CodePanel

Gemini 4 Argon vs GLM-5.3 (Workers AI)

GLM-5.3 (Workers AI) reads a 26.2K-token pull request for $0.0367, 30% less than Gemini 4 Argon ($0.0524). Both sit in the mid-range price tier, so the choice between them is about review quality more than budget. The benchmark cannot separate their recall: Gemini 4 Argon minus GLM-5.3 (Workers AI) is +21 pts (95% interval +9 pts to +34 pts).

Side by side

Gemini 4 Argon and GLM-5.3 (Workers AI) side by side
FigureGemini 4 ArgonGLM-5.3 (Workers AI)
Price tierMid-rangeMid-range
Bugs caughtshare of known bugs82% (better)61%
False alarmsper clean PR1.1 (better)1.9
Cost per reviewmeasured$0.0527$0.0311 (better)
Cost per bug caught$0.0706$0.0559 (better)
Exact linecatches on the expected lines78%85% (better)
Review timemean99s65s (better)
Typical review calllist price$0.0766$0.0473 (better)
Input / 1M tokens$2.00$1.40 (better)
Output / 1M tokens$10.00$4.40 (better)
Context window1M1M

Head to head

The known bugs both were scored on, by who caught each in at least one run.

Of 42 known bugs both were scored on: Both 31Only Gemini 4 Argon 5Only GLM-5.3 (Workers AI) 5Neither 1

By language

Share of known bugs each model caught, by language
ModelAllTypeScript6 bugsGo4 bugsJava4 bugsRust4 bugsC#3 bugsJavaScript3 bugsKotlin3 bugsPHP3 bugsPython3 bugsRuby3 bugsSwift3 bugsC++2 bugsC1 bug
Gemini 4 Argon82%83%50%83%75%89%67%100%100%83%100%100%100%0%
GLM-5.3 (Workers AI)61%78%19%46%73%48%33%72%44%58%67%100%100%67%

Where they differ

Of the 42 known bugs both were scored on, both caught 31 and neither caught 1. Gemini 4 Argon caught 5 bugs that GLM-5.3 (Workers AI) missed: 1 in C#, 1 in Go, 1 in JavaScript, 1 in PHP and 1 in Ruby, most of them logic bugs. GLM-5.3 (Workers AI) caught 5 bugs that Gemini 4 Argon missed: 1 in C, 1 in Go, 1 in JavaScript, 1 in Rust and 1 in TypeScript.

On pull requests with no known bug, Gemini 4 Argon raised 1.1 false alarms per review and GLM-5.3 (Workers AI) 1.9. A measured review cost $0.0527 on Gemini 4 Argon, 70% more than $0.0311 on GLM-5.3 (Workers AI).

Each known bug, and how often each model caught it
Pull requestLanguage · kindGemini 4 ArgonGLM-5.3 (Workers AI)
dotnet/orleansfix(serialization): cap codec allocationsC# · Logic1/10/3
go-chi/chifeat: middleware.ClientIP, a replacement for middleware.RealIPGo · Security1/10/3
rails/railsReimplement Action Cable redis adapter with redis-clientRuby · Logic1/10/3
sindresorhus/p-throttleAdd `weight` optionJavaScript · Logic1/10/3
symfony/symfony[Security] Allow multiple OIDC discovery endpointsPHP · Security1/10/3
c-ares/c-aresEvent Thread could stall when not notified of new queries on existing connections that are in a bad stateC · Resource handling0/12/3
colinhacks/zodfeat(v4): parse input containing reference cyclesTypeScript · Resource handling0/11/4
golang/gocrypto/tls: add LocalCertificate to ConnectionStateGo · Logic0/11/4
nodejs/undicifeat: add configurable maxPayloadSize for WebSocketJavaScript · Security0/12/3
nushell/nushellreorganize nushell configurationRust · Error handling0/11/4

Defects caught over all runs: a PR reviewed three times with one known bug shows 3/3 when it was caught every time.

Every bug each was scored on: Gemini 4 Argon and GLM-5.3 (Workers AI).