Codecov vs Algolia Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

Codecov Algolia
Starts at $5/mo Custom
Number of plans 4 4
Free plan
Free trial
Pricing model per-seat hybrid

Developer

$0/mo
  • Codecov Cloud
  • PR Comments
  • Status Checks
  • API Access
  • Patch Coverage
  • Project Coverage
  • Flags
  • Components
  • Carryforward Flags
  • Bundle Size Detection
  • Failed Test Reporting
  • Slack
  • Sentry
  • Cloud GitHub, GitLab, Bitbucket

Team

$5/mo
  • Codecov Cloud
  • PR Comments
  • Status Checks
  • API Access
  • Patch Coverage
  • Project Coverage
  • Flags
  • Components
  • Carryforward Flags
  • Faster Processing
  • Bundle Size Detection
  • Bundle Size Trends
  • Failed Test Reporting
  • Flaky Test Detection
  • Slack
  • Sentry
  • Cloud GitHub, GitLab, Bitbucket
  • Email

Pro

Popular
$12/mo
  • Codecov Cloud
  • PR Comments
  • Status Checks
  • API Access
  • Patch Coverage
  • Project Coverage
  • Flags
  • Components
  • Carryforward Flags
  • Faster Processing
  • Bundle Size Detection
  • Bundle Size Trends
  • Failed Test Reporting
  • Flaky Test Detection
  • Slack
  • Sentry
  • Cloud GitHub, GitLab, Bitbucket
  • SOC2 Report
  • Email

Enterprise

Custom
  • Codecov Cloud
  • Dedicated Cloud
  • PR Comments
  • Status Checks
  • API Access
  • Patch Coverage
  • Project Coverage
  • Flags
  • Components
  • Carryforward Flags
  • Faster Processing
  • Bundle Size Detection
  • Bundle Size Trends
  • Failed Test Reporting
  • Flaky Test Detection
  • Slack
  • Sentry
  • On-prem GitHub, GitLab, Bitbucket
  • Cloud GitHub, GitLab, Bitbucket
  • SAML*
  • OKTA login
  • SOC2 Report
  • SOC3
  • Dedicated IP Allowlisting
  • Email
  • Customer Success Manager
  • Sr. Solutions Architect
  • Dedicated Onboarding Support
  • Legal Attention
  • Beta Access
  • Dedicated Account Team
  • Multi-Org Billing

Elevate

Custom
  • Volume-based discounts
  • Custom search requests and records
  • NeuralSearch
  • AI Collections
  • Smart Groups
  • Real-time personalization
  • 99.99% availability
  • Access to SSO and enhanced SLA
  • Access to enterprise-level Support plans
  • Professional services available

Grow Plus

Custom
  • 10K search requests /month included then $1.75 per additional 1K search requests
  • 100K records included then $0.40 per additional 1K records
  • Rules: 10,000/index
  • AI Synonyms
  • AI Ranking
  • Advanced Personalization
  • Query Categorization
  • Collections
  • 90 days analytics retention

Grow

Custom
  • 10K search requests /month included then $0.50 per additional 1K search requests
  • 100K records included then $0.40 per additional 1K records
  • Keyword Search + Browse
  • Query suggestions
  • Rules: 10/index
  • Manual synonyms
  • Data transformation
  • 30 days analytics retention
  • Third party integrations + connectors
  • US, UK, EU hosting locations

Free

$0/mo
  • 10K search requests/month
  • 50K records included
  • 5K recommendation requests/month
  • 5K crawls/month

Codecov vs Algolia FAQ

Which one is cheaper?
One or both use custom pricing, so it depends on your specific needs.
Can I use either one for free?
Both offer free plans, so you can try each without paying. Start with whichever fits your workflow better and upgrade when you hit the limits.
How do they charge?
Different approach here. Codecov uses per-seat pricing, while Algolia goes with hybrid. That changes the math depending on your team size and usage.
Which one is a better deal?
Depends on what you need. Codecov: At $5-12 per seat, Codecov sits in the accessible-to-mid-market range for dev tooling — cheap enough that it's a rounding error on an eng budget, but not so cheap it feels like a toy. They're clearly optimizing for land-and-expand: hook teams with the free tier, then ride seat growth as the org scales rather than competing on being the cheapest coverage tool out there. Algolia: Algolia sits toward the premium end of the search-as-a-service category — it's not competing with cheap open-source alternatives like Elasticsearch on cost, it's competing on speed and developer experience. They're clearly chasing product teams who'll pay more for a polished, low-latency search API rather than budget-conscious teams willing to self-host.

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