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Favicon for mongodb

VoyageAI by MongoDB: rerank-2.5

mongodb/rerank-2.5

rerank-2.5 is a cutting-edge reranker optimized for quality, delivering a 7.94% improvement in retrieval accuracy over Cohere Rerank v3.5 across 93 datasets. It also outperformed Cohere Rerank v3.5 by 12.70% on the Massive Instructed Retrieval Benchmark (MAIR). The model supports a combined context length of 32K tokens per query–document pair, including up to 8K tokens for the query, enabling more accurate retrieval over longer documents. Additionally, rerank-2.5 supports instruction following, allowingbout rerank-2.5 here: mongodb.com/products/platform/ai-search-and-retrieval/modelsOpens in new tab

Modalities
Price
$0.05/M tokens
Context
32K
Released
Jul 27, 2026
ProvidersPricingPerformanceUptimeAppsActivityFAQExplore

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Not currently available through EU in-region routing. In-region routing docs

Explore more models

Best Rerank Models for Search and RAGCollectionRerank Model RankingsRanking
Latency
$0.050.17s
100.00%
ProviderInput /M
LatencyUptime
  • Favicon for VoyageAI by MongoDB
    Input $0.05
    Latency 0.17sUptime 100.00%
Latency
0.17s

P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.99%

Availability over the last 3 days

Last 72 hours
Availability 99.99%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.99%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

1.
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opencase-api
new
62Btokens
2.
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pt-caselaw-dgsi
new
2.36Btokens
3.
Favicon for https://studypdf.net/
StudyPDF
new
2.28Btokens
4.
Favicon for https://lucenta.local/
Lucenta
new
597Mtokens
5.
Favicon for https://tryagentos.net/
AgentOS
new
198Mtokens
Top 5 Apps
1.47B
Rest of OpenRouter
1.44B

Frequently asked questions

rerank-2.5 is a cutting-edge reranker optimized for quality, delivering a 7.94% improvement in retrieval accuracy over Cohere Rerank v3.5 across 93 datasets. It also outperformed Cohere Rerank v3.5 by 12.70% on the Massive Instructed Retrieval Benchmark (MAIR).

rerank-2.5 costs $0.05/M input tokens.

rerank-2.5 accepts up to 32,000 tokens per query and document. Longer text has to be split into multiple documents.

rerank-2.5 accepts text as input and returns relevance-ranked documents.

rerank-3-lite, rerank-3, and rerank-2.5-lite are other reranking models from MongoDB.

rerank-2.5 was released on July 27, 2026.