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SGLang uses custom pricing as of July 2026. Contact SGLang directly for a personalized quote. 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: No free tier available

SGLang offers 1 pricing tiers: Enterprise.

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

How much does SGLang cost?

SGLang uses custom pricing across 1 plan. Contact SGLang directly for a personalized quote. Plans include Enterprise (custom pricing).

SGLang Pricing Overview

SGLang uses custom pricing — contact their sales team for a quote. The Enterprise plan requires contacting sales for a custom quote.

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

There are at least 14 documented hidden costs beyond SGLang's list price, including implementation, training, and add-on fees.

This pricing was last verified in June 14, 2026 from 1 independent source.

Request SGLang Pricing

SGLang offers custom pricing for its Enterprise plan. Contact their sales team for specific details regarding this tier.

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 Jul 2026
Top pricing complaints
Out of Memory (OOM) ErrorsCUDA and Kernel ErrorsServer Hangs and Performance IssuesNon-Deterministic Results
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 →

14 SGLang Hidden Costs Beyond the List Price

Beyond the listed price, SGLang has at least 14 documented hidden costs that can significantly increase total cost of ownership.

Watch for 14 hidden costs
  • GPUs $10,000 to $15,000 per unit
    high 1 source
    industry "A 70B parameter model might require up to four 80GB GPUs, while a 400B model could need at least ten 80GB GPUs"
  • Networking
    medium 1 source
    industry "Networking: Connecting multiple accelerators for larger models increases costs due to additional GPU purchases and expensive high-bandwidth networking"
  • Storage
    low 1 source
    industry "Storage: Costs include storing model weights, embeddings, vector indexes, logs, and artifacts"
  • Inefficient GPU Utilization 97% of GPUs being idle 90% of the time
    high 1 source
    industry "Highly volatile demand can require 8 times more capacity for the same average volume, leading to 97% of GPUs being idle 90% of the time"
  • Token Volume and Context Length $15,000/month for a 109B model or $30,000/month for a 400B model (small startup); $200,000/month for a 109B model and $400,000/month for a 400B model (large enterprise)
    high 1 source
    industry "Token Volume and Context Length: Longer context windows and higher token volumes directly increase inference costs"
  • Latency Targets
    medium 1 source
    industry "Latency Targets: Achieving low latency, especially for real-time applications like online RAG, necessitates more resources and can increase costs"
  • Engineering Talent Over a three-year horizon, personnel costs can exceed infrastructure costs by a factor of two or three
    critical 1 source
    industry "Self-hosting an LLM typically requires a minimum of six to ten engineers, and fifteen to twenty for larger deployments"
  • Deployment and Maintenance $610,000–$710,000 per year for staffing alone
    high 1 source
    industry "Deployment and Maintenance: Initial deployment can take 3-6 months with 2-4 full-time engineers, and ongoing operational costs require at least 1 FTE for on-call and optimization work"
  • Operational Overhead
    medium 1 source
    industry "Operational Overhead: * Monitoring, Patching, Scaling, Troubleshooting: These ongoing tasks are crucial for reliable production LLM serving"
  • Infrastructure & Scalability $25,000-$40,000 (NVIDIA H100 GPU), $200,000-$400,000 (8-GPU server systems), $1.38/hour-$7.50/hour (H100 cloud rental), $1 million (annual inference bill)
    high 1 source
    industry "Cloud GPU rental rates for an H100 can vary significantly, from as low as $1.38/hour on specialized clouds to over $7.50/hour on hyperscalers like AWS."
  • LLMflation & Model Inertia
    medium 1 source
    industry "Model inertia refers to the tendency of production teams to continue using older, more expensive models even after cheaper or better alternatives become available."
  • Token Pricing Complexities $21 per million input tokens, $168 per million output tokens (for OpenAI's GPT-5.2 Pro)
    medium 1 source
    industry "Token-based Pricing Complexities: While per-token pricing seems straightforward, reasoning models can consume 50-100x more tokens internally than they output, leading to a "cost paradox" where cheaper per-token rates result in higher total bills."
  • Data Egress Fees $2,600-$3,600 per month (for 1 TB/day of inference output)
    medium 1 source
    industry "One source estimates that 1 TB/day of inference output can incur $2,600-$3,600 per month in egress fees, depending on the provider."
  • Lack of Observability & Evals
    medium 1 source
    industry "Lack of Observability and Evals: Without proper observability and evaluation pipelines, teams struggle to identify cost drivers, leading to undetected regressions and rising rework."
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. 15 source citations total.

SGLang Pricing FAQ

01 Is there a free plan available for SGLang?

SGLang does not offer a free plan.

02 What are the pricing options for SGLang?

SGLang offers an Enterprise plan with custom pricing.

03 How can I get pricing information for the Enterprise plan?

To get pricing information for the Enterprise plan, you need to contact SGLang's sales team.

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