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GLM-5.3 (Workers AI) vs GPT-OSS 120B (Workers AI)

Reading a 26.2K-token pull request costs $0.0367 on GLM-5.3 (Workers AI), 4.0× the $0.0092 it costs on GPT-OSS 120B (Workers AI). GLM-5.3 (Workers AI) is a mid-range model and GPT-OSS 120B (Workers AI) a economy one. The benchmark cannot separate their recall: GLM-5.3 (Workers AI) minus GPT-OSS 120B (Workers AI) is +21 pts (95% interval +10 pts to +32 pts).

Side by side

GLM-5.3 (Workers AI) and GPT-OSS 120B (Workers AI) side by side
FigureGLM-5.3 (Workers AI)GPT-OSS 120B (Workers AI)
Price tierMid-rangeEconomy
Bugs caughtshare of known bugs61% (better)40%
False alarmsper clean PR1.9 (better)2.5
Cost per reviewmeasured$0.0311$0.0075 (better)
Cost per bug caught$0.0559$0.0189 (better)
Exact linecatches on the expected lines85% (better)49%
Review timemean65s55s (better)
Typical review calllist price$0.0473$0.011 (better)
Input / 1M tokens$1.40$0.35 (better)
Output / 1M tokens$4.40$0.75 (better)
Context window1M128K

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 28Only GLM-5.3 (Workers AI) 8Only GPT-OSS 120B (Workers AI) 1Neither 5

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
GLM-5.3 (Workers AI)61%78%19%46%73%48%33%72%44%58%67%100%100%67%
GPT-OSS 120B (Workers AI)40%42%13%46%71%41%11%44%33%78%33%44%33%0%

Where they differ

Of the 42 known bugs both were scored on, both caught 28 and neither caught 5. GLM-5.3 (Workers AI) caught 8 bugs that GPT-OSS 120B (Workers AI) missed: 1 in C, 1 in C++, 1 in Go, 1 in JavaScript, 1 in Kotlin, 1 in Rust, 1 in Swift and 1 in TypeScript. GPT-OSS 120B (Workers AI) caught one bug that GLM-5.3 (Workers AI) missed: 1 in Go.

On pull requests with no known bug, GLM-5.3 (Workers AI) raised 1.9 false alarms per review and GPT-OSS 120B (Workers AI) 2.5. A measured review cost $0.0311 on GLM-5.3 (Workers AI), 4.1× the cost of $0.0075 on GPT-OSS 120B (Workers AI).

Each known bug, and how often each model caught it
Pull requestLanguage · kindGLM-5.3 (Workers AI)GPT-OSS 120B (Workers AI)
ggml-org/llama.cpprpc : cache and reuse compute graphsC++ · Security3/30/3
groue/GRDB.swiftDatabaseQueue and DatabaseSnapshot reads can access task localsSwift · Concurrency3/30/3
c-ares/c-aresEvent Thread could stall when not notified of new queries on existing connections that are in a bad stateC · Resource handling2/30/3
kotest/kotestFix DataClassEq comparatorKotlin · Logic2/30/3
nodejs/undicifeat: add configurable maxPayloadSize for WebSocketJavaScript · Security2/30/3
traefik/traefikAdd the option to define custom cipher suites for backend serversTransportGo · API misuse2/40/6
colinhacks/zodfeat(v4): parse input containing reference cyclesTypeScript · Resource handling1/40/6
nushell/nushellreorganize nushell configurationRust · Error handling1/40/6
go-gitea/giteaperf(gitdiff): optimize inline diff highlighting using cacheGo · Error handling0/31/3

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: GLM-5.3 (Workers AI) and GPT-OSS 120B (Workers AI).