mongodb
VoyageAI by MongoDB: voyage-4
mongodb/voyage-4
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to its OpenRouter catalog entry, mongodb/voyage-4 (canonical ID voyageai/voyage-4-20260727) is a text-to-embeddings model from MongoDB's VoyageAI line. The catalog describes it as a general-purpose embedding model with multilingual coverage, optimized for retrieval, search, and AI applications, with a 32,000-token context window. These are source-reported capabilities: the listing includes no benchmark results, and no independent model card was available in this source pack, so real-world performance remains unverified.[1]
Strengths
- Catalog-described general-purpose embedding model covering multilingual text, positioned for retrieval, search, and AI applications.[1]
- Accepts text input and produces embedding output, with a catalog-listed 32,000-token context window.[1]
- Carries a dated canonical identifier, voyageai/voyage-4-20260727, indicating a versioned model snapshot.[1]
Limitations
- All evidence comes from a single OpenRouter catalog entry; no independent model card was available in this source pack.[1]
- The listing reports no benchmark scores or measured performance, so capability claims are unverified and should be validated on your own data.[1]
- The catalog does not document supported parameters, a knowledge cutoff, or other configuration details.[1]
Where to use it
- Worth evaluating for semantic search and document retrieval indexing, matching the catalog's stated positioning.[1]
- A candidate to test for multilingual embedding workloads, given the catalog's claimed coverage.[1]
- Could be piloted as the embedding stage in retrieval-augmented generation pipelines, subject to workload validation.[1]
Sources
- [1] OpenRouter catalog · VoyageAI by MongoDB: voyage-4Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
voyage-4 is a general-purpose (including multilingual) embedding model optimized for retrieval/search and AI applications. voyage-4 supports embedd about voyage-4 here: [mongodb.com/products/platform/ai-search-and-retrieval/models](https://www.mongodb.com/products/platform/ai-search-and-retrieval/models?utm_source=openrouter&utm_medium=referral)
Specifications
- Model ID
- mongodb/voyage-4
- Canonical ID
- voyageai/voyage-4-20260727
- Creator
- mongodb
- Added to OpenRouter
- 27.07.2026
- Context length
- 32,000
- Modality
- text->embeddings
- Input modalities
- text
- Output modalities
- embeddings
- Token pricing
- USD per 1M tokens: in $0.060 / out $0
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | — |
| Writing | No measurement | — |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | output: embeddings |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| VoyageAI by MongoDB | 32,000 | $0.060 | $0 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.