Price checkPer open-source license
Open Source (Apache 2.0)Free
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Open Source (Apache 2.0)

  • LLM and multimodal model serving framework
  • Self-hosted deployment
  • Apache License 2.0
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Quick Answer
Last verified:
High confidence

SGLang costs Free to Free per open-source license as of August 2026 including a free tier. Plan: Open Source (Apache 2.0) (free). The median contract is $51,500/year based on 6 third-party buyer reports.

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

  • Free tier: Yes

SGLang offers 1 pricing tiers: Open Source (Apache 2.0). The Open Source (Apache 2.0) plan is teams self-hosting high-performance model serving.

Compared to other llm inference serving software, SGLang is positioned at the budget-friendly price point.

  • Median contract: $51,500/yr from 6 buyer reports Directional
  • 8 documented hidden costs beyond list price
Last verified: | Sources: 2 pricing pages and reviews

How much does SGLang cost?

SGLang offers a free plan with 0 paid tiers from $Infinity to $0/open-source license. Plans include Open Source (Apache 2.0) (free).

SGLang Pricing Overview

SGLang has 1 pricing plans, including a free tier. Paid plans range from $0 to $0/open-source license. The Open Source (Apache 2.0) plan is free and is best for teams self-hosting high-performance model serving.

The median SGLang customer pays $51,500/year based on 6 verified purchases.

There are at least 8 documented hidden costs beyond SGLang's list price, including implementation, training, and add-on fees.

This pricing was last verified in August 7, 2026 from 2 independent sources.

Try SGLang Free

SGLang is free, open-source model-serving software under the Apache License 2.0. The software has no subscription or enterprise license fee; operators still pay for their own compute, networking, storage, and model access.

How SGLang Pricing Compares

Compare SGLang pricing against top alternatives in LLM Inference Serving.

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

Compare SGLang vs Alternatives

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

VSOllama
From $20/month

Compare pricing
VSXinference
Custom

Compare pricing

All SGLang alternatives & migration guides

What Companies Actually Pay for SGLang

The median SGLang buyer pays $51,500/year based on 6 verified purchase transactions.

What companies actually pay $51,500/yr Median across 6 third-party buyer reports Directional
Review scores
Third-party review aggregates, as of Aug 2026
Top pricing complaints
CUDA Out of Memory (OOM) ErrorsCUDA Error: Illegal Memory Access EncounteredServer HangsModel Loading Issues
Source: aggregated from 6 third-party buyer reports for this quote-only vendor. Indicative market pricing — not official vendor pricing or contract-grade data.

How SGLang Pricing Compares

Software Starting Price Top Price
SGLang Custom Custom
Ollama $20/month $100/month
Xinference Custom Custom

Browse all LLM Inference Serving pricing →

8 SGLang Hidden Costs Beyond the List Price

Beyond the listed price, SGLang has at least 8 documented hidden costs that can significantly increase total cost of ownership.

Watch for 8 hidden costs
  • GPU Infrastructure and Utilization $11,700 a month
    high 1 source
    industry "A multi-GPU node with eight H100-class cards can cost approximately $2 per GPU-hour on demand, totaling around $16 per hour, or roughly $11,700 a month, regardless of saturation."
  • Engineering Time $200,000 over four months, $12,000-$15,000 per month
    critical 1 source
    industry "Initial deployment can consume 2-4 full-time engineers for 3-6 months, representing an engineering cost of $200,000 over four months (or $50,000 per month amortized)."
  • Sub-optimal GPU Utilization
    high 1 source
    industry "Sub-optimal Utilization Rates: Production traffic is often diurnal and bursty, leading to real GPU utilization rates closer to 10-20 percent, with the remaining capacity being paid for while idle."
  • Context Windows and KV Cache Memory
    medium 1 source
    industry "When context length exceeds a single GPU's memory, multi-GPU setups become necessary, significantly increasing hourly costs."
  • Redundant Computation
    high 1 source
    industry "Redundant Computation: In multi-step LLM pipelines, recomputing the same key-value activations for shared prefixes across multiple calls can burn "tens of thousands of GPU-seconds per hour on compute that produces zero new tokens" at high concurrency."
  • Model Updates and Maintenance
    medium 1 source
    industry "Evaluating, migrating, and re-evaluating these models is a recurring engineering project."
  • Supporting Infrastructure 25% to hardware costs, or $2,000-$3,000 per month
    medium 1 source
    industry "Supporting Infrastructure: Beyond GPUs, costs include proper workstation or server platforms, power supplies (e.g., 2000W-3000W PSUs for eight GPUs), and cooling."
  • Electricity Costs $30 per month
    low 1 source
    industry "One rack-mount server can cost around $30 per month (or $360 per year) to run at the average U.S. electricity rate of $0.1747 per kWh."
Tip

Ask your SGLang 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. 9 source citations total.

SGLang Pricing FAQ

01 Is SGLang free?

Yes. The SGLang repository is public and licensed under Apache License 2.0, which grants no-charge use, modification, and distribution rights subject to the license terms.

02 What costs are not included with SGLang?

SGLang is the serving software. You still pay for any GPUs or other compute, storage, networking, and model-provider access used by your deployment.

Is this pricing incorrect? — we'll verify and update it.