Backblaze B2 Pricing Calculator
Estimate your Backblaze B2 cloud storage bill with a practical calculator built for real workloads. Adjust stored data, monthly downloads, API activity, billing period, and contingency buffer to preview your expected spend and visualize the cost breakdown instantly.
Calculator Inputs
Enter your expected usage below. This calculator models common Backblaze B2 cost components using the assumptions shown underneath the form.
Pricing assumptions used by this calculator
- Storage: $0.006 per GB-month (equivalent to about $6 per TB-month).
- Downloads / egress: $0.01 per GB (equivalent to about $10 per TB).
- Class B API calls: $0.004 per 10,000 calls.
- Uploads and Class A style write activity are treated as zero-cost in this simplified estimate.
- Taxes, region-specific fees, CDN costs, partner transfer deals, and minimum commitments are not included.
Your estimate
Cost Breakdown Chart
The chart below updates each time you calculate. It helps you see whether your spend is driven mostly by stored capacity, retrieval traffic, or API activity.
- Storage-heavy workloads usually benefit from B2’s low per-GB monthly rate.
- Download-heavy workloads can see egress become a meaningful share of spend.
- API costs often remain small, but they matter in request-intensive automation.
Expert Guide to Using a Backblaze B2 Pricing Calculator
A backblaze b2 pricing calculator is one of the most useful planning tools for anyone evaluating low-cost cloud object storage. Whether you are a solo creator archiving media, an IT team replacing on-premise backup targets, a SaaS company serving customer files, or an agency managing long-term project storage, the main question is simple: what will the service actually cost once your real usage patterns show up? A pricing page gives you baseline rates, but a calculator turns those rates into a working forecast based on your own data volumes, retrieval habits, and operational style.
Backblaze B2 is often discussed in the same sentence as Amazon S3, Google Cloud Storage, and Azure Blob Storage because it serves a similar role: durable object storage that can hold backups, documents, logs, media libraries, application assets, and archival data. The reason many buyers search for a dedicated backblaze b2 pricing calculator is that B2’s public pricing is relatively straightforward, but real cloud bills are still shaped by multiple variables. Stored data is only one of them. Downloads matter. API requests can matter. Growth over time matters. The difference between a mostly write-once archive and an actively downloaded asset library can be dramatic.
That is why a practical calculator should break costs into components rather than showing only one total. In the calculator above, the model separates storage cost, download cost, and Class B API request cost. It also allows you to view the estimate monthly or annually and layer in a contingency percentage. That contingency is important because infrastructure usage is rarely perfectly flat. Teams restore data, migrate datasets, run audits, and occasionally experience spikes that make a “best case” estimate too optimistic.
How Backblaze B2 pricing usually works
For many buyers, the appeal of B2 starts with its accessible pricing model. A simple way to think about it is this: you pay for the average amount of data stored during the billing period, plus outbound retrieval volume, plus any request classes that are not free in your usage pattern. In many real-world cases, storage is the primary ongoing charge, while downloads become more visible when files are frequently restored, shared, or served to external users.
- Storage cost: Based on the average amount of data stored during the month.
- Download or egress cost: Based on how much data leaves the platform.
- API request cost: Usually much smaller than storage or egress, but not always negligible for automation-heavy systems.
- Growth and safety margin: Important for annual budgeting and avoiding underestimates.
Because object storage is consumed differently across industries, there is no single “normal” profile. A video archive may store tens of terabytes but rarely download anything. A web application may store less data overall but serve it constantly. A backup platform may be quiet most months and then incur a meaningful retrieval bill during disaster recovery or testing. This is exactly where a calculator becomes valuable: it transforms pricing theory into an operational estimate.
What each input in the calculator means
The first and most important input is average data stored. You should not enter only your current starting dataset if you expect fast growth. Instead, estimate your average stored capacity across the month or quarter you care about. If you begin at 8 TB and expect to reach 10 TB during the month, using 9 TB as the average planning input is more realistic than using 8 TB.
The second major input is monthly data downloaded. This is often underestimated. Backups that are almost never restored may have very low egress. Content libraries, software distribution repositories, and collaboration systems can have much higher egress. If your organization shares large files externally, performs frequent restores, or synchronizes data to multiple environments, your monthly download estimate should reflect that behavior.
The third input is Class B API calls. Not every buyer needs a deep API estimate, but request-heavy tools can generate a surprising number of list, check, and retrieval-oriented operations. While request charges are usually modest compared with storage and bandwidth, enterprise automation, indexing jobs, media processing pipelines, and file inventory scans can make API cost worth tracking.
Finally, the billing period and safety buffer help with budgeting. Monthly estimates are useful for tactical planning and migration comparisons. Annual estimates are better for finance teams, managed service providers, and procurement processes. A buffer helps cover usage volatility, especially when teams do not yet have reliable historical telemetry.
Comparison table: rounded public price references
The table below shows commonly cited, rounded public list pricing reference points for mainstream object storage services. These figures are simplified and may vary by region, access tier, contract terms, network destination, and date. Their purpose is to show why many users investigate a backblaze b2 pricing calculator in the first place.
| Provider / Tier | Approx. storage price | Approx. egress price | Notes |
|---|---|---|---|
| Backblaze B2 | About $6 per TB-month | About $10 per TB downloaded | Frequently chosen for backups, archives, and cost-sensitive object storage. |
| AWS S3 Standard | About $23 per TB-month | About $90 per TB downloaded to the internet | Very broad ecosystem, but list pricing can be much higher for storage and bandwidth. |
| Azure Blob Hot LRS | About $18 to $20 per TB-month | About $87 per TB downloaded | Strong Microsoft ecosystem integration; pricing depends on redundancy and region. |
| Google Cloud Storage Standard | About $20 per TB-month | Often $110 to $120 per TB downloaded | Regional variation is important; networking assumptions matter in comparisons. |
Even allowing for regional exceptions and commercial discounts, the directional pattern is clear: B2 is often materially lower for basic object storage and internet egress than the standard public list pricing of larger hyperscalers. That difference is one reason agencies, photographers, video teams, backup vendors, and developers run calculator scenarios before committing to a migration.
Scenario table: what common workloads might look like
Below is a simple scenario-based table using the assumptions from this calculator. These examples help illustrate how the composition of spend changes as usage behavior changes.
| Workload scenario | Stored data | Monthly downloads | API calls | Estimated monthly total |
|---|---|---|---|---|
| Cold archive | 10 TB | 50 GB | 200,000 | About $60.58 |
| Active media library | 5 TB | 3 TB | 1,500,000 | About $60.60 |
| Application assets and backups | 2 TB | 500 GB | 800,000 | About $17.32 |
| Growth-stage SaaS file store | 20 TB | 2 TB | 4,000,000 | About $141.60 |
Two lessons stand out. First, storage-heavy and egress-heavy workloads can produce similar totals even when the usage profile is very different. Second, request costs are often visible but still relatively small compared with core storage and data transfer. This is why many cost reviews should begin with stored capacity and outbound traffic before teams spend too much energy optimizing request volume.
How to use the calculator for budgeting instead of just curiosity
- Start with your current dataset. Pull a realistic measure of stored files from your existing backup software, NAS, object storage account, or application logs.
- Estimate monthly average stored capacity. If you are growing quickly, use the midpoint of the month rather than the starting value.
- Measure or infer monthly downloads. Review restore logs, user access patterns, content delivery reports, or export history.
- Add API volume if your workflow is automated. Inventory jobs, sync tools, media pipelines, and application list operations all contribute here.
- Apply a buffer. A 10% to 20% contingency is often sensible when usage data is imperfect.
- Run monthly and annual views. Operational teams often need the monthly view, while finance and procurement usually want annualized figures.
Common mistakes when estimating B2 costs
The most frequent mistake is assuming that stored data alone tells the whole story. In reality, the cheapest-looking archive can become more expensive than expected if teams restore aggressively, distribute large files externally, or repeatedly scan buckets with automation. Another common mistake is treating today’s storage footprint as the monthly average even when active projects are adding data every day. If you are ingesting hundreds of gigabytes per week, your real average billed capacity will exceed your day-one number.
A third mistake is comparing providers with mismatched assumptions. One team may compare B2’s public storage rate against another provider’s discounted enterprise contract. Another may compare B2 storage against a hyperscaler tier while ignoring network charges entirely. A useful backblaze b2 pricing calculator should encourage apples-to-apples thinking by making each cost component explicit.
When Backblaze B2 tends to be a strong fit
- Long-term backup repositories where low storage cost matters more than advanced platform services.
- Media archives, photography libraries, and design assets with moderate retrieval frequency.
- Small and midsize businesses looking for simpler cloud storage economics.
- Developers who want S3-compatible tooling without typical hyperscaler list pricing.
- Organizations moving data off aging on-premise hardware but not ready for a full cloud stack migration.
When you should model more carefully
You should spend extra time modeling your costs if your application streams large assets directly from object storage, if your team performs frequent full restores, or if your customer-facing product has unpredictable download volume. In those environments, bandwidth assumptions can dominate. You should also model carefully when procurement requires strict annual budget accuracy or when migration economics depend on replacing another provider with a very different egress structure.
Helpful reference sources for cloud storage planning
If you want to go beyond simple cost estimation and understand the broader framework for cloud storage planning, security, and resilience, these public sources are useful:
These sources are not pricing pages, but they are highly relevant to the bigger decision around cloud storage. A good calculator helps with cost, while good architecture depends on understanding cloud service models, resilience planning, and operational risk. Backup and object storage decisions are rarely about price alone.
Final takeaways
A backblaze b2 pricing calculator is most valuable when it helps you move from vague assumptions to a defensible usage model. If you estimate only stored terabytes, you may miss the impact of downloads. If you ignore growth, your annual forecast may be too low. If you compare providers without normalizing storage, egress, and request assumptions, your shortlist may be misleading. The best way to use a calculator is to run multiple realistic scenarios, save your assumptions, and revisit them as your data profile evolves.
For many teams, Backblaze B2 stands out because the core economics are easier to understand than many alternatives. That does not remove the need for proper planning, but it does make forecasting more transparent. Use the calculator above as a working baseline, test normal and high-usage months, and combine the results with your own operational metrics. That approach will give you a much better estimate than relying on headline rates alone.
Pricing examples above are simplified for educational planning and may change over time. Always verify current provider pricing, regional terms, and transfer conditions before making a final financial decision.