Titan Text Embeddings V2
- input
- $0.02
- output
- $0.00
- Context
- 32Ktokens
- Listed
- 3mo ago
Cost/1M tokens
Voyage-4-lite is a text embedding model from VoyageAI by MongoDB, a member of the new Voyage 4 series that also includes voyage-4-large, voyage-4, and the open-weights voyage-4-nano. MongoDB's launch announcement says the series sets a new standard for retrieval accuracy in production AI applications, and positions voyage-4-lite as the member tuned for lower latency and cost. It is built for retrieval workloads, and all Voyage 4 models share a compatible embedding space so different series members can embed documents and queries.
How it compares
Frequently asked questions
API and pricing
voyage-4-lite costs $0.02 per 1M input tokens and $0.00 per 1M output tokens. The listed price is tracked across 1 paid provider.
A typical request costs $0.0002 at the cheapest provider, VoyageAI by MongoDB. This assumes 10,000 input tokens and 1,000 output tokens.
Yes, all 1 endpoint with uptime data last day ran at 99% uptime or better. The best uptime last day was 100.0%, by VoyageAI by MongoDB.
Capabilities and specs
The context window of voyage-4-lite is 32K tokens (32,000). Its maximum output is 29K tokens (28,800).
No. Its only listed input modality is text, so it cannot read images, audio, video or PDFs.
Quality and benchmarks
Matched on model kind, blended price and release date, alternatives include Titan Text Embeddings V2 by Amazon at $0.015 per 1M tokens, Embed V1 4B by Perplexity at $0.0225 per 1M tokens, and Qwen3 Embedding 4B by Qwen at $0.015 per 1M tokens.
Titan Text Embeddings V2voyage-4-lite vs Titan Text Embeddings V2Embed V1 4Bvoyage-4-lite vs Embed V1 4BQwen3 Embedding 4Bvoyage-4-lite vs Qwen3 Embedding 4B
Basics
voyage-4-lite was made by VoyageAI by MongoDB. It was first listed on OpenRouter on July 27, 2026.
No, it is not free to use. The listed API price is $0.02 input and $0.00 output per 1M tokens, and its openness is listed as unknown.
Generated from Vertical Tabs data, updated November 3, 2026.
Discussion
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