Six of fourteen models named Smarsh Enterprise Archive first on the direct prompt; two named Mimecast Cloud Archive. Both were named by all fourteen models and Smarsh Enterprise Archive carries 53 labels and Mimecast Cloud Archive 44, so the shares are not directly comparable.
Named in one category 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 communications archiving and compliance page.
Across every category in the November 2026 Edition, Smarsh Enterprise Archive and Mimecast Cloud Archive were named in the same answer ninety-five times, of the 160 answers naming Smarsh Enterprise Archive and the 112 naming Mimecast Cloud Archive. In those answers Mimecast Cloud Archive took the first choice seven times and Smarsh Enterprise Archive thirty-eight.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Smarsh Enterprise Archive and Proofpoint Enterprise Archive are considered "criticized challengers" due to their complex pricing, unavailability of functions, slow search” Llama 4 Maverick · negative prompt · hard negative
“Avoid or be truly cautious about: Global Relay (if you're not a large enterprise), Veritas Enterprise Vault (if you're not already locked in), and Smarsh” DeepSeek V4 Flash · negative prompt · hard negative
“heavily criticized for complex and vague pricing, slow search performance... Many models and user reviews consider these issues as deal breakers.” Mistral Small · negative prompt · hard negative
“Best overall for large-scale communications archiving, for organizations needing capture across 100-plus channels with mature surveillance and discovery workflows.” Muse Glimmer 30B · comparative prompt · first choice
“Exceptional breadth of channel capture... Financial institutions facing SEC/FINRA scrutiny generally lean toward Global Relay, Smarsh, or Shield” Gemini 3.5 Flash · comparative prompt · first choice
“Smarsh is well-suited for regulated enterprises and growing mid-market firms that need supervision across multiple communication channels” Claude Haiku 4.5 · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Also flagged with a 47% negative rate for small businesses, indicating potential issues with reliability or user experience.” Mistral Small · negative prompt · hard negative
“similar email-focused products may be inadequate if you must retain Teams, Slack, WhatsApp, SMS, voice, social media, or trader communications” Perplexity Sonar · negative prompt · soft negative
“Generally rated but some users report limitations compared to alternatives.” GLM 4.7 FlashX · negative prompt · soft negative
“or Mimecast if you need broader multi-channel archiving (especially if using Slack and Teams together)” MiniMax M2.5 · paraphrase prompt · first choice
“Microsoft Purview (if on M365) OR Mimecast Cloud Archive (if you need broader channel coverage” Kimi K2 · paraphrase prompt · first choice
“I'd recommend Mimecast Cloud Archive as the best overall choice” DeepSeek V4 Flash · direct prompt · first choice
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.