Pricing ↗

Documentation Index#

Fetch the complete documentation index at: https://docs.trychroma.com/llms.txt Use this file to discover all available pages before exploring further.

Chroma Cloud uses a simple, transparent, usage-based pricing model. You pay for what you use across writes, reads, and storage-with no hidden fees or tiered feature gating.

Need an estimate? Try our pricing calculator.

Writes#

Chroma Cloud charges $2.50 per logical GiB written via an add, update, or upsert.

• A logical GiB is the raw, uncompressed size of the data you send to Chroma-regardless of how it’s stored or indexed internally.
• You are only billed once per write, not for background compactions or reindexing.

Forking#

• Forking a collection costs $0.03 per fork request.
• Forks are copy-on-write. You only pay for incremental storage written after the fork; unchanged data remains shared.
• Forking is available on Chroma Cloud. Learn more on the Collection Forking page.

Reads#

Read costs are based on both the amount of data queried and the volume of data returned:

• $0.0075 per TiB queried
• $0.09 per GiB returned

How queries are counted:

• A single vector similarity query counts as one query.
• Each metadata or full-text predicate in a query counts as an additional query.
• Full-text and regex filters are billed as (N - 2) queries, where N is the number of characters in the search string.

Example:

collection.query(
   query_embeddings=[[1.0, 2.3, 1.1, ...]],
   where_document={"$contains": "hello world"}
)

await collection.query({
    queryEmbeddings: [[1.0, 2.3, 1.1, ...]],
    whereDocument: { "$contains": "hello world" }
});

use chroma::types::{Key, QueryVector, RankExpr, SearchPayload};

let search = SearchPayload::default()
    .r#where(Key::Document.contains("hello world"))
    .rank(RankExpr::Knn {
        query: QueryVector::Dense(vec![1.0, 2.3, 1.1]),
        key: Key::Embedding,
        limit: 10,
        default: None,
        return_rank: false,
    })
    .limit(Some(10), 0);

let results = collection.search(vec![search]).await?;

For the query above (a single vector search and a 10-character full-text search), querying against 10 GiB of data incurs:

• 10,000 queries × 10 units (1 vector + 9 full-text) = 100,000 query units
• 10 GiB = 0.01 TiB scanned → 100,000 × 0.01 TiB × $0.0075 = **$7.50**

Storage#

Storage is billed at $0.33 per GiB per month, prorated by the hour:

• Storage usage is measured in GiB-hours to account for fluctuations over time.
• Storage is billed based on the logical amount of data written.
• All caching, including SSD caches used internally by Chroma, are not billed to you.

Frequently Asked Questions#