Price checkPer per million tokens
Service DiscontinuedCustom
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All OctoAI Plans & Pricing

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Service Discontinued

  • Service shut down after NVIDIA acquisition (October 2024)
  • Public cloud inference no longer available
  • Alternatives: Together AI, DeepInfra, Fireworks AI, Groq
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OctoAI uses custom pricing as of July 2026. Contact OctoAI directly for a personalized quote. Pricing depends on your chosen tier, contract length, and negotiated discounts.

Use the interactive pricing calculator to estimate your exact cost based on team size and requirements.

  • Free tier: No free tier available

OctoAI offers 1 pricing tiers: Service Discontinued. The Service Discontinued plan is historical reference only — service is not available.

Compared to other llm api providers software, OctoAI is positioned at the budget-friendly price point.

  • 17 documented hidden costs beyond list price
  • Contracts auto-renew — 30, 60, or 90 days before the auto-renewal date
Last verified: | Sources: 2 pricing pages and reviews

How much does OctoAI cost?

OctoAI uses custom pricing across 1 plan. Contact OctoAI directly for a personalized quote. Plans include Service Discontinued (custom pricing).

OctoAI Pricing Overview

OctoAI uses custom pricing — contact their sales team for a quote. The Service Discontinued plan requires contacting sales for a custom quote and is designed for historical reference only — service is not available.

OctoAI contracts auto-renew, requiring 30, 60, or 90 days before the auto-renewal date notice to cancel, and annual price increases of 3-5%.

There are at least 17 documented hidden costs beyond OctoAI's list price, including implementation, training, and add-on fees.

This pricing was last verified in May 6, 2026 from 2 independent sources.

Request OctoAI Pricing

OctoAI was a serverless AI inference platform that offered per-token pricing for open-source models including Llama, Mistral, and CodeLlama. In October 2024, OctoML (the company behind OctoAI) was acquired by NVIDIA. Following the acquisition, OctoAI's public cloud inference service was discontinued. Existing customers were transitioned off the platform. If you previously used OctoAI, consider alternatives such as Together AI, DeepInfra, Fireworks AI, or Groq for open-source model inference.

How OctoAI Pricing Compares

Compare OctoAI pricing against top alternatives in LLM API Providers.

Fireworks AI $0-$9/per million tokens / hour Compare → Cloudflare Workers AI $0.05-$5/per million tokens Compare → Lepton AI $0.07-$4.0/per million tokens Compare →

Compare OctoAI vs Alternatives

Before committing to OctoAI, compare pricing with these 3 alternatives in the same category.

VSFireworks AI
Free

Variable-volume API usage

Full comparison
VSCloudflare Workers AI
From $0.05/per million tokens

Prototyping + low-volume production at the edge

Full comparison
VSLepton AI
From $0.07/per million tokens

Developers needing fast serverless inference for open-source models

Full comparison

All OctoAI alternatives & migration guides

What Companies Actually Pay for OctoAI

Review scores
Third-party review aggregates, as of Jul 2026
Top pricing complaints
Discontinuation of commercial services due to acquisitionLoss of access to valued features (efficient and cost-effective inference, model flexibility, developer-friendly experience)Need to find alternatives offering similar control, customization, and transparent pricing

How OctoAI Pricing Compares

Software Starting Price Top Price
OctoAI Custom Custom
Amazon Bedrock $0.07/per million tokens $75/per million tokens
Anyscale $0.15/per million tokens $5/per million tokens
Baidu ERNIE API $0.1/per million tokens $10/per million tokens
Cerebras Inference API $0.1/per million tokens $6/per million tokens
Cohere API $0.037/per million tokens $10/per million tokens

Detailed pricing comparisons:

Browse all LLM API Providers pricing →

17 OctoAI Hidden Costs Beyond the List Price

Beyond the listed price, OctoAI has at least 17 documented hidden costs that can significantly increase total cost of ownership.

Watch for 17 hidden costs
  • Conversation History Re-processing $5,000
    high 1 source
    industry "Scaling this to 100,000 sessions per month could lead to input costs exceeding $5,000 from history re-processing."
  • System Prompt Overhead $400 per month
    medium 1 source
    industry "A 2,000-token system prompt at 100,000 requests per month can cost $400 per month at GPT-4.1 rates before any user tokens are counted."
  • Uncapped Output Generation
    high 1 source
    industry "Uncapped Output Generation: Models can produce variable-length responses, potentially generating 10-25 times more output tokens than projected if max_tokens limits are not explicitly set."
  • Egress Charges 5-10%
    medium 1 source
    industry "For instance, AWS Bedrock charges $0.09 per GB for data exceeding 100GB per month, potentially adding 5-10% to per-token costs for applications with high token volumes and long generation lengths."
  • Request Overhead and Batching Inefficiency
    medium 1 source
    industry "Some providers also impose minimum request sizes or latency requirements that force inefficient batching."
  • Retries and Secondary Model Calls 1.5x–2.2x multiplier
    high 1 source
    industry "Retries and Secondary Model Calls: Failed generations, classifier calls, and judge calls can add a 1.5x–2.2x multiplier to the raw token bill."
  • Glue Code Maintenance
    medium 1 source
    industry "Glue Code Maintenance: Engineering effort required to normalize differences between providers, including context-window calculation, truncation, and handling inconsistent usage fields."
  • Eval Infrastructure
    medium 1 source
    industry "Eval Infrastructure: Costs associated with setting up and maintaining infrastructure for evaluating model performance."
  • Prompt Drift Remediation
    medium 1 source
    industry "Prompt Drift Remediation: Ongoing costs to address changes in model behavior or performance due to prompt variations."
  • Debugging, Retries, and Rollbacks
    medium 1 source
    industry "Debugging, Retries, and Rollbacks: Operational overhead for troubleshooting and managing model deployments."
  • Embeddings and Vector Databases 20-40%
    high 1 source
    industry "Embeddings and Vector Databases: Costs for generating embeddings and hosting vector databases, which can account for 20-40% of total operational expenses on top of raw token spend."
  • Logging and Monitoring
    low 1 source
    industry "Logging and Monitoring: Expenses related to tracking and observing LLM usage and performance."
  • Vendor Lock-in
    high 1 source
    industry "Vendor Lock-in: Over time, this can lead to higher costs and reduced flexibility."
  • Metered Pricing Usage Fees
    critical 1 source
    industry "Hidden/Implementation Costs: * Metered Pricing and Exploding Usage Fees: Public AI APIs often use "pay only for what you use" models, where every token (input and output) adds to the bill."
  • Peak Demand Surcharges
    high 1 source
    industry "Peak Demand Surcharges: Some providers increase rates during periods of heavy traffic, potentially doubling the standard rate when a product goes viral."
  • Reasoning Tokens
    medium 1 source
    industry "Reasoning Tokens: Beyond input and output tokens, some providers charge for "reasoning tokens," which can be a "black box" in terms of cost."
  • Opportunity Cost
    high 1 source
    industry "Opportunity Cost: Spending on external models means not investing in proprietary data pipelines or bespoke model training, potentially hindering long-term strategic agility."
Tip

Ask your OctoAI sales rep about these costs upfront. Getting them in writing before signing can save you from surprise charges later.

Full hidden costs breakdown →

Intelligence sourced from 1 independent sources
industry
Key claims include inline source attribution. Data verified against multiple independent sources. 19 source citations total.

OctoAI Contract Terms

OctoAI contracts auto-renew. Changes require 30, 60, or 90 days before the auto-renewal date. These terms are sourced from verified buyer experiences.

Contract Terms
Auto-Renewal Yes
Cancellation Notice 30, 60, or 90 days before the auto-renewal date
Minimum Commitment Usage-based pricing models often include minimum commitments
Price Escalation 3-5%
Based on 1 verified source

How to Negotiate OctoAI Pricing

OctoAI contracts are negotiable. These 1 tactics are sourced from real buyer experiences and procurement specialists.

Negotiation Playbook 1 tactics
Leveraging Competition high success

The ability to switch between models can force vendors to cut prices, especially as competitors offer comparable capabilities at significantly lower costs.

https://aibusiness.com
High success Medium Low / difficult

Full negotiation guide →

OctoAI Pricing FAQ

01 Is OctoAI still available?

No. OctoAI's parent company OctoML was acquired by NVIDIA in October 2024. The public cloud inference service was subsequently shut down. If you previously used OctoAI, migrate to alternatives like Together AI, DeepInfra, Fireworks AI, or Groq.

02 Who acquired OctoAI?

NVIDIA acquired OctoML (the company behind OctoAI) in October 2024. The acquisition was focused on NVIDIA incorporating OctoML's model optimization and serving technology into its own AI infrastructure stack (NVIDIA NIM / TensorRT-LLM).

03 What are the best OctoAI alternatives?

The closest alternatives to OctoAI's serverless open-source model inference are: Together AI (largest model selection), DeepInfra (cheapest rates), Fireworks AI (fastest inference), and Groq (ultra-low latency). All offer OpenAI-compatible APIs.

04 What happened to OctoAI's pricing?

OctoAI offered per-token pricing for Llama, Mistral, and CodeLlama models at rates competitive with Together AI ($0.10-$0.90/M tokens depending on model). These rates are no longer active as the service was shut down after the NVIDIA acquisition.

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