Static application security testing for enterprise buyers
Asked as “SAST tool”, and as “static code security scanner”, on behalf of an enterprise B2B company. 46 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
54%
Clear leader
54Checkmarx One13Veracode Static Analysis09SonarQube24others
54% of first choices, clear leader.
Since September 2026▼−3Since September 2026: 54% → 51%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Checkmarx One held the lead, −3 points on 54%, inside the 11-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
Semgrep53%Clear leader▼−20Since September 2026: 70% → 50%, −20 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Mid-marketSemgrep36%Contested▼−17Since September 2026: 47% → 30%, −17 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Enterprise
Checkmarx One54%Clear leader▼−3Since September 2026: 54% → 51%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This page
Semgrep53%Clear leader▼−20Since September 2026: 70% → 50%, −20 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →Mid-marketSemgrep36%Contested▼−17Since September 2026: 47% → 30%, −17 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →EnterpriseCheckmarx One54%Clear leader▼−3Since September 2026: 54% → 51%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Checkmarx One54%18%74endorsed leader▼−3Since September 2026: 54% → 51%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.54% → 51%
Checkmarx One54%18%74endorsed leader▼−3Since September 2026: 54% → 51%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.54% → 51%02
Veracode Static Analysis13%23%64accepted challenger▲+1Since September 2026: 15% → 15%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.15% → 15%
Veracode Static Analysis13%23%64accepted challenger▲+1Since September 2026: 15% → 15%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.15% → 15%03SonarQube9%29%45criticized challenger=heldSince September 2026: 10% → 10%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.10% → 10%
04
Snyk Code4%12%32accepted challenger▼−3Since September 2026: 8% → 5%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 5%
Snyk Code4%12%32accepted challenger▼−3Since September 2026: 8% → 5%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.8% → 5%05Semgrep4%31%49criticized challenger▲+3Since September 2026: 2% → 5%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 5%
Semgrep4%31%49criticized challenger▲+3Since September 2026: 2% → 5%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 5%06
Black Duck Coverity2%19%21accepted challenger▲+3Since September 2026: 0% → 3%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 3%
Black Duck Coverity2%19%21accepted challenger▲+3Since September 2026: 0% → 3%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 3%07CodeQL2%24%21accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
08
GitHub Advanced Security2%29%14criticized challenger=heldSince September 2026: 2% → 3%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 3%
GitHub Advanced Security2%29%14criticized challenger=heldSince September 2026: 2% → 3%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 3%Show the two products at 0%, ordered by negative rate
09
OpenText Fortify0%29%45criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
OpenText Fortify0%29%45criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%10
Snyk0%29%21criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Snyk0%29%21criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All twenty-eight head-to-head pages: the top eight products, each against each
Semgrep vs CodeQLSemgrep vs GitHub Advanced SecuritySemgrep vs Veracode Static AnalysisSemgrep vs Checkmarx OneSonarQube vs Snyk CodeSonarQube vs SnykSonarQube vs CodeQLSonarQube vs GitHub Advanced SecuritySonarQube vs Veracode Static AnalysisSonarQube vs Checkmarx OneSnyk Code vs SnykSnyk Code vs CodeQLSnyk Code vs GitHub Advanced SecuritySnyk Code vs Veracode Static AnalysisSnyk Code vs Checkmarx OneSnyk vs CodeQLSnyk vs GitHub Advanced SecuritySnyk vs Veracode Static AnalysisSnyk vs Checkmarx OneCodeQL vs GitHub Advanced SecurityCodeQL vs Veracode Static AnalysisCodeQL vs Checkmarx OneGitHub Advanced Security vs Veracode Static AnalysisGitHub Advanced Security vs Checkmarx OneVeracode Static Analysis vs Checkmarx One
One product takes 54% of first choices here, so the chart would put nine markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Five products carry a negative rate above 25% in this category.
What they warned about
Five of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, GLM 4.7 FlashX and MiniMax M2.5 changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
SonarQube
29%
13 of 45 labels negative · 11 of 14 models · 2 hard negative
“Legacy enterprise SAST platforms like SonarQube, Checkmarx, Veracode, Coverity, and Fortify, which may have high false positive rates” Llama 4 Maverick, negative prompt
Veracode Static Analysis23%
15 of 64 labels negative · 10 of 14 models · 3 hard negative
“Tools to Avoid for Predictable Costs at Scale: ... Veracode | Quote-based, ~$15K-$52K+ average contracts, complex pricing tiers” Kimi K2, budget prompt
OpenText Fortify29%
13 of 45 labels negative · 10 of 14 models · 2 hard negative
“Legacy enterprise SAST platforms like SonarQube, Checkmarx, Veracode, Coverity, and Fortify” Llama 4 Maverick, negative prompt
Semgrep31%
15 of 49 labels negative · 10 of 14 models · 2 hard negative
“**Avoid for Enterprise**: Open-source like Semgrep/SonarQube (great for devs, but lack enterprise support/compliance)” Grok 4.1 Fast, direct prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
74 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1002 links across 196 sites, every framing counted. Ranked by the number of answers carrying the site or page. 16 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Checkmarx50 answers · 79 citations · 13 models
vendor site · Augment Code45 answers · 59 citations · 12 models
vendor site · Aikido43 answers · 59 citations · 12 models
42 answers · 62 citations · 11 models
36 answers · 42 citations · 12 models
vendor site · ZeroPath29 answers · 30 citations · 11 models
vendor site · Pixee28 answers · 29 citations · 10 models
vendor site · Corgea22 answers · 23 citations · 10 models
17 answers · 29 citations · 9 models
vendor site · Safeguard17 answers · 21 citations · 9 models
vendor site · Opsera17 answers · 17 citations · 9 models
vendor site · Endor Labs16 answers · 17 citations · 8 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
43 answers · 11 models
41 answers · 12 models
39 answers · 12 models
29 answers · 11 models
29 answers · 11 models
28 answers · 11 models
25 answers · 10 models
21 answers · 9 models
19 answers · 7 models
17 answers · 9 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best sast tool”, “sast tool”, “sast tools”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|
| Checkmarx checkmarx.com Checkmarx One 54% | 54% | 245 | 260 | 3 | 54,982 company | 61 | 8 |
| Veracode Static Analysis veracode.com | 13% | 125 | 40 | 2 | 12,543 | 17 | |
| SonarQube | 9% | 14,800 | 1,353 | ||||
| Snyk snyk.io Snyk Code 4%, Snyk 0% | 4% | 143 | 12,100 | 581 | 61,651 company | 60 | |
| Semgrep semgrep.dev | 4% | 194 | 8,100 | 191 | 3,461 | 43 | |
| Black Duck blackduck.com Black Duck Coverity 2%, Black Duck 0% | 2% | 137 | 33,100 | 3,087 | 76,259 | 73 | |
| CodeQL | 2% | 2,900 | 81 | ||||
| GitHub parent site GitHub Advanced Security 2% | 2% | 111 | 1,500,000 | 31,479 | |||
| GitLab parent site GitLab SAST 2% | 2% | 18 | 90,500 | 4,844 | |||
| Broadcom Fortify | 2% |
Google's top ten for the three searches hold 24 sites; 4 of them are among the sites the models cited here (checkmarx.com, endorlabs.com, safeguard.sh, zeropath.com). The first result for “best sast tool” is reddit.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best SAST tool for an enterprise B2B company?”Paraphrase“Which static code security scanner would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade SAST tools and how do they differ?”Budget-constrained“What is the best SAST tool for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a SAST tool. What should we look at?”Negative“Which SAST tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Checkmarx OneCheckmarx One, Veracode Static AnalysisChangedno first choiceCheckmarx Oneagainst: Snykno first choiceagainst: Checkmarx One, GitHub Advanced Security, GitLab SAST, Semgrep, Veracode Static Analysis
Two alternatives
OpenText Fortify, Veracode Static AnalysisOne alternative
SonarQubeSix alternatives
Checkmarx One, OpenText Fortify, Semgrep, Snyk Code, SonarQube, Veracode Static AnalysisOne alternative
SonarQubeGPT-5.4 miniCheckmarx OneCheckmarx OneHeldagainst: CodeQLno first choiceSonarQubeagainst: GitHubno first choicenothing named
Three alternatives
OpenText Fortify, Semgrep, Veracode Static AnalysisTwo alternatives
Semgrep, SonarQubeFive alternatives
Checkmarx One, OpenText Fortify, Semgrep, Snyk Code, Veracode Static AnalysisOne alternative
Checkmarx OneGemini 3.5 FlashSnyk CodeGitHub Advanced SecurityChangedno first choiceagainst: OpenText Fortify, SonarQubeSonarQubeagainst: GitHub Advanced Security, Semgrep, Snykno first choiceagainst: Bandit, Brakeman, gosec
Four alternatives
Checkmarx One, GitHub Advanced Security, Semgrep, Veracode Static AnalysisFive alternatives
Checkmarx One, GitLab SAST, Semgrep, Snyk, Veracode Static AnalysisFive alternatives
Black Duck Coverity, Checkmarx One, GitHub Advanced Security, Semgrep, SnykOne alternative
Veracode Static AnalysisPerplexity SonarCheckmarx OneCheckmarx OneHeldno first choiceCheckmarx Oneagainst: Semgrep, Snykno first choiceagainst: CodeQL, Semgrep, Snyk Code, SonarQube
Four alternatives
Black Duck Coverity, OpenText Fortify, Perforce Klocwork, Snyk CodeTwo alternatives
OpenText Fortify, Veracode Static AnalysisThree alternatives
Black Duck Coverity, OpenText Fortify, SonarQubeGrok 4.1 FastCheckmarx Oneagainst: Semgrep, SonarQubeVeracode Static AnalysisChangedagainst: SemgrepCheckmarx OneGitLab SASTagainst: Aikido Security, Checkmarx One, SonarQube, Synopsys Fortify, Veracode Static AnalysisCheckmarx Oneagainst: Bandit, Black Duck Coverity, Checkmarx One, CodeQL, OpenText Fortify, Semgrep, Snyk, SonarQube, Veracode Static Analysis
Three alternatives
Black Duck, OpenText Fortify, Veracode Static AnalysisThree alternatives
Black Duck, Checkmarx One, OpenText FortifyFour alternatives
Black Duck, OpenText Fortify, SonarQube, Veracode Static AnalysisTwo alternatives
Mend SAST, SnykFive alternatives
Black Duck Coverity, OpenText Fortify, Snyk Code, SonarQube, Veracode StaticMistral SmallCheckmarx One, Veracode Static AnalysisCheckmarx OneChangedCheckmarx Oneno first choiceagainst: Mend SAST, Veracode Static Analysisno first choiceagainst: Black Duck Coverity, Checkmarx One, CodeQL, OpenText Fortify, SonarQube, Veracode Static Analysis
Two alternatives
Aikido Security, Snyk CodeOne alternative
Veracode Static AnalysisFive alternatives
GitHub Advanced Security, OpenText Fortify, Snyk Code, SonarQube, Veracode Static AnalysisDeepSeek V4 FlashSemgrep, Snyk CodeCheckmarx OneChangedagainst: OpenText FortifyCheckmarx Oneagainst: HCL AppScanSemgrepagainst: Checkmarx One, OpenText Fortify, Veracode Static Analysisno first choiceagainst: Bandit, Brakeman, Checkmarx One, Detectify, OpenText Fortify, Semgrep, SonarQube, Veracode Static Analysis
Three alternatives
Checkmarx One, OpenText Fortify, Veracode Static AnalysisOne alternative
SemgrepSix alternatives
Black Duck Coverity, OpenText Fortify, Semgrep, Snyk Code, SonarQube, Veracode Static AnalysisOne alternative
SonarQubeLlama 4 MaverickVeracode Static AnalysisCheckmarx OneChangedno first choiceno first choiceno first choiceagainst: Black Duck Coverity, Checkmarx One, OpenText Fortify, SonarQube, Veracode Static Analysis
Three alternatives
Aikido Security, Checkmarx One, Snyk CodeTwo alternatives
Semgrep, Veracode Static AnalysisQwen 3.7 FlashBlack Duck Coverity, Broadcom FortifySonarQubeChangedCheckmarx One, OpenText FortifyVeracode Static Analysisagainst: Checkmarx One, GitHub Advanced Securityno first choiceagainst: CPPCheck, Checkmarx One, FindBugs, Flawfinder, OpenText Fortify, RATS, SonarQube, Veracode Static Analysis
Four alternatives
Checkmarx One, Semgrep, SonarQube, Veracode Static AnalysisThree alternatives
Checkmarx One, Snyk, Veracode Static AnalysisThree alternatives
Snyk Code, SonarQube Enterprise Edition, Veracode Static AnalysisOne alternative
Mend SASTKimi K2Checkmarx OneCheckmarx OneHeldagainst: Veracode Static AnalysisCheckmarx OneSonarQubeagainst: Checkmarx One, Semgrep, Snyk, Veracode Static Analysisno first choiceagainst: Checkmarx One, OpenText Fortify, SonarQube, Veracode Static Analysis
Three alternatives
Snyk Code, SonarQube, Veracode Static AnalysisOne alternative
SnykSix alternatives
CodeQL, OpenText Fortify, Semgrep, Snyk Code, SonarQube, Veracode Static AnalysisOne alternative
GitHub Advanced SecurityGLM 4.7 FlashXCheckmarx One, Veracode Static Analysisagainst: OpenText FortifyCheckmarx OneChangedCheckmarx One, Semgrep, Snyk CodeCheckmarx Oneagainst: CodeAnt AI, Semgrep, Snyk Codeno first choiceagainst: Black Duck Coverity, OpenText Fortify, Perforce Klocwork, SonarQube, Veracode Static Analysis
Two alternatives
Snyk Code, SonarQubeFour alternatives
Aikido Security, Semgrep, SonarQube, Veracode Static AnalysisSeven alternatives
Black Duck Coverity, CodeQL, OpenText Fortify, Opsera, Perforce Klocwork, SonarQube, Veracode Static AnalysisOne alternative
SonarQubeMiniMax M2.5no first choiceCheckmarx OneChangedCheckmarx OneOffensive360against: Semgrep, Snyk, ZeroPathno first choiceagainst: Checkmarx One, OpenText Fortify, Veracode Static Analysis
Four alternatives
Black Duck Coverity, GitHub Advanced Security, Snyk, Veracode Static AnalysisSeven alternatives
Black Duck Coverity, IBM AppScan, Mend SAST, OpenText Fortify, Perforce Klocwork, SonarQube, Veracode Static AnalysisThree alternatives
Black Duck Coverity, Checkmarx One, Veracode Static AnalysisGPT-6 LunaCheckmarx OneCheckmarx OneHeldno first choiceSonarQube Server Enterprise or Data Centeragainst: GitHub Code Security, SemgrepCodeQLagainst: CodeQL, Semgrep, SonarQube
Three alternatives
GitHub Advanced Security, Semgrep, Snyk CodeTwo alternatives
GitHub Advanced Security, SemgrepFive alternatives
Checkmarx One, OpenText Fortify, Semgrep, Snyk, Veracode Static AnalysisMuse Glimmer 30BCheckmarx OneCheckmarx OneHeldno first choiceCheckmarx Oneagainst: GitHub Advanced Security, Semgrep, Snyk Code, SonarQube, ZeroPathno first choiceagainst: Aikido Security, Bandit, Brakeman, Checkmarx One, OpenText Fortify, Semgrep, Snyk Code, Veracode Static Analysis
Three alternatives
Black Duck Coverity, OpenText Fortify, Veracode Static AnalysisTwo alternatives
OpenText Fortify, Veracode Static AnalysisTwo alternatives
Black Duck Coverity, OpenText FortifyBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:31 | yes | 16 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:02 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:02 | yes | 20 | 30 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 09:53 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:40 | yes | 18 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:00 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:53 | yes | 20 | 29 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:21 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:07 | no | 0 | 35 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:39 | yes | 11 | 34 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:30 | yes | 20 | 156 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:56 | no | 0 | 7 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:14 | yes | 1 | 12 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:43 | yes | 13 | 18 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:37 | no | 0 | 5 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:19 | yes | 5 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:44 | yes | 9 | 27 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 11:21 | yes | 24 | 5 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:48 | yes | 23 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:07 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:35 | yes | 21 | 43 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:39 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:40 | no | 0 | 36 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:43 | yes | 17 | 20 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:44 | yes | 17 | 53 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:59 | yes | 10 | 44 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:00 | yes | 3 | 15 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:22 | yes | 12 | 30 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:11 | yes | 19 | 12 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:22 | yes | 4 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:34 | yes | 10 | 25 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:53 | yes | 19 | 8 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:16 | yes | 18 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:13 | yes | 12 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:43 | yes | 16 | 43 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:59 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:36 | yes | 17 | 32 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:37 | yes | 16 | 37 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:50 | yes | 12 | 29 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:46 | yes | 9 | 59 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:08 | yes | 10 | 42 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:44 | yes | 13 | 36 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:11 | yes | 13 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:35 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:27 | yes | 11 | 24 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 13:46 | yes | 20 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:51 | yes | 18 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:31 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:09 | yes | 24 | 28 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:34 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:40 | no | 0 | 35 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:45 | yes | 24 | 25 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:16 | yes | 20 | 59 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:06 | yes | 13 | 43 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:26 | yes | 2 | 14 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:23 | yes | 24 | 50 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:58 | yes | 18 | 12 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:07 | no | 0 | 7 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:36 | no | 0 | 17 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:38 | yes | 20 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:12 | yes | 17 | 10 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:20 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 12:19 | yes | 22 | 57 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:09 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:18 | no | 0 | 30 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:39 | yes | 24 | 25 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:27 | yes | 20 | 22 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:22 | yes | 5 | 41 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:56 | yes | 4 | 23 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:30 | yes | 23 | 48 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:48 | yes | 17 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:19 | yes | 2 | 9 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:24 | yes | 12 | 30 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 09:03 | yes | 20 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:14 | yes | 23 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:39 | yes | 5 | 6 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:16 | yes | 16 | 39 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:37 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:05 | no | 0 | 38 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:41 | yes | 23 | 23 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:04 | yes | 19 | 43 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:53 | yes | 13 | 41 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:08 | yes | 4 | 23 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:52 | yes | 19 | 43 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Aikido read as Aikido Security
Checkmarx read as Checkmarx One
Checkmarx (Checkmarx One) read as Checkmarx One
Checkmarx (One) read as Checkmarx One
GitHub Advanced Security / CodeQL read as GitHub Advanced Security
GitHub Code Security / CodeQL read as GitHub Advanced Security
GitHub Code Security with CodeQL read as GitHub Advanced Security
GitLab read as GitLab SAST
GitLab Ultimate read as GitLab SAST
Mend read as Mend SAST
Mend (formerly WhiteSource) read as Mend SAST
Mend.io read as Mend SAST
Veracode read as Veracode Static Analysis
Veracode (by Broadcom) read as Veracode Static Analysis
Unresolved, counted raw
Broadcom Fortify (formerly Micro Focus)
GitHub Code Security
GitLab Advanced Security (GitLab SAST)
IBM AppScan (HCL AppScan)
OpenText's Fortify
RATS
SonarQube Enterprise Edition
SonarQube Enterprise Edition (SonarSource)
SonarQube Server Enterprise or Data Center
Synopsys Fortify
Veracode Static
Discontinued, still offered
No shut-down product was recommended here.