Mira vs Voyage AI

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

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionMiraVoyage AI
PricingFree (open-source, self-hosted)Contact us (pay-as-you-go or enterprise contract)
Primary FunctionAI code reviewer for GitHub PRsEmbedding models & rerankers for RAG
DeploymentSelf-hosted (Docker, SQLite/PostgreSQL)Cloud API
Target UsersEngineering teams (privacy-conscious, cost-aware)Enterprise RAG teams
Data ControlFull control on own infrastructureData sent to Voyage API (SOC 2, HIPAA compliant)
CustomizationCustom per-repo rules, global rules, any LLM via OpenRouterFine-tuning available for enterprise

Choose Voyage AI if your priority is building a high-accuracy RAG pipeline with domain-specialized embeddings and rerankers, and you have budget for enterprise pricing. Choose Mira if you need a free, self-hosted AI code reviewer with full privacy, customizable rules, and the flexibility to use any LLM. They solve entirely different problems, so your decision hinges on whether you need retrieval or code review.

Mira
Mira

Mira is a self-hosted, open-source AI code reviewer that indexes your whole repo and reviews pull requests with the LLM of your choice.

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Voyage AI
Voyage AI

Voyage AI delivers domain-tuned embedding models and rerankers for high-precision RAG retrieval

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Pricing
Free
Paid
Plans
$0/mo
Consumption-based pricing (rates not published on page)
Popularity
14 views
7.4k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPI
WebAPI
Categories
🔎 Code Review & Quality🔐 Application & Code Security
🗄️ Vector Databases & Retrieval
Features
Full-repository indexing so every pull request review runs against whole-project context
Inline PR comments with severity sorting and confidence scoring
PR walkthroughs with Mermaid sequence diagrams
Blast-radius reporting with in-repo callers and cross-repo dependents
Cross-PR overlap detection for merge-conflict risk and duplicate effort
Deduplication of findings across chunks and files, plus per-PR comment caps
GitHub suggestion blocks for one-click applied fixes
Per-repo and global review rules defined in .mira.yaml
Learning loop that synthesizes rules from rejected comments and quarantines new ones
Layered security review with a dedicated security-model tier
Optional agentic read_file and grep_repo verification on indexed repositories
Deterministic regex-and-entropy secrets scan
Review-time OSV dependency checks plus OSV scanning tied to the codebase index
Org-wide package search across repositories
Optional AI-generated PR-description summaries
General-purpose embedding models including voyage-3.5 and voyage-3.5 lite
Domain-specific embedding models optimized for finance, legal, and code
Company-specific fine-tuned embedding models on proprietary data
Voyage 4 model series for improved retrieval quality
voyage-multimodal-3.5 embeds images and text in one retrieval pipeline
Low-dimensional embeddings (3x-8x shorter vectors) cut storage and search costs
32K-token long-context support for embedding long documents
rerank-2.5 and rerank-2.5-lite add instruction-following to ranking
voyage-context-3 keeps chunk-level detail with global document context
Batch API for large-scale embedding workloads
4x smaller model with faster inference and superior accuracy
2x cheaper inference with superior accuracy
Plug-and-play with any vectorDB and any LLM
SOC 2 and HIPAA compliance
Deploy on major clouds, in-VPC customer tenants, or on-premise with model licensing
Integrations
GitHub
GitLab
Forgejo
Codeberg
OpenRouter
Anthropic
OpenAI
Google
DeepSeek
Codex CLI
Docker
PostgreSQL
Railway
Fly.io
Render

What real users say: Mira vs Voyage AI

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Mira

86 mentions across 6 sources · 40% positive — mixed (averaged across 6 sources)

Hacker News, YouTube, Product Hunt, App Store, GitHub, Lemmy

What users praise

  • • Full-repo indexing gives project-wide context, not just a diff.
  • • Bring-your-own-LLM: pay providers directly, no markup.
  • • Fully open-source and self-hosted; complete data control.
  • • Severity and confidence scoring helps triage review comments.

What frustrates them

  • • Setup requires Docker and DevOps knowledge; not turnkey.
  • • Documentation is sparse for advanced setups like Postgres.
  • • GitHub Actions integration requires manual webhook setup.
  • • Learning loop's quarantine can hide valid findings.

Researched Aug 27, 2026

Voyage AI

64 mentions across 6 sources · 45% positive — mixed (weighted across 6 sources)

Hacker News, YouTube, App Store, Stack Overflow, GitHub, Lemmy

What users praise

  • • Domain-tuned embedders for finance, legal, and code deliver measurable retrieval precision gains
  • • Harvey case study showed 25% fewer irrelevant documents and 3x lower vectorDB costs
  • • Low-dimensional embeddings (3x-8x shorter vectors) cut storage and search costs materially
  • • Instruction-following rerank-2.5 and rerank-2.5-lite let you steer ranking behavior in plain language

What frustrates them

  • • Terms grant Voyage an irrevocable license to train on API customer data by default
  • • Usage-based pricing at $0.12-$0.18 per million tokens can balloon for high-frequency agents
  • • A community benchmarker found a small Jina model outperformed Voyage for their use case
  • • Circular import bug in voyageai v0.3.5 broke lazy import systems before being fixed

Researched Oct 14, 2026

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

Mira vs Voyage AI: which should you choose?

Choose Voyage AI if your priority is building a high-accuracy RAG pipeline with domain-specialized embeddings and rerankers, and you have budget for enterprise pricing. Choose Mira if you need a free, self-hosted AI code reviewer with full privacy, customizable rules, and the flexibility to use any LLM. They solve entirely different problems, so your decision hinges on whether you need retrieval or code review.

Which tool is better for RAG pipelines?

Voyage AI is purpose-built for RAG with domain-optimized embeddings, rerankers, and long context. Mira is a code reviewer and not suitable for RAG.

Can I use Mira for code review outside of GitHub?

No, Mira currently only supports GitHub. The documentation does not mention GitLab or Bitbucket integration.

Is Voyage AI free to try?

Voyage AI requires contacting sales for pricing and access. There is no free trial mentioned in the facts.

Does Mira support any LLM?

Yes. Mira uses OpenRouter and supports Anthropic, OpenAI, Google, DeepSeek, MiniMax, and any model available through OpenRouter. You can also configure custom models via MIRA_MODELS_JSON_PATH (v0.3.1).

Which tool offers better data privacy?

Mira, because it is self-hosted and open-source. Your code never leaves your infrastructure. Voyage AI is cloud-based but SOC 2 and HIPAA compliant.

Can Voyage AI generate code reviews?

No, Voyage AI is an embedding and reranking API, not a code review tool. Use Mira for code reviews.

Are there any recent updates to Mira's pricing?

No, Mira remains free and open-source. The latest news (v0.4.0, v0.3.0, v0.3.1) does not introduce any paid features.

Does Voyage AI have a multimodal model?

Yes, Voyage AI announced voyage-multimodal-3.5, enabling retrieval across text and images. This is in addition to their text embedding models.

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Last reviewed: July 3, 2026