| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Object storage | Cloud and infrastructure | 46% | 1 of 51 | 5% | 62 | endorsed leader | ▼−1Since September 2026: 46% → 45%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Backup and disaster recovery | Cloud and infrastructure | 4% | 7 of 116 | 0% | 5 | under 10 labels · led by Veeam Data Platform at 38% | ▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Backup and DR | 0% | 4% | ▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 22 → 7 of 116 |
| Object storage | 46% | 45% | ▼−1Since September 2026: 46% → 45%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 1 of 51, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
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 · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 5 | 0 | 5 |
| GPT-5.4 mini | 0 | 2 | 0 | 0 | 2 |
| Gemini 3.5 Flash | 3 | 4 | 0 | 0 | 7 |
| Perplexity Sonar | 2 | 2 | 0 | 0 | 4 |
| Grok 4.20 | 4 | 1 | 1 | 0 | 6 |
| Mistral Small | 2 | 1 | 1 | 1 | 5 |
| DeepSeek V4 Flash | 4 | 1 | 1 | 0 | 6 |
| Llama 4 Maverick | 1 | 2 | 0 | 0 | 3 |
| Qwen 3.7 Flash | 3 | 3 | 0 | 0 | 6 |
| Kimi K2 | 1 | 3 | 0 | 0 | 4 |
| GLM 4.7 FlashX | 2 | 3 | 0 | 0 | 5 |
| MiniMax M2.5 | 3 | 1 | 1 | 1 | 6 |
| GPT-6 Luna | 1 | 2 | 0 | 1 | 4 |
| Muse Glimmer 30B | 2 | 2 | 0 | 0 | 4 |
Verbatim evidence the judge attached to positive labels.
“Backblaze B2 gives the best balance of transparent low storage pricing, broad S3 compatibility, free egress allowance and no minimum retention” Muse Glimmer 30B · Object storage · paraphrase prompt · first choice
“In practice most budget-limited companies start with Backblaze B2 for storage cost, and pair it with Cloudflare for free unlimited egress.” Muse Glimmer 30B · Object storage · budget prompt · first choice
“The Best All-Rounder: Backblaze B2 ... widely considered the best balance between rock-bottom pricing and enterprise-grade stability.” Qwen 3.7 Flash · Object storage · budget prompt · first choice
“Backblaze B2 is my top pick — it offers the best mix of low cost, enterprise compliance, no punitive minimums” DeepSeek V4 Flash · Object storage · paraphrase prompt · first choice
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Your downloads are much larger than your stored volume... model the excess before committing.” GPT-6 Luna · Object storage · negative prompt · soft negative
“Some users mention limited regional redundancy (only US‑based by default).” MiniMax M2.5 · Object storage · negative prompt · soft negative
“they may lack integration with other services and can become more expensive” Mistral Small · Object storage · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 171 of the 195 answers that named Backblaze B2 and are not a share of its labels.
479 of the 563 domain citations in answers naming Backblaze B2 came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What Backblaze B2's own pages state, read September 28, 2026: backblaze.com/apidocs/b2-list-buckets, backblaze.com/apidocs/b2-update-bucket, backblaze.com/apidocs/b2-create-bucket, backblaze.com/apidocs/b2-delete-bucket. A claimed page can correct any of them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Backblaze B2's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Backblaze B2, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Backblaze B2 by email, built from the raw record of the edition. It shows:
AI models recommend Backblaze B2 first in Object storage this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.