Inspect vs Voyage AI

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

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionInspectVoyage AI
PricingFree (CLI tool)Contact sales (enterprise)
Primary Use CaseEntity-level code review risk triageDomain-specific embedding & reranking for RAG
DeploymentLocal CLI (no LLM required)Cloud API (SOC 2/HIPAA)
Key FeatureGraph-centric risk scoring, MCP server32K token context, low-dim embeddings
Latest News ImpactMCP server release; 83.5% HC recall on benchmarkAnnounced Voyage 4 series & multimodal model
Best ForLarge codebase CI risk triageEnterprise RAG on finance/legal docs

Choose Voyage AI if your priority is high-accuracy retrieval on domain-specific documents (finance, legal) and you need long-context, low-dimensional embeddings for cost-efficient vector storage at enterprise scale. Choose Inspect if you are an engineering team struggling with noisy code reviews and want free, local, graph-based risk triage for pull requests — especially if you already use GitHub and want to integrate with AI agents via MCP.

Inspect
Inspect

Entity-level code review for Git that scores each changed function and class by blast radius in about 6ms per commit.

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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
—
Consumption-based pricing (rates not published on page)
Popularity
7 views
7.4k views
Skill Level
Advanced
Intermediate
API Available
Platforms
CLI
WebAPI
Categories
🔎 Code Review & Quality
🗄️ Vector Databases & Retrieval
Features
Entity-level diff analysis: parses changed functions, classes, methods, structs, and enums, not just files and lines
Graph-centric risk scoring with dependents and blast radius as the primary signals
Change classification: text (comments), syntax (signatures), functional (logic), or mixed
Union-Find grouping that untangles commits mixing independent logical changes
Four-phase pipeline (Extract, Classify, Score, Group) runs fully local with 0 API calls
Optional LLM review of top entities via Anthropic, OpenAI, or any OpenAI-compatible server
Local Ollama support with no API key for air-gapped or regulated environments
MCP server (inspect-mcp crate) with 6 tools for coding agents
ReviewVerdict output with four levels: LikelyApprovable, StandardReview, RequiresReview, RequiresCarefulReview
Markdown and JSON output formats available for all commands via --format
Analysis caching keyed by repo and target so repeat runs and drill-downs skip the 4-phase pipeline
Parallel graph building for large codebases
Installable via Homebrew tap or cargo install from GitHub
Entity extraction for 21 languages including Rust, TypeScript, JavaScript, Python, Go, Java, C, C++, C#, Ruby, PHP,
inspect bench command for benchmarking entity-level review across a repo's commit history
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

What real users say: Inspect 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.

Inspect

124 mentions across 8 sources · 16% positive — critical (averaged across 8 sources)

Hacker News, YouTube, Product Hunt, App Store, Bluesky, Stack Overflow, GitHub, Lemmy

What users praise

  • • Local execution with no API calls for core triage.
  • • Entity-level diff analysis highlights structurally risky changes.
  • • Graph-centric risk scoring based on dependents and blast radius.
  • • Supports 21 languages plus 5 data formats via tree-sitter.

What frustrates them

  • • Very few direct user reviews or community discussions.
  • • App Store version has severe bugs and sync issues.
  • • No cloud version; requires local setup for CI pipelines.
  • • Core signal from dependency graph, not deep code understanding.

Researched Jul 6, 2026

Voyage AI

64 mentions across 6 sources · 54% positive — mixed (weighted across 6 sources)

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

What users praise

  • • Domain-tuned legal and finance embedders cut irrelevant docs by 25% in the Harvey case
  • • 3x-8x shorter vectors materially cut vectorDB storage and search costs
  • • rerank-2.5 instruction following lets you steer ranking behavior in plain language
  • • voyage-multimodal-3.5 handles images and text in a single retrieval pipeline

What frustrates them

  • • Default terms train on API customer data with a perpetual, irrevocable license grant
  • • Per-million-token pricing gets expensive fast for high-frequency agent RAG pipelines
  • • A small Jina model reportedly beat Voyage on retrieval in one public benchmark
  • • Open-source ecosystem still thin — Python library has only 114 GitHub stars

Researched Oct 7, 2026

Who should pick which

  • Enterprise RAG engineer
    Pick: Voyage AI

    Needs high-accuracy retrieval on domain-specific documents (e.g., legal contracts); Voyage's specialized models, 32K context, and low-dim embeddings reduce storage costs.

  • DevOps / CI engineer
    Pick: Inspect

    Wants to surface high-risk changes in large codebases without cloud dependencies; Inspect's free CLI and graph-centric scoring integrate into CI pipelines.

  • AI agent developer
    Pick: Inspect

    Inspect's new MCP server provides 6 tools for entity-level triage, enabling AI agents to prioritize code changes effectively.

  • Solo founder building a retrieval product
    Pick: Voyage AI

    Voyage's powerful embeddings can differentiate a RAG product, but pricing may be a hurdle; only if budget allows.

  • Security-conscious team
    Pick: Inspect

    Inspect runs locally with no LLM calls for core triage, ensuring sensitive code never leaves the environment.

Frequently Asked Questions

Inspect vs Voyage AI: which should you choose?

Choose Voyage AI if your priority is high-accuracy retrieval on domain-specific documents (finance, legal) and you need long-context, low-dimensional embeddings for cost-efficient vector storage at enterprise scale. Choose Inspect if you are an engineering team struggling with noisy code reviews and want free, local, graph-based risk triage for pull requests — especially if you already use GitHub and want to integrate with AI agents via MCP.

Which tool is free to use?

Inspect is completely free (CLI). Voyage AI requires contacting sales for pricing.

Can I use Voyage AI for code review?

No, Voyage AI is for embedding and reranking in RAG pipelines, not code review. Inspect is purpose-built for code review.

Does Inspect require an API key?

No, core triage runs locally with no LLM. Optional LLM review needs your own API key for Anthropic/OpenAI/etc.

Does Voyage AI support multimodal?

Yes, voyage-multimodal-3.5 was announced (latest news) for multimodal retrieval.

Which tool has better benchmarks?

Inspect recently scored 83.5% high/critical recall on Greptile benchmark (2026-06-15), beating competitors. Voyage AI benchmarks are not publicly detailed.

Can I integrate Inspect with CI/CD?

Yes, Inspect supports Git diff and PR review, and can output JSON for CI pipelines. No SaaS needed.

Does Voyage AI offer fine-tuning?

Yes, Voyage provides company-specific fine-tuned models for proprietary data.

Is Inspect suitable for small projects?

Yes, it's free and lightweight, but its strength shines in large codebases where dependency analysis matters.

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Last reviewed: July 3, 2026