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GLM-5.3 Flash (Workers AI) vs Kimi K2.7 Code (Workers AI)

Reading a 26.2K-token pull request costs $0.0249 on Kimi K2.7 Code (Workers AI), 6.3× the $0.0039 it costs on GLM-5.3 Flash (Workers AI). GLM-5.3 Flash (Workers AI) is a economy model and Kimi K2.7 Code (Workers AI) a mid-range one. In the benchmark GLM-5.3 Flash (Workers AI) caught 23 percentage points more of the known defects than Kimi K2.7 Code (Workers AI) (95% interval +11 pts to +35 pts, a − b).

Side by side

GLM-5.3 Flash (Workers AI) and Kimi K2.7 Code (Workers AI) side by side
FigureGLM-5.3 Flash (Workers AI)Kimi K2.7 Code (Workers AI)
Price tierEconomyMid-range
Bugs caughtshare of known bugs61% (better)38%
False alarmsper clean PR1.8 (better)2.6
Cost per reviewmeasured$0.0035 (better)$0.0567
Cost per bug caught$0.0066 (better)$0.0805
Exact linecatches on the expected lines89% (better)79%
Review timemean254s (better)610s
Typical review calllist price$0.0051 (better)$0.0346
Input / 1M tokens$0.15 (better)$0.95
Output / 1M tokens$0.50 (better)$4.00
Context window1M262.1K

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 Flash (Workers AI) 7Only Kimi K2.7 Code (Workers AI) 5Neither 2

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 Flash (Workers AI)61%57%31%45%88%30%67%89%33%78%67%67%100%67%
Kimi K2.7 Code (Workers AI)38%75%26%31%46%19%8%14%42%62%33%46%6%40%

Where they differ

Of the 42 known bugs both were scored on, both caught 28 and neither caught 2. GLM-5.3 Flash (Workers AI) caught 7 bugs that Kimi K2.7 Code (Workers AI) missed: 2 in JavaScript, 2 in Ruby, 1 in C++, 1 in Java and 1 in Rust, most of them concurrency bugs. Kimi K2.7 Code (Workers AI) caught 5 bugs that GLM-5.3 Flash (Workers AI) missed: 2 in PHP, 2 in TypeScript and 1 in Go.

On pull requests with no known bug, GLM-5.3 Flash (Workers AI) raised 1.8 false alarms per review and Kimi K2.7 Code (Workers AI) 2.6. A measured review cost $0.0035 on GLM-5.3 Flash (Workers AI), 94% less than $0.0567 on Kimi K2.7 Code (Workers AI).

Each known bug, and how often each model caught it
Pull requestLanguage · kindGLM-5.3 Flash (Workers AI)Kimi K2.7 Code (Workers AI)
denoland/denoperf(libs/core): poll only ready handles and yield between I/O batchesRust · Concurrency3/30/5
ggml-org/llama.cpprpc : cache and reuse compute graphsC++ · Security3/30/5
rails/railsReimplement Action Cable redis adapter with redis-clientRuby · Logic2/30/5
sindresorhus/p-throttleAdd `weight` optionJavaScript · Logic2/30/8
jhy/jsoupStore cached child els in Attributes, not fieldJava · Concurrency2/60/16
pinojs/thread-streamrefactor: replace setTimeout with Atomics.waitAsyncJavaScript · Concurrency1/30/8
socketry/asyncBarrier wait in completion order + `Queue#close`.Ruby · Concurrency1/30/5
TanStack/queryfix(query-core): fix hydration bugs for already resolved promisesTypeScript · Logic0/42/3
colinhacks/zodfeat(v4): parse input containing reference cyclesTypeScript · Resource handling0/41/3
doctrine/ormFix collection filtering API for IN/NOT IN comparisons that require type conversionsPHP · Logic0/31/4
go-gitea/giteaperf(gitdiff): optimize inline diff highlighting using cacheGo · Error handling0/31/4
symfony/symfony[Security] Allow multiple OIDC discovery endpointsPHP · Security0/31/4

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: GLM-5.3 Flash (Workers AI) and Kimi K2.7 Code (Workers AI).