Lmql vs Voyage AI

Side-by-side comparison of features, pricing, and ratings

Live tool data as of 2026-07-17
Reviewed by our team on
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At a glance

DimensionLmqlVoyage AI
Pricingfreecontact
Best forDevelopers building structured LLM pipelines, Researchers experimenting with constrained generationEnterprise RAG pipelines needing high-accuracy retrieval on finance or legal documents, Teams requiring long-context embeddings (32K tokens) for thorough document understanding
Standout featuresConstrained text generation (len, regex, token-level masks) · Scripted prompting with Python control flow (loops, branching) · Nested queries for modular prompt programmingEmbedding models: voyage-3.5 and voyage-3.5 lite · Domain-specific models for finance, legal, and code · Company-specific fine-tuned models
Viability score69/10075/100
APIYesYes

Lmql is the stronger pick for developers building structured llm pipelines; Voyage AI fits better for enterprise rag pipelines needing high-accuracy retrieval on finance or legal documents.

Built from live tool data, last verified 2026-07-17.

Lmql
Lmql

A language for constraint-guided and efficient LLM programming.

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Voyage AI
Voyage AI

Domain-specialized embedding models and rerankers for enterprise RAG.

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Pricing
Free
Contact Sales
Plans
Popularity
1 views
7.4k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebCLIAPI
API
Categories
💻 Code & Development⚙️ Developer Infrastructure
⚙️ Developer Infrastructure
Features
Constrained text generation (len, regex, token-level masks)
Scripted prompting with Python control flow (loops, branching)
Nested queries for modular prompt programming
Typed variables for guaranteed output format (int, regex)
Multi-backend support: OpenAI, Transformers, llama.cpp, Azure, Replicate
Batch generation via Generations API
Chat API for conversational agents
Decoding algorithms: argmax, sample, beam, best_k
Output streaming
Inference certificates for verification
Python integration (decorators, library calls)
LangChain and LlamaIndex integrations
Embedding models: voyage-3.5 and voyage-3.5 lite
Domain-specific models for finance, legal, and code
Company-specific fine-tuned models
Voyage 4 model series (newly announced)
Multimodal model: voyage-multimodal-3.5
Long-context support up to 32K tokens
Low-dimensional embeddings (3x-8x shorter vectors)
Reranker models: rerank-2.5 and rerank-2.5-lite
Instruction following for reranker models
Batch API for large-scale workloads
Voyage-context-3: chunk-level details with global context
Low-latency inference (4x smaller model)
SOC 2 and HIPAA compliance
Modular: works with any vector DB and LLM
Integrations
OpenAI
Hugging Face Transformers
llama.cpp
Azure OpenAI
Replicate
LangChain
LlamaIndex
Pandas

Who should pick which

  • Enterprise RAG developer
    Pick: Voyage AI

    Voyage AI provides domain-specific embeddings (finance, legal) and rerankers that improve retrieval accuracy, with SOC 2/HIPAA compliance suitable for enterprise.

  • LLM application developer
    Pick: Lmql

    LMQL offers a free, open-source language for constrained generation, multi-backend support, and Python integration, ideal for building structured outputs.

  • Researcher in constrained generation
    Pick: Lmql

    LMQL’s token-level constraints and control flow are perfect for experiments, with all code transparent and modifiable.

  • Solo developer prototyping RAG
    Pick: Lmql

    LMQL is free and can work with local models via llama.cpp, avoiding API costs, while Voyage AI’s enterprise pricing may be prohibitive.

  • Team needing low-dimensional embeddings for cost savings
    Pick: Voyage AI

    Voyage AI’s 3x-8x shorter vectors reduce vector storage and retrieval costs, beneficial for large-scale RAG systems.

Frequently Asked Questions

Which is better, Lmql or Voyage AI?

The best choice between Lmql and Voyage AI depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between Lmql and Voyage AI?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of Lmql or Voyage AI?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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