeepInfra
$2.20 per GPU-hour for a dedicated H100 80GB — below every dedicated cloud in this dataset. A100 80GB is $0.89, H200 $2.69, B200 $3.69. Billed in minute granularity, invoiced weekly.
Novita AI
$3.39 per GPU-hour for an on-demand H100 SXM 80GB, or $1.70 spot.
Sources (2) →
  • Pricing — DeepInfra ↗

    “A100 80GB $0.89 / GPU-hour H100 80GB $2.20 / GPU-hour H200 141GB $2.69 / GPU-hour B200 180GB $3.69 / GPU-hour B300 270GB $4.89 / GPU-hour [...] Billed in minute granularity Invoiced weekly”

    Read 2026-09-06 · official pricing · Report a correction

  • Novita AI GPU Cloud ↗

    “On-Demand SPOT H100 SXM 80GB 80 GB VRAM 3.39/hr/GPU 1.70/hr/GPU RTX 4090 24GB 24 GB VRAM 0.33/hr/GPU 0.17/hr/GPU”

    Read 2026-09-14 · official pricing · Report a correction

Largest GPU offered

DeepInfra

270GB per GPU on a B300, at $4.89 per GPU-hour.

Novita AI

80GB per GPU on an H100 SXM, the largest card it lists; below it are an L40S 48GB, RTX 5090 32GB and RTX 4090 24GB.

Sources (2) →

SOC 2

DeepInfra
Security measures stated to comply with SOC 2 standards in the privacy policy; no report, audit type or auditor is published.
Novita AI
SOC 2 Type II; the audit report is available under NDA to enterprise customers on request through the Trust Center.
Sources (2) →

HIPAA

DeepInfra
Technical and organizational measures for HIPAA compliance stated in the privacy policy; no BAA or eligible-services list is published.
Novita AI
Not by default configured to comply with HIPAA, FISMA or GLBA; the Terms of Service direct affected users to contact support for enterprise arrangements. Terms of Use section 1, page updated August 5, 2026.
Sources (2) →
  • Privacy Policy — DeepInfra ↗

    “Our security measures comply with SOC 2 and ISO 27001 standards and include technical and organizational measures for GDPR and HIPAA”

    Read 2026-09-13 · official site · Report a correction

  • Novita AI Terms of Service ↗

    “The Site is not by default configured to comply with certain industry-specific regulations (including HIPAA, FISMA, and GLBA). If your use of the Site or Marketplace Offerings is subject to such laws, please contact us at support@novita.ai to discuss enterprise compliance arrangements before proceeding.”

    Read 2026-09-13 · official site · Report a correction

GDPR / data residency

DeepInfra
Privacy Policy: data may be transferred, stored and processed outside your jurisdiction, specifically in the United States; EU residents keep GDPR rights.
Novita AI
GDPR compliance claimed; EU/EEA transfers rely on Standard Contractual Clauses (Module 2), UK transfers on the IDTA or UK Addendum.
Sources (2) →
  • DeepInfra Privacy Policy ↗

    “Your data may be transferred, stored, and processed outside of your jurisdiction, specifically in the United States. [...] If you are a resident of the European Union you may have additional rights under the General Data Protection Regulation.”

    Read 2026-09-13 · official site · Report a correction

  • Novita AI Trust Center — FAQ ↗

    “GDPR Compliance: Aligned with EU requirements [...] Standard Contractual Clauses (SCCs) — European Commission Decision 2021/914 (Module 2: Controller-to-Processor), as appropriate to your deployment model”

    Read 2026-09-13 · official site · Report a correction

Encryption at rest

DeepInfra
Inference inputs and outputs are not stored to disk; bulk-inference data may be stored on disk in encrypted form, then deleted.
Novita AI
AES-256 for data at rest; TLS 1.2+ in transit between customers, Novita and its service providers.
Sources (2) →

Role-based access control

DeepInfra
Team roles are member and admin; an admin can change roles, but all team members share the same API tokens and models.
Novita AI
Team accounts define five roles — Owner, Admin, Developer, Basic and Billing — each with read/write or view-only rights over all or only self-created resources.
Sources (2) →
  • Okta SSO - DeepInfra ↗

    “Admin can change team member roles (member / admin) [...] All team members share the same API tokens and models [...] For per-user isolation (separate tokens and models per person), contact us”

    Read 2026-09-13 · official docs · Report a correction

  • Team — Novita AI Documentation ↗

    “Role is a set of permissions that define what actions a member can perform within a team. There are 5 roles in one team: [...] Action : Either Read/Write (create, update, delete, query) or View (query and list only). [...] Owner The highest level of permission. Manages the team, billing, and all resources. Each team has exactly one Owner.”

    Read 2026-09-13 · official docs · Report a correction

Dedicated infrastructure

DeepInfra
Private model deployments run on dedicated GPU infrastructure - your weights, your endpoint, your isolation - not shared with other users.
Novita AI
Deployments give a dedicated inference endpoint on exclusive GPUs, unlike serverless endpoints that share compute with other users.
Sources (2) →

When these numbers change, hear about it. Sources are re-checked monthly; a repricing goes out as a short note.

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03.

Documented by only one.

These criteria are published by one provider and not the other. An absence here means we have not found a source, not that the feature is missing — except where we say we read the other provider's own page on a given date and it does not state it. Those rows lean, and the provider can correct them with a link.

Credit card to startDeepInfra: Yes
ISO 27001DeepInfra: Security measures stated to comply with ISO 27001 standards in the privacy policy; no certificate or issuing body is published.
Private networking / VPCNovita AI: Per-project VPC, peering and transit gateway, listed as a GPU cloud platform feature.
04.

Questions this comparison answers.

Entry paid plan: DeepInfra or Novita AI?

DeepInfra: No minimum spend and no seat fees - billing is pay-per-token usage only, with no charge for idle GPU time.

Novita AI: No plan fee — credit is prepaid, and a manual top-up must be greater than $10.

Free tier: DeepInfra or Novita AI?

DeepInfra: No

Novita AI: Yes — Three inclusionAI Ling 3.0 Flash variants are listed at $0 input and $0 output; all other models are paid per token.

Should I choose DeepInfra or Novita AI?

Pick DeepInfra if Running open-weight models at the lowest published per-token rates here — DeepSeek-V4-Flash at $0.06 per million input is a fraction of what the lab itself charges — with dedicated H100s at $2.20 an hour if throughput demands it.

Pick Novita AI if Breadth — 200+ models under one API with a cache-read rate published next to most of them, and an H100 SXM at $3.39 an hour if the same vendor should run the dedicated side too.

Provider pages

Related comparisons

Comments

Every page here is sourced and dated.