Softwr

Cloud · head to head

Lambda vs Sourcegraph Cody

Lambda logo

Lambda

Cloud

GPU supercomputers for AI training and inference at enterprise scale

From
On request
Rated
-
Full reviewWebsite
Sourcegraph Cody logo

Sourcegraph Cody

AI

Enterprise AI coding assistant with whole-codebase context

From
$59/month
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Lambda no free tier or trial, requiring immediate commitment for testing; Sourcegraph Cody no longer available to individual developers or small teams after free and Pro tiers were discontinued in mid-2025
  • They diverge on capability: Lambda covers Superclusters, Sourcegraph Cody covers Multi-repository context.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Lambda and Sourcegraph Cody actually diverge.

Attributes where Lambda and Sourcegraph Cody differ
AttributeLambdaSourcegraph Cody
Starting priceOn request$59/month
Pricing modelPay-as-you-go hourly pricing with volume discounts for reserved capacityquote
PlatformsCloudweb, windows, mac, linux
CategoryCloudAI
Founded20122013

Identical on both: free tier (No), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Lambda

  • Superclusters
  • 1-Click Clusters
  • On-demand instances
  • Liquid cooling
  • InfiniBand networking
  • Managed orchestration
  • Co-engineering support

Only in Sourcegraph Cody

  • Multi-repository context
  • Large context window
  • Context filters
  • Model flexibility
  • IDE integration

What people use each for

The jobs each tool is most often brought in to do.

Lambda

  • Training foundation models at scale with dedicated GPU infrastructurenot Sourcegraph Cody
  • Large-scale inference serving on enterprise-grade hardwarenot Sourcegraph Cody
  • Multi-GPU distributed training with InfiniBand networkingnot Sourcegraph Cody
  • Single-tenant secure compute for regulated industriesnot Sourcegraph Cody
  • AI lab infrastructure for frontier model developmentnot Sourcegraph Cody

Sourcegraph Cody

  • Cross-repository code understanding for large engineering orgsnot Lambda
  • AI-assisted code review and refactoring at enterprise scalenot Lambda
  • Enforcing data-boundary controls when using third-party LLMsnot Lambda
  • Codebase-aware chat and autocomplete for developersnot Lambda

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Lambda

  • No free tier or trial, requiring immediate commitment for testing
  • Single-tenant Superclusters require custom pricing discussions
  • Pricing complexity across multiple GPU types and cluster sizes
  • Less suitable for experimentation or small teams with tight budgets

Sourcegraph Cody

  • No longer available to individual developers or small teams after free and Pro tiers were discontinued in mid-2025
  • Priced substantially higher than many competing AI coding assistants, with Enterprise plans typically requiring annual contracts
  • Sourcegraph has shifted its individual-developer focus to a separate product, Amp, creating uncertainty about Cody's long-term product priority
  • Requires integration with Sourcegraph's broader code intelligence platform rather than working as a lightweight standalone extension

Pricing, plan by plan

Lambda

On request
  • 1-Click Clusters B200$undefined/hourly
    • 16 GPUs: $9.86/GPU/hour
    • 256+ GPUs: $8.87/GPU/hour
    • 1-year+ reserved discounts available
  • 1-Click Clusters H100$undefined/hourly
    • 16 GPUs: $6.16/GPU/hour
    • 256+ GPUs: $5.54/GPU/hour
  • On-Demand Instances B200$undefined/hourly
    • SXM6: $6.69/GPU/hour
  • On-Demand Instances H100$undefined/hourly
    • SXM: $3.99/GPU/hour

Sourcegraph Cody

$59/month
  • Enterprise$59/month
    • Whole-codebase AI context
    • Context filters for sensitive code
    • Multi-repository analysis

Which should you pick?

Choose Lambda if

  • You need superclusters.
  • You work on Cloud.
  • You also want 1-click clusters.
Lambda review

Choose Sourcegraph Cody if

  • You need multi-repository context.
  • You work on web, windows, mac, linux.
  • You also want large context window.
Sourcegraph Cody review

Questions people ask

Is Lambda or Sourcegraph Cody better?
Neither clearly leads. Lambda starts at On request and Sourcegraph Cody at $59/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Lambda or Sourcegraph Cody?
Lambda starts at On request and Sourcegraph Cody at $59/month.
Does Lambda or Sourcegraph Cody run on more platforms?
Lambda runs on Cloud. Sourcegraph Cody runs on web, windows, mac, linux.
What is Lambda best used for?
Lambda is most often used for training foundation models at scale with dedicated gpu infrastructure, large-scale inference serving on enterprise-grade hardware, multi-gpu distributed training with infiniband networking, single-tenant secure compute for regulated industries. Of those, training foundation models at scale with dedicated gpu infrastructure and large-scale inference serving on enterprise-grade hardware are not what Sourcegraph Cody is typically brought in for.
What can Lambda do that Sourcegraph Cody cannot?
Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling. Sourcegraph Cody covers Multi-repository context, Large context window, Context filters, Model flexibility.

Answered from the vendors’ own pages

Lambda: What makes Lambda's infrastructure different?

Lambda offers single-tenant Superclusters with exclusive GPU access, liquid cooling, and NVIDIA Quantum-2 InfiniBand networking. The company is 100% focused on AI infrastructure with co-engineering support from teams who built infrastructure for major AI labs.

Source
Sourcegraph Cody: Is Sourcegraph Cody still available to individual developers?

No, as of mid-2025 Cody Free and Pro plans were discontinued; Cody is now sold only as part of Sourcegraph's Enterprise plan, which requires an annual contract.

Source
Lambda: How does pricing work for large clusters?

1-Click Clusters pricing ranges from $5.54-$9.86 per GPU/hour depending on GPU type and cluster size, with volume discounts for 256+ GPUs. Reserved capacity is available at custom pricing for 1-year+ commitments.

Source
Sourcegraph Cody: How much does Sourcegraph Enterprise cost?

Enterprise plans start around $16,000 and scale with team size and seat count, including bundled AI credits; exact pricing requires a sales quote.

Source
Lambda: Which GPU types are available?

Lambda offers NVIDIA B200, H100, A100, and Tesla V100 GPUs. Individual instances range from V100 at $0.79/hour to B200 SXM6 at $6.69/hour. Newer models like Vera Rubin are available in Superclusters.

Source
Sourcegraph Cody: How does the AI credit system work on Enterprise plans?

Each plan includes a pooled allocation of AI credits shared across the organization; credits do not expire and roll over at renewal, with volume credit add-ons available.

Source
Sourcegraph Cody: What happens if my organization exceeds its credit allocation?

Sourcegraph's pricing page addresses overage and offers additional volume credit buckets for teams that need more than their committed allocation.

Source
Sourcegraph Cody: Is a free trial available for Sourcegraph Enterprise?

Sourcegraph's pricing page lists free trial availability as one of its published FAQ topics for prospective Enterprise customers.

Source
Share

Related pages

More on Lambda

More on Sourcegraph Cody

Keep looking

Other head to heads