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HomeCompareInspect vs Voyage AI

Inspect vs Voyage AI

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

Live tool data as of 2026-07-06
Reviewed by our team on 2026-07-03
Saved

At a glance

DimensionInspectVoyage AI
Pricingfree · from Free $0/mocontact
Best forEngineering teams with large, complex codebases needing to surface high-risk changes, DevOps engineers embedding structural risk signals into CI pipelinesRAG pipelines needing high-accuracy retrieval on finance or legal documents, Enterprises needing long-context embeddings (32K tokens)
Standout featuresEntity-level diff analysis highlighting structurally risky changes · Graph-centric risk scoring based on dependents and blast radius · Change classification (text, syntax, functional) using ConGra taxonomyEmbedding models: voyage-3.5 and voyage-3.5 lite · Domain-specific models for finance, legal, code · Company-specific fine-tuned models
Viability score69/10075/100
APIYesYes

Inspect is the stronger pick for engineering teams with large, complex codebases needing to surface high-risk changes; Voyage AI fits better for rag pipelines needing high-accuracy retrieval on finance or legal documents.

Built from live tool data, last verified 2026-07-06.

Inspect
Inspect

Entity-level Git code review using graph-based risk scoring, running locally.

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Voyage AI
Voyage AI

Domain-specialized embedding models and rerankers for enterprise RAG pipelines.

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Pricing
Free
Contact Sales
Plans
$0/mo
—
Popularity
0 views
7.4k views
Skill Level
Advanced
Intermediate
API Available
Platforms
CLI
API
Categories
💻 Code & Development⚙️ Developer Infrastructure
⚙️ Developer Infrastructure
Features
Entity-level diff analysis highlighting structurally risky changes
Graph-centric risk scoring based on dependents and blast radius
Change classification (text, syntax, functional) using ConGra taxonomy
Local execution with no LLM or API calls required for core triage
Optional LLM review via `inspect review` (Anthropic, OpenAI, Ollama, any OpenAI-compatible server)
Supports 21 programming languages plus 5 data formats via sem-core and tree-sitter
MCP server with 6 tools for AI-agent integration (inspect_triage, inspect_entity, etc.)
Parallel graph building for large codebase support (e.g., Sentry: 40s → 4s)
Supports Git diff, PR review, single file review, and repo-wide benchmark
Multiple output formats: terminal, JSON, markdown
No database required; stateless per commit
95% recall on planted bugs benchmark (141 bugs, 52 PRs, 5 repos)
83.5% high/critical recall on Greptile benchmark
Four-phase pipeline: Extract, Classify, Score, Group
Untangles tangled commits via Union-Find on dependency edges
Embedding models: voyage-3.5 and voyage-3.5 lite
Domain-specific models for finance, legal, code
Company-specific fine-tuned models
Long-context support up to 32K tokens
Low-dimensional embeddings (3x-8x shorter vectors)
Low-latency inference (4x smaller model)
Reranker models rerank-2.5 and rerank-2.5-lite
Instruction following for reranker models
Batch API for large-scale workloads
Multimodal model voyage-multimodal-3.5
Voyage 4 model series
Voyage-context-3 for chunk-level details with global context
Modular: works with any vector DB and LLM
SOC 2 and HIPAA compliant
Cost-efficient: 2x cheaper inference than prior models
Integrations
GitHub
Anthropic
OpenAI
Ollama
vLLM
LM Studio
llama.cpp

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

Which is better, Inspect or Voyage AI?

The best choice between Inspect 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 Inspect 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 Inspect 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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Explore each tool further

Inspect
View Inspect reviewInspect alternatives
Voyage AI
View Voyage AI reviewVoyage AI alternatives

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