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Benzi vs CodeGraph
6 repos · 1 run/arm · Claude Sonnet 5 · repos, questions, and methodology from CodeGraph's own published benchmark →
Each AI review below was prompted from a new chat on a new account — no shared context between them.
Gemini's read

Benzi Product comes out on top (9.6/10), followed by Bare CC (8.8), Benzi MCP (8.4), and CodeGraph (8.1).

Overview & comparative ranking

RankArmScoreCore answer quality profile
1Benzi Product9.6Unmatched technical depth, architectural insights, edge-case coverage, and structural visualizations (flowcharts/tables).
2Bare CC8.8Exceptionally precise, concise line-by-line tracing, high citation accuracy, and immediate zero-fluff code mechanics.
3Benzi MCP8.4Strong overall structure, clear stage-by-stage breakdowns, and reliable coverage of core mechanisms.
4CodeGraph8.1Highly readable, great code snippets and summaries, but slightly less granular on deep runtime invariants.
DeepSeek's read

Benzi Product comes out on top (9.1/10), followed by Bare CC (8.9), Benzi MCP (8.5), and CodeGraph (8.2).

Overall average and ranking

RankArmRatingWhy
1Benzi Product9.1 / 10Most complete and precise overall. Usually gives the deepest mechanism-level explanation, strong line refs, and useful architectural caveats. If you ignore its meta preambles, the actual answers are the best.
2Bare CC8.9 / 10Very clean, direct, accurate, and well-structured. Often nearly as good as Benzi Product with less verbosity. Minor factual slip: in Gin it says abortIndex is 127, but it's math.MaxInt8 >> 1 = 63.
3Benzi MCP8.5 / 10Accurate, well-organized, good line refs and flow descriptions. Usually slightly less exhaustive than the top two, but rarely wrong.
4CodeGraph8.2 / 10Concise and accurate. Good for quick, readable explanations, but often misses some depth/nuance that the top arms include.
Claude's read

Benzi Product comes out on top (avg 8.7). CodeGraph and Benzi MCP tie at 7.8, and Bare CC is last at 7.6.

Score by repo

RepoBare CCCodeGraphBenzi MCPBenzi Product
gin6.57.57.59
alamofire98.587
okhttp787.59.5
excalidraw7.57.589
tokio8.57.589
django787.58.5
Average7.67.87.88.7
ChatGPT's read

Benzi Product comes out on top (9.73/10 avg), followed by Benzi MCP (9.15), CodeGraph (9.10), and Bare CC (8.97).

Per-repo ranking

Repo🥇🥈🥉4th
GinBenzi Product — 9.8Benzi MCP — 7.7CodeGraph — 7.6Bare CC — 7.4
AlamofireBare CC — 9.6Benzi Product — 9.5Benzi MCP — 9.4CodeGraph — 9.0
OkHttpBenzi Product — 9.8CodeGraph — 9.7Bare CC — 9.3Benzi MCP — 9.2
ExcalidrawBenzi Product — 9.8CodeGraph — 9.5Benzi MCP — 9.4Bare CC — 9.1
TokioBenzi Product — 9.8Benzi MCP — 9.7Bare CC — 9.4CodeGraph — 9.0
DjangoCodeGraph — 9.8Benzi Product — 9.7Benzi MCP — 9.5Bare CC — 9.0
AverageBenzi Product — 9.73Benzi MCP — 9.15CodeGraph — 9.10Bare CC — 8.97

Bare CC is Claude Code, Sonnet 5. CodeGraph is bare CC + CodeGraph MCP. Benzi MCP is bare CC + Benzi MCP. Benzi Product is Benzi's own standalone agentic loop (running on Claude Sonnet 5 as well, but no Claude Code). Benchmark methodology replicated from CodeGraph's own published benchmarks: github.com/colbymchenry/codegraph

$0.2337
Bare CC
$0.1985
CodeGraph
$0.2698
Benzi MCP
$0.5369
Benzi Product

Our read: we've already shown Benzi is considerably cheaper (2x) and faster (40%) than bare Claude Code on bug-fixing tasks (click here). Code intelligence cutting the cost of localizing and fixing a bug, while raising the cost of an open-ended architectural question, tracks with intuition — the same tools that shortcut a targeted fix invite more exploration on a broad "how does this work" question. Benzi's answers also generally cover more depth, or connect systems that bare Claude Code and Claude Code with CodeGraph as an MCP tool miss.