Mira 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

DimensionMiraVoyage AI
Pricingfree · from Self-Hosted $0/mocontact
Best forEngineering teams wanting cost-effective AI code review with full data control, Privacy-conscious organizations that cannot send code to third-party APIsEnterprise RAG pipelines needing high-accuracy retrieval on finance or legal documents, Teams requiring long-context embeddings (32K tokens) for thorough document understanding
Standout featuresSelf-hosted AI code review for GitHub pull requests · Full-repo indexing for context-aware diff review · Inline comments with severity and confidence scoresEmbedding models: voyage-3.5 and voyage-3.5 lite · Domain-specific models for finance, legal, and code · Company-specific fine-tuned models
Viability score87/10075/100
APIYesYes

Mira is the stronger pick for engineering teams wanting cost-effective ai code review with full data control; 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.

Mira
Mira

Self-hosted, open-source AI code reviewer that indexes your full repo and learns your team's rules.

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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
$0/mo
Popularity
2 views
7.4k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
Web
API
Categories
💻 Code & Development⚙️ Developer Infrastructure
⚙️ Developer Infrastructure
Features
Self-hosted AI code review for GitHub pull requests
Full-repo indexing for context-aware diff review
Inline comments with severity and confidence scores
PR walkthrough summary with Mermaid sequence diagram
Parallel chunk review for large diffs
Deduplication of comments across chunks and files
GitHub suggestion blocks for one-click fixes
Vulnerability scanning via OSV.dev poll
Custom per-repo and global rules with CRUD
Org-wide package search with lockfile-aware dedupe
Dependency graph with cross-repo relationships
Blast-radius analysis for symbol changes
Learning loop from rejected comments and merged PRs
Outbound webhooks for Slack, Teams, and generic endpoints
Extended reasoning budget for reviews (off/low/medium/high/max)
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
GitHub
OpenRouter
Anthropic
OpenAI
Google
DeepSeek
MiniMax
Slack
Microsoft Teams
Docker
SQLite
PostgreSQL
Railway
Fly.io
Render

Who should pick which

  • Enterprise RAG developer
    Pick: Voyage AI

    Voyage AI offers domain-specialized embeddings (finance, legal, code) and 32K token context, essential for high-accuracy retrieval on complex documents. Enterprise compliance (SOC 2, HIPAA) and low-dimensional embeddings reduce storage costs.

  • Privacy-conscious engineering lead
    Pick: Mira

    Mira is self-hosted and open-source, so no code leaves your infrastructure. You can use any LLM (including local ones) and customize review rules. Latest news confirms full control with no paid tier.

  • Startup building an MVP with RAG
    Pick: Mira

    Voyage AI requires sales calls and has opaque pricing. Mira is free and easy to set up for code review, but for RAG you might consider other free embedding APIs. If your startup has budget, Voyage AI could work, but it's not ideal for tight budgets.

  • GitHub team wanting automated PR reviews
    Pick: Mira

    Mira integrates directly as a GitHub App, indexes your full repo, and uses any LLM. Features like inline comments, severity scores, and one-click suggestions reduce manual review. Latest v0.3.1 adds review thinking mode for adjustable depth.

  • Data scientist needing multimodal embeddings
    Pick: Voyage AI

    Voyage AI announced voyage-multimodal-3.5, enabling retrieval across text and images. No comparable feature in Mira, which is purely code-focused.

Frequently Asked Questions

Which is better, Mira or Voyage AI?

The best choice between Mira 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 Mira 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 Mira 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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