NVIDIA NIM vs Cerebras Inference API Pricing (2026)
Compare / NVIDIA NIM vs Cerebras Inference API
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Team size
25 seats

NVIDIA NIM vs Cerebras Inference API

LLM API Providers pricing comparison · 2026

NVIDIA NIM pricing ranges from $0.1–$10/per million tokens, while Cerebras Inference API ranges from $0.1–$6/per million tokens. Cerebras Inference API is typically 33% more affordable, though your actual cost depends on tier and team size.

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2 products · LLM API Providers
Side-by-side · live
NVIDIA NIM
NVIDIA NIM pricing starts at $0/month on the Developer (Free credits) plan, giving develop
verified 28d ago
View pricing →
Cerebras Inference API
Cerebras Inference API offers a Free tier (Developer) plan at $0 for testing and developme
verified 2d ago
View pricing →
Estimated license cost
at 25 seats
List price × seats. Click a tier below to lock it.
Usage-based
$0.9 per 1M tokens
see vendor pricing for volume tiers
Usage-based
$0.85 per 1M tokens
see vendor pricing for volume tiers
REF · 01

Sources & confidence

Every dollar amount and contract clause below traces back to a sourced fact. We don't manufacture composite scores.

Where this data comes from
Vendr · TrustRadius · Reddit · BBB · official docs
Sources 1 sourced fact
Vendr median
Last verified 4w ago
Confidence Medium confidence
Sources 9 sourced facts
8 hidden-cost · 1 contract
Last verified 2d ago
Confidence Medium confidence
REF · 02

Plans at a glance

Every tier per product. Lock one to drive the cost row above and reveal a tier-specific outbound CTA.

Tier ladder
Click a tier to lock the cost row to it. Locking surfaces a tier-specific Visit CTA.
REF · 03

Hidden costs

Each cost is severity-ranked, with the dollar range quoted from its source (Vendr, Reddit, TrustRadius, BBB, official docs) — never our estimate.

Beyond the sticker
Severity-ranked, sourced
No hidden costs documented
4 documented
  • Opaque Pay-as-you-go Pricing and Rate Limits
    5-15% of license costs
    3 sources
  • Access Waitlist Delays
    5-10% of license costs
    1 source
  • Large Model Support Limitations and Cost Premium
    10-25% of license costs
    2 sources
  • Large Model Memory Constraints
    10-30% of license costs
    2 sources
REF · 05

What users say

Aggregated, with sample sizes. We use whichever review platform has data.

User reviews
TrustRadius · Trustpilot · G2
No public ratings yet
Best for
Prototyping and evaluation
No public ratings yet
Best for
Testing Cerebras's unique speed advantage
Watch out
Pricing transparency is poor — hard to estimate costs before scaling to production
Decide
Get a quote from each vendor
Each link opens the vendor's pricing page in a new tab.
License cost is computed from publicly listed plans (real math, list price × seats). Median annual cost is from Vendr's deal flow when available — see source badges. Hidden costs and contract terms each cite their own sources. We do not invent composite scores.
LLM API Providers

NVIDIA NIM

$0.1–$10
/per million tokens
3 plans · Free tier
Full pricing breakdown →
VS
LLM API Providers

Cerebras Inference API

$0.1–$6
/per million tokens
3 plans · Free tier
Full pricing breakdown →

NVIDIA NIM and Cerebras Inference API both operate in the llm api providers category. This page compares their list pricing.

Plan-by-Plan Pricing

Plan NVIDIA NIM Cerebras Inference API
Developer (Free credits) Free /month Free /month
Pay-as-you-go (hosted NIM endpoints) Custom Custom
Enterprise (AI Enterprise license + DGX Cloud) Custom Custom

Cost at Scale

Total cost of ownership — licenses, implementation, and hidden costs included.

NVIDIA NIM

3 scenarios
$0
Developer Evaluation
$5.20/month ($62.40/year)
Small team at median token pricing
$120/month ($1,440/year)
Production app on Llama 3.1 Nemotron 70B

Cerebras Inference API

4 scenarios
$0/month
Developer Prototyping (Free Tier)
on the Free tier (Developer) plan
$0.60/M
Pay-as-you-go Usage — Llama 3.1 70B (as of Oct 2024)
tokens for Llama 3.1 70B (third-party data, October 2024)
$0/month
Individual Developer — Free Tier Prototyping
See all 4 scenarios →

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