Guide

GLM code review: GLM 5.3 Flash benchmarks on real pull requests

Q: Is GLM good for code review?

For some reviews. GLM 5.3 Flash was the best model we ran on security and tied for first on SOC 2, at about a cent a review. On general code review, logs and AI architecture, other models scored higher.

Q: GLM 5.3 Flash or DeepSeek V4.1 Flash?

On our benchmarks GLM is cheaper and faster, and scores higher on security (66.7% to 62.5%). DeepSeek V4.1 Flash scores higher on code review (46.7% to 42.8%) and on logs (59.0% to 36.1%). IonWarp runs DeepSeek for most reviewers and GLM for API Performance and Cost Review.

Q: What does a GLM code review cost?

In model fees on our benchmarks, GLM 5.3 Flash cost from about a quarter of a cent a review on CI/CD to about 2 cents on general code review. IonWarp plans include the model cost: Pro is $49/mo for the workspace.

Q: Which GLM models has IonWarp benchmarked?

GLM 5.3 Flash on eight of our nine review types (all but docs). We also ran the larger GLM 5.3 on AI architecture, where it tied DeepSeek V4.1 Flash at 47.1%; GLM 5.3 Flash scored 15.4% there.

By Ilya Volodarsky · Updated Oct 4, 2026

GLM 5.3 Flash was the cheapest model in every benchmark we ran it on. IonWarp runs it for API Performance and Cost Review, and a failed Security Review or SOC 2 Review review retries on it. It reviewed the same public pull requests as DeepSeek, Muse Spark, GPT and Gemini models, and a model grader matched every finding to a known issue (how the benchmarks work).

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Its best result is on security. On 13 pull requests with 18 known security issues, GLM 5.3 Flash scored an F1 of 66.7% for about a cent a review, ahead of Grok 4.6 (53.3%) and Gemini 3.8 Flash (51.6%), which cost about 45 to 50 times as much.^[1] It trails on general code review, at 42.8% on 50 pull requests against 46.7% for DeepSeek V4.1 Flash.^[2]

Where GLM 5.3 Flash leads, and where it does not

Security: the best model we ran
10 of 18 known issues found with 2 false findings, for about a cent a review. Only the Qodo app scored higher, 73.3%.^[1]
Security ReviewOn Starter, Pro and Max
SOC 2: a tie for first, in 34 seconds
GLM 5.3 Flash and DeepSeek V4.1 Flash both scored 66.7% on 20 pull requests with 15 known control gaps. GLM found 11 in a median 34 seconds for about a cent; DeepSeek found 13 in six minutes.^[3]
SOC 2 ReviewOn Max
API performance: half a cent a review
48.3% on 18 pull requests. In Grafana #97529, moving a lock let several goroutines build the same expensive index at once; GLM flagged it, and Gemini 3.8 Flash, GPT 5.6 Luna Pro and Muse Spark 1.3 did not.^[4] The apps lead this set: Greptile scored 76.9%.^[5]
API PerformanceOn Max
Cost review: one bug only GLM caught
55.2% on 20 pull requests for about 1.4 cents, against 57.1% for DeepSeek V4.1 Flash at 7 cents.^[6] In PostHog's Python SDK (#346), a cache-token subtraction meant for Anthropic ran for every provider and undercounted OpenAI input tokens. Of the three models we ran, only GLM flagged it.^[7]
Cost ReviewOn Pro and Max
Logs and AI architecture: behind
36.1% on 17 log and error pull requests, fourth of five models,^[8] and 15.4% on the 11-pull-request AI architecture set.^[9]