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Deep Code vs turbopuffer

Deep Code logo

Deep Code

Developer Tools

Desktop AI coding assistant that runs on DeepSeek models

From
Free
Free plan
Yes
Visit Deep CodeFull review
turbopuffer logo

turbopuffer

Databases

Closed-source vector and full-text search service built directly on object storage, with cold queries measured in seconds rather than milliseconds.

From
$16/month
Free plan
No
Visit turbopufferFull review

The short version

  • Deep Code has a free plan, then $5/mo; turbopuffer starts at $16/mo.
  • Only Deep Code lists DeepSeek-backed agent; only turbopuffer lists object storage architecture.
  • Where Deep Code falls short: the Pro tier caps included usage at 100 Pro Credits per day rather than offering an unmetered plan.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Deep Code and turbopuffer actually diverge.

Attributes where Deep Code and turbopuffer differ
AttributeDeep Codeturbopuffer
Starting priceFree$16/month
Pricing modelFreemiumSubscription
Free tierYesNo
PlatformsWindows, macOS, LinuxWeb
CategoryDeveloper ToolsDatabases

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 Deep Code

  • DeepSeek-backed agent
  • Session management
  • File explorer
  • Snippets panel
  • Voice input
  • Bring your own key

Only in turbopuffer

  • Object storage architecture
  • Namespaces
  • Vector search
  • Full-text search
  • Attribute filtering
  • Documented limits
  • Configurable consistency
  • Durable writes

What people use each for

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

Deep Code

  • AI-assisted coding on a budgetnot turbopuffer
  • Debugging and bug fixingnot turbopuffer
  • Refactoring existing codenot turbopuffer
  • Reusing prompt templates across projectsnot turbopuffer
  • Using an existing DeepSeek API key without proxy setupnot turbopuffer

turbopuffer

  • A product with one search index per customer and thousands of customers, most of whose data is idle on any given daynot Deep Code
  • Very large corpora where holding every vector in memory is the dominant cost and occasional cold-query latency is acceptablenot Deep Code
  • Hybrid retrieval combining BM25 and vector search where running and synchronising two separate systems is the problem being solvednot Deep Code
  • Retrieval for agent and assistant products where indexes are created and destroyed frequently and per-index overhead must be near zeronot Deep Code

Where each one falls short

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

Deep Code

  • Model choice is narrow. Bring your own key covers DeepSeek-V4-Pro and Flash plus the GLM and Mimo coding plans, and no frontier model from OpenAI, Anthropic or Google
  • The Pro tier caps included usage at 100 Pro Credits per day rather than offering an unmetered plan
  • Bring your own key is a paid feature, so the free tier cannot be pointed at your own DeepSeek account
  • Desktop only, with no editor extension, web version or team seat management as of September 2026
  • A small, young vendor with no independent review coverage yet, so there is nothing outside the vendor's own site to corroborate the cost claim

turbopuffer

  • A cold namespace pays object storage latency on the first query, with a documented p90 around 1,214 ms on a million documents, so any interactive search box needs the data kept warm or the user waits about a second
  • Queries are eventually consistent by default, and after roughly 128 MiB of outstanding writes new data is invisible until indexed, which the vendor puts at tens of seconds for small namespaces and tens of minutes for large ones, so a bulk re-index is not immediately queryable
  • It is closed source with no community edition, so single-tenant or bring-your-own-cloud deployment is a commercial negotiation rather than a deployment choice, and there is no path to running it yourself if the relationship ends
  • Per-namespace ceilings, roughly 10,000 writes per second, 32 MB/s and 500 million documents per shard, mean a single enormous index has to be sharded across namespaces by your application rather than by the service
  • It is a search engine, not a database: there are no joins, no cross-document transactions and no SQL, so it sits beside a primary datastore and keeping the two in step is work that belongs to you

Pricing, plan by plan

Deep Code

Free
  • FreeFree
    • Session management
    • File explorer and snippets panel
    • Voice input
  • Pro$5/mo
    • All Free features
    • 100 daily Pro Credits
    • BYOK across DeepSeek-V4-Pro, DeepSeek-V4-Flash, GLM Coding Plan and Mimo Coding Plan

turbopuffer

$16/month
  • Launch$16/mo
    • All database features
    • Multi-tenancy deployment
    • SOC2 & GDPR-ready DPA
  • Scale$256/mo
    • Everything in Launch
    • HIPAA-ready BAA
    • Single Sign-On (SSO)
  • Enterprise$4,096/mo
    • Everything in Scale
    • Single-tenancy & BYOC deployment options
    • Private networking

Which should you pick?

Choose Deep Code if

  • You need deepseek-backed agent.
  • You want to start without paying.
  • You work on Windows, macOS, Linux.
  • You also want session management.
Deep Code review

Choose turbopuffer if

  • You need object storage architecture.
  • You also want namespaces.
turbopuffer review

Questions people ask

Is Deep Code or turbopuffer better?
Neither clearly leads. Deep Code starts at Free and turbopuffer at $16/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Deep Code or turbopuffer?
Deep Code has a free tier; the other does not. Paid plans start at Free for Deep Code and $16/month for turbopuffer.
Does Deep Code or turbopuffer run on more platforms?
Deep Code runs on Windows, macOS, Linux. turbopuffer runs on Web.
Can I use Deep Code for free?
Yes. Deep Code has a free tier, so you can try it without paying. turbopuffer starts at $16/month.
What is Deep Code best used for?
Deep Code is most often used for ai-assisted coding on a budget, debugging and bug fixing, refactoring existing code, reusing prompt templates across projects. Of those, ai-assisted coding on a budget and debugging and bug fixing are not what turbopuffer is typically brought in for.
What can Deep Code do that turbopuffer cannot?
Deep Code covers DeepSeek-backed agent, Session management, File explorer, Snippets panel. turbopuffer covers Object storage architecture, Namespaces, Vector search, Full-text search.

Answered from the vendors’ own pages

Deep Code: Which models does Deep Code run on?

DeepSeek V4 family models, with the vendor's headline built around DeepSeek V4.1. The free tier's included credits run on DeepSeek-V4-Flash. Paid users bringing their own key can also use DeepSeek-V4-Pro, the GLM Coding Plan and the Mimo Coding Plan.

Source
turbopuffer: Can I self-host turbopuffer?

There is no open source or community edition. Single-tenant and bring-your-own-cloud deployments exist as commercial arrangements, but there is no way to run it independently of the vendor.

Deep Code: What does Deep Code cost?

There are two tiers. Free is $0 per month and includes session management, the file explorer, snippets, voice input and weekly free credits on DeepSeek-V4-Flash. Pro is $5 per month and adds 100 daily Pro Credits plus bring-your-own-key support for multiple models.

Source
turbopuffer: How fast is it really?

Warm queries perform comparably to in-memory search engines. Cold queries, where data is not cached, have a documented p90 around 1,214 ms on a million documents. Write p90 is around 248 ms for a 512 KB upsert because writes go straight to object storage.

Deep Code: Do I need my own API key to use it?

No. The free tier includes weekly credits and needs no credit card, so the app works without a key. Bring your own key is available on the $5 per month Pro tier and covers DeepSeek-V4-Pro, DeepSeek-V4-Flash, the GLM Coding Plan and the Mimo Coding Plan.

Source
turbopuffer: Is it consistent?

Eventually consistent by default, with the vendor reporting that over 99.8% of queries return consistent data. Strong consistency can be requested per query at a latency cost. Large write bursts have a longer visibility delay while indexing catches up.

Deep Code: Which operating systems does it run on?

Windows, macOS and Linux. It is a desktop application rather than an editor extension, so it runs alongside whatever editor you already use.

Source
turbopuffer: What is it best at?

Large numbers of namespaces where most are idle. The architecture makes cold data cheap to keep, which is exactly the shape of a multi-tenant product with a long tail of inactive customers.

Deep Code: Is the 95 percent cheaper claim independently verified?

No. It is the vendor's own figure, based on DeepSeek token pricing against frontier model pricing. Actual savings depend on which model you compare against and how much of your usage falls inside the included credits.

Source
turbopuffer: What are the hard limits?

Up to 128 billion documents and 256 TB per namespace, 500 million documents per shard, 64 MiB per document, 10,752 dense vector dimensions, roughly 10,000 writes per second per namespace and a maximum result set of 10,000.

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