Snyk vs Veracode Static Analysis
Two of fourteen models named Snyk first on the direct prompt; zero named Veracode Static Analysis. Snyk was named by seven of the fourteen models and Veracode Static Analysis by fourteen and Snyk carries 11 labels and Veracode Static Analysis 39, so the shares are not directly comparable.
Named in eleven categories this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the static application security testing page.
By framing
SnykFirst choices, of fourteen modelsVeracode Static Analysis
Across every category in the October 2026 Edition, Snyk and Veracode Static Analysis were named in the same answer thirty-two times, of the 177 answers naming Snyk and the 138 naming Veracode Static Analysis. In those answers Veracode Static Analysis took the first choice one time and Snyk four.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | |||||
| Grok 4.1 Fast | | | | | ||
| Mistral Small | | |||||
| DeepSeek V4 Flash | | | ||||
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | | |||
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | |||||
| MiniMax M2.5 | | | ||||
| GPT-6 Luna | | | ||||
| Muse Glimmer 30B | |
Snyk Veracode Static Analysis first choice named as an alternative argued againstblank: not namedEach cell is one answer, Snyk on the left and Veracode Static Analysis on the right.The direct prompt
Snyk first, Veracode Static Analysis an alternative
2 of 14 modelsVeracode Static Analysis was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
9 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Snyk9%#4 of 13Veracode Static Analysis0%#12 of 13Snyk8%#4 of 10Veracode Static Analysis2%#7 of 10Veracode Static Analysis13%#2 of 10Snyk0%#10 of 10What the models said about Snyk
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“"We are forced to use Snyk–it's basically infuriating support and false positives... it's also insanely expensive"” Claude Haiku 4.5 · negative prompt · soft negative
“Snyk appears to be the most frequently recommended option for mid-market B2B companies running modern stacks” MiniMax M2.5 · direct prompt · first choice
What the models said about Veracode Static Analysis
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“What I'd Avoid for Mid-Market: Checkmarx and Veracode are powerful but typically start at $60K–$100K+/year” Kimi K2 · paraphrase prompt · hard negative
“Full scans can delay fast-moving dev cycles, there's no on-premise option with code upload raising security concerns, and pricing can be steep” Claude Haiku 4.5 · negative prompt · soft negative
“not necessarily the one with the most heavy-duty enterprise compliance rules (like legacy tools Veracode or Fortify)” Gemini 3.5 Flash · direct prompt · soft negative
“the recommended static code security scanner for a mid-sized B2B company could be either Checkmarx or Veracode” Llama 4 Maverick · paraphrase prompt · first choice
“Excels in broad language/framework support (including legacy/binary), whole-app analysis, and enterprise integrations” Grok 4.1 Fast · comparative prompt · alternative
“Highly regulated environments, on-premises requirements, or teams needing very deep taint analysis.” GLM 4.7 FlashX · direct prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.