Price checkPer million tokens
Community (open source)FreeModel APIUsage-basedCloud deploymentCustom
See all 5 plans

All Xinference Plans & Pricing

Some prices not re-verified — only plans marked “checked” were confirmed on the vendor’s pricing page

Plan Monthly Annual Best For
View all features by plan (compare side-by-side)

Community (open source)

  • Same Apache-2.0 engine as Enterprise
  • Self-hosted on your own hardware
  • GitHub community support

Model API

  • Kimi K3: $3.00/1M input, $15.00/1M output
  • DeepSeek V4.1 Flash: $0.30/1M input, $1.20/1M output
  • GLM 5.3: rate on request
  • Frontier open models by the token, nothing to host

Cloud deployment

  • Dedicated GPUs in Xinference's cloud, fully managed
  • H200, H100, B200, A100 and RTX6000 Pro: contact sales
  • Volume discounts available

Private deployment

  • The full platform inside your own perimeter
  • Your own cloud or on premises
  • Contact sales

Xinference + Xagent bundle

  • From $10K a month for 500 users
  • Inference plus agents, one stack, one vendor
  • Hosted in Australia
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At a glance

List price by tier (annualized, per license)

Per-license list price across Xinference's plans, annualized. Custom-priced tiers show a hatched bar.

Cloud deploymentCustom
Private deploymentCustom
Xinference + Xagent bundle$120K/yr
Quick Answer
Last verified:
High confidence

Xinference offers usage-based pricing from $0.300–$15.00 per million tokens as of October 2026 and custom pricing for larger requirements. Plans: Community (open source) (free), Model API (usage-based), and Xinference + Xagent bundle at $10K per month (500 users). Custom pricing is available on request. Usage cost depends on the selected model and generation volume.

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

  • Free tier: Yes

Xinference offers 5 pricing tiers: Community (open source), Model API, Cloud deployment, Private deployment, Xinference + Xagent bundle. A free plan is available. Paid plans include Model API (usage-based), Xinference + Xagent bundle at $10K per month (500 users). The Model API plan is teams that want hosted open models billed per token.

Compared to other llm inference serving software, Xinference is positioned at the premium price point.

  • 13 documented hidden costs beyond list price
Last verified: | Sources: 1 pricing pages and reviews

How much does Xinference cost?

Xinference has a free plan; Xinference + Xagent bundle costs $10,000/mo. Enterprise pricing is quote-based. Plans include Community (open source) (free), Model API (usage-based), Cloud deployment (custom pricing), Private deployment (custom pricing), Xinference + Xagent bundle at $10000 per month (500 users).

Xinference Pricing Overview

Xinference offers usage-based pricing from $0.300–$15.00 per million tokens and custom pricing for larger requirements. The Community (open source) plan is free and is best for teams that run their own gpus and want the open-source engine. The Model API plan is usage-based and is designed for teams that want hosted open models billed per token. The Cloud deployment plan requires contacting sales for a custom quote and is designed for dedicated managed inference without running gpus yourself. The Private deployment plan requires contacting sales for a custom quote and is designed for regulated teams that need inference inside their own perimeter. The Xinference + Xagent bundle plan costs $10,000 per month (500 users), best for organisations buying inference and agents from one vendor.

Xinference requiring Subscriptions may be canceled any time notice to cancel.

There are at least 13 documented hidden costs beyond Xinference's list price, including implementation, training, and add-on fees.

This pricing was last verified in October 26, 2026 from 1 independent source.

Try Xinference Free

Xinference is an open-source inference platform. The Community edition runs the same Apache-2.0 engine as Enterprise and is free to self-host. Xinference's paid options are its Model API, billed per token (Kimi K3 at $3.00 input / $15.00 output and DeepSeek V4.1 Flash at $0.30 / $1.20 per million tokens), and dedicated inference on dedicated GPUs, either in Xinference's cloud or as a private deployment in your own cloud or on premises, quoted by sales.

Xinference also sells an Xinference + Xagent bundle from $10K a month for 500 users. It publishes no minimum commitment.

How Xinference Pricing Compares

Compare Xinference pricing against top alternatives in LLM Inference Serving.

Ollama $20-$100/month View pricing → SGLang Custom pricing View pricing →

Usage-Based Rates

Per-unit pricing for Xinference API usage.

Model API

Model Input Output Cached Per
kimi-k3 $3.00 $15.00 — 1M tokens
deepseek-v4-1-flash $0.300 $1.20 — 1M tokens

Compare Xinference vs Alternatives

Before committing to Xinference, compare pricing with these 2 alternatives in the same category.

VSOllama
From $20/month

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VSSGLang
Custom

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All Xinference alternatives & migration guides

What Companies Actually Pay for Xinference

Review scores
Third-party review aggregates, as of Jul 2026
Top pricing complaints
Supply Chain Attack and Security VulnerabilitiesStreaming Errors with AI ModelsKeyError in ChatGLM3-6B Integration

How Xinference Pricing Compares

Software Starting Price Top Price
Xinference Free $10000 per million tokens
Ollama $20/month $100/month
SGLang Custom Custom

Browse all LLM Inference Serving pricing →

13 Xinference Hidden Costs Beyond the List Price

Beyond the listed price, Xinference has at least 13 documented hidden costs that can significantly increase total cost of ownership.

Watch for 13 hidden costs
  • Specialized Engineering Talent 45-55% of total costs
    critical 1 source
    Grounded summary Organizations often underestimate the specialized expertise required for deployment, optimization, and ongoing maintenance of LLM inference stacks
  • GPU Infrastructure about 40% of the costs
    high 1 source
    Grounded summary This includes the cost of cloud GPU instances or purchasing on-premise hardware, along with associated power, cooling, and networking
  • Ongoing Maintenance and Operational Overhead
    high 1 source
    Grounded summary Organizations often underestimate the specialized expertise required for deployment, optimization, and ongoing maintenance of LLM inference stacks
  • Security Hardening and Compliance
    medium 1 source
    Grounded summary Security Hardening and Compliance: Work related to securing the deployment and ensuring compliance adds another frequently underestimated cost dimension
  • Energy Consumption
    medium 1 source
    Grounded summary Energy Consumption: Running large models, especially during training, can consume significant electricity, comparable to hundreds of households
  • Engineering Time (Initial Deployment) $200,000-$300,000 (source dated Jul 2026)
    critical 1 source
    Grounded summary This includes: * Model Updates and Maintenance: The re-quantization, testing, and redeployment cycle for model updates can take 3-4 weeks and cost ~$12,000 in engineering time per update cycle
  • Inefficient GPU Utilization
    high 1 source
    Grounded summary Highly volatile demand can require 8 times more capacity for the same average volume, leading to 97% idle GPUs and paying for 125 GPUs when only 3-4 are active
  • Model Updates and Maintenance ~$12,000 per update cycle
    high 1 source
    Grounded summary This includes: * Model Updates and Maintenance: The re-quantization, testing, and redeployment cycle for model updates can take 3-4 weeks and cost ~$12,000 in engineering time per update cycle
  • Overall Ongoing Operations 2.3 times the initial deployment cost over a three-year period
    high 1 source
    Grounded summary Overall, ongoing operations can accumulate to 2.3 times the initial deployment cost over a three-year period
  • Annual Maintenance 15-30%
    high 1 source
    Grounded summary Annual maintenance, including retraining, monitoring, and security updates, accounts for 15-30% of the total AI infrastructure cost
  • Observability and Evaluation Tooling $200-$1,500 per month
    medium 1 source
    Grounded summary This includes: * Model Updates and Maintenance: The re-quantization, testing, and redeployment cycle for model updates can take 3-4 weeks and cost ~$12,000 in engineering time per update cycle
  • Compliance and Governance $30,000-$100,000+ per year
    high 1 source
    Grounded summary Compliance and Governance: Ongoing model risk, monitoring, and compliance frameworks typically run $30,000-$100,000+ per year
  • Opportunity Cost
    high 1 source
    Grounded summary Opportunity Cost: The time from deciding to self-host to having a useful workflow in production can be 9-18 months, during which workflows either go without AI or rely on external endpoints that the self-hosted solution was meant to replace
Tip

Ask your Xinference 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. 13 source citations total.

Xinference Contract Terms

Xinference contracts do not auto-renew. Changes require Subscriptions may be canceled any time. These terms are sourced from verified buyer experiences.

Contract Terms
Cancellation Notice Subscriptions may be canceled any time

Xinference Pricing FAQ

01 How much does Xinference cost?

The open-source Community edition is free to self-host. The Model API is billed per token per model, for example Kimi K3 at $3.00 per 1M input and $15.00 per 1M output tokens. Dedicated cloud and private deployments are quoted by sales.

02 Is Xinference free?

Yes, the Community edition is open source (Apache-2.0) and free to self-host, using the same engine as Enterprise. You supply and run the GPUs yourself.

03 How is the Xinference Model API priced?

Per token, per model: Kimi K3 costs $3.00 per 1M input and $15.00 per 1M output tokens; DeepSeek V4.1 Flash costs $0.30 and $1.20. GLM 5.3 is priced on request.

04 Does Xinference require an annual contract?

Xinference's pricing page does not publish a minimum commitment or contract length. Dedicated deployments are quoted by sales, so terms are set in the quote.

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