# Pricing

Illumina Connected Analytics leverages cloud resources to perform the operations needed for data storage and compute workloads. This page details price information for the billable actions within the platform.

All data storage and compute workloads are charged for using iCredits. Learn more about iCredits [here](https://www.illumina.com/products/by-type/informatics-products/icredits.html).

## Analysis Price

To see the price of an analysis in iCredits, look at **Projects > your\_project > Flow > Analyses > your\_analysis > Details tab**. The pricing section will show you the entitlement bundle, storage detail and price in iCredits. For the API use `/api/projects/{projectId}/analyses/{analysisId}/usage`

{% hint style="info" %}
This is the **price for executing the analysis**, you will still incur additional data storage costs as long as you keep the data on ICA S3 storage.
{% endhint %}

## Data Storage

This section provides information about data storage pricing.

| Category | iCredits/TB/month |
| -------- | ----------------- |
| Standard | 22.50             |
| Archive  | 2.00              |

| Category                         | Archive |
| -------------------------------- | ------- |
| Archival Send (iCredits/TB)      | 20      |
| Archival Retrieval (iCredits/TB) | 30      |

## Compute

This section provides information about compute pricing for pipeline execution in Flow.

| Storage Size | ID      | Size            | iCredits/hr |
| ------------ | ------- | --------------- | ----------- |
| Small        | small   | 1.2TB (1200GiB) | 0.2016      |
| Medium       | medium  | 2.4TB (2400GiB) | 0.4032      |
| Large        | large   | 7.2TB (7200GiB) | 1.2096      |
| XLarge       | xlarge  | 16TB (16000GiB) | 2.688       |
| 2XLarge      | 2xlarge | 32TB (32000GiB) | 5.376       |
| 3XLarge      | 3xlarge | 64TB (64000GiB) | 10.752      |

<table data-full-width="false"><thead><tr><th width="166.35546875">Compute Type</th><th>iCredits/hr - Standard Tier</th><th>iCredits/hr - Economy Tier</th><th width="76">CPUs</th><th>Memory (GiB)</th><th width="72">GPU</th><th width="100">GPU Memory (GiB)</th></tr></thead><tbody><tr><td>standard-small</td><td>0.352016</td><td>0.176008</td><td>2</td><td>8</td><td></td><td></td></tr><tr><td>standard-medium</td><td>0.474656</td><td>0.237328</td><td>4</td><td>16</td><td></td><td></td></tr><tr><td>standard-large</td><td>0.719936</td><td>0.359968</td><td>8</td><td>32</td><td></td><td></td></tr><tr><td>standard-xlarge</td><td>1.210496</td><td>0.605248</td><td>16</td><td>64</td><td></td><td></td></tr><tr><td>standard-2xlarge</td><td>2.191616</td><td>1.095808</td><td>32</td><td>128</td><td></td><td></td></tr><tr><td>standard-3xlarge</td><td>4.383232</td><td>2.191616</td><td>64</td><td>256</td><td></td><td></td></tr><tr><td>hicpu-small</td><td>1.176896</td><td>0.588448</td><td>16</td><td>32</td><td></td><td></td></tr><tr><td>hicpu-medium</td><td>2.361296</td><td>1.180648</td><td>32</td><td>72</td><td></td><td></td></tr><tr><td>hicpu-large</td><td>4.493216</td><td>2.246608</td><td>72</td><td>144</td><td></td><td></td></tr><tr><td>himem-small</td><td>0.901376</td><td>0.450688</td><td>8</td><td>64</td><td></td><td></td></tr><tr><td>himem-medium</td><td>1.573376</td><td>0.786688</td><td>16</td><td>128</td><td></td><td></td></tr><tr><td>himem-large</td><td>4.261376</td><td>2.130688</td><td>48</td><td>384</td><td></td><td></td></tr><tr><td>himem-xlarge</td><td>8.293376</td><td>4.146688</td><td>92</td><td>700</td><td></td><td></td></tr><tr><td>hiio-small</td><td>0.457016</td><td>0.228508</td><td>2</td><td>16</td><td></td><td></td></tr><tr><td>hiio-medium</td><td>0.684656</td><td>0.342328</td><td>4</td><td>32</td><td></td><td></td></tr><tr><td>fpga2-medium<sup>1</sup></td><td>1.98</td><td>1.98</td><td>24</td><td>256</td><td></td><td></td></tr><tr><td>fpga2-large<sup>1</sup></td><td>3.96</td><td>3.96</td><td>48</td><td>512</td><td></td><td></td></tr><tr><td>gpu-small</td><td>2.570400</td><td>2.570400</td><td>8</td><td>61</td><td>1</td><td>16</td></tr><tr><td>gpu-medium</td><td>10.28160</td><td>10.28160</td><td>32</td><td>244</td><td>4</td><td>64</td></tr><tr><td>transfer-small<sup>2</sup></td><td>0.784000</td><td>0.392000</td><td>4</td><td>10</td><td></td><td></td></tr><tr><td>transfer-medium<sup>2</sup></td><td>1.176000</td><td>0.588000</td><td>8</td><td>15</td><td></td><td></td></tr><tr><td>transfer-large<sup>2</sup></td><td>2.448000</td><td>1.224000</td><td>16</td><td>30</td><td></td><td></td></tr></tbody></table>

{% hint style="warning" %} <sup>1</sup> **DRAGEN pipelines running on fpga2** compute type will incur a DRAGEN license cost of 0.10 iCredits per gigabase of data processed, with additional **discounts** as shown below.

* **80 or less** gigabase per sample - no discount - 0.10 iCredits per gigabase
* **> 80 to 160** gigabase per sample - 20% discount - 0.08 iCredits per gigabase
* **> 160 to 240** gigabase per sample - 30% discount - 0.07 iCredits per gigabase
* **> 240 to 320** gigabase per sample - 40% discount - 0.06 iCredits per gigabase
* **> 320 and more** gigabase per sample - 50% discount - 0.05 iCredits per gigabase

**DRAGEN Iterative gVCF Genotyper (iGG)** will incur a **license cost** of **0.6216 iCredits per gigabase**. For example, a sample of 3.3 gigabase human reference will result in 2 iCredits per sample. The associated **Compute costs** will be based on the compute instance chosen.

The **ORA (Original Read Archive) compression pipeline** is part of the DRAGEN platform. It performs lossless genomic data compression to reduce the size of FASTQ and FASTQ.GZ files (up to 4-6x smaller) while preserving data integrity with internal checksum verification. The ORA compression pipeline has a **license cost** of **0.017 iCredits per input Gbase**; decompression does not have an associated license cost.
{% endhint %}

{% hint style="warning" %}
The ***DRAGEN\_Map\_Align*** **pipeline running on fpga2** has the standard **DRAGEN license cost** of 0.10 iCredits per Gbase processed, with but replaces the standard volume discounts with the **discounts** shown below.

* **10 or less** gigabase per sample - no discount - 0.10 iCredits per gigabase
* **> 10 to 25** gigabase per sample - 30% discount - 0.07 iCredits per gigabase
* **> 25 to 60** gigabase per sample - 70% discount - 0.03 iCredits per gigabase
* **> 60 and more** gigabase per sample - 85% discount - 0.015 iCredits per gigabase
  {% endhint %}

{% hint style="danger" %}
FPGA instances were decommissioned Nov 1st 2025. Please migrate to F2 for improved capacity and performance with up to 40% reduced turnaround time for analysis.
{% endhint %}

{% hint style="info" %} <sup>2</sup> The transfer size selected is based on the selected storage size for compute type and used during upload and download system tasks.
{% endhint %}

## Base

This section provides information about data warehouse pricing in Base. Prices below are shown in **iCredits/hr** for each of the virtual warehouse sizes. Prices vary for each region.

The actual cost depends on duration, interval and requested resources. For example, when using Snowflake, **2 warehouses** are created. One for **query** handling and one to do **data** handling to prevent large data uploads from interfering with queries. Starting a warehouse typically takes only a few seconds; but it can take longer as Snowflake has to provision the compute resources for the warehouse. To counter this, Snowflake allows to set a time interval during which a warehouse is kept running so that ensuing actions have low latency because they don't have to wait for a warehouse to be spun up. ICA has this time interval set to 5 minute, so after any query or data action, the warehouse is **kept running for 5 more minutes**. For this reason, it is most economical to do as many actions as possible in a short interval and not leaving 5 minutes between actions. In addition, Snowflake has a one minute minimum charge. For more information on warehouses, please refer to the[Snowflake documentation](https://docs.snowflake.com/en/user-guide/warehouses-overview).

In the example below, you can see which charges are incurred. Query 1 and 2 can both be done within the same running warehouse, for 3, a new warehouse needs to be spun up. The total cost in this example is running a warehouse for 1 & 2 (10s + 120s idle + 90s + 5 min idle) and a warehouse for 3 (1 min + 5 min idle). This in turn illustrates why it would be more economical to do all queries, within one short timeslot. Then you only have the time of those queries + 5 minutes of keeping the warehouse spinning after the last query. Additionally you can have load warehouses following the same principle running in parallell.

<figure><img src="https://3193631692-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MWUqIqZhOK_i4HqCUpT%2Fuploads%2Fgit-blob-df1ef7ba0246c54b69e615a3023993168781dfcc%2Fimage%20(4)%20(1).png?alt=media" alt=""><figcaption></figcaption></figure>

<table data-full-width="true"><thead><tr><th></th><th>XS</th><th>S</th><th>M</th><th>L</th><th>XL</th><th>2XL</th><th>3XL</th><th>4XL</th></tr></thead><tbody><tr><td>US (use1)</td><td>3.94</td><td>7.87</td><td>15.74</td><td>31.49</td><td>62.98</td><td>125.95</td><td>251.90</td><td>503.81</td></tr><tr><td>Japan (apn1)</td><td>5.60</td><td>11.21</td><td>22.42</td><td>44.83</td><td>89.66</td><td>179.33</td><td>358.66</td><td>717.31</td></tr><tr><td>South Korea (apn2)</td><td>5.41</td><td>10.82</td><td>21.65</td><td>43.30</td><td>86.59</td><td>173.18</td><td>346.37</td><td>692.74</td></tr><tr><td>Singapore (aps1)</td><td>4.92</td><td>9.84</td><td>19.68</td><td>39.36</td><td>78.72</td><td>157.44</td><td>314.88</td><td>629.76</td></tr><tr><td>Australia (aps2)</td><td>5.41</td><td>10.82</td><td>21.65</td><td>43.30</td><td>86.59</td><td>173.18</td><td>346.37</td><td>692.74</td></tr><tr><td>India (aps3)</td><td>5.41</td><td>10.82</td><td>21.65</td><td>43.30</td><td>86.59</td><td>173.18</td><td>346.37</td><td>692.74</td></tr><tr><td>Europe (euc1)</td><td>5.11</td><td>10.22</td><td>20.45</td><td>40.90</td><td>81.79</td><td>163.58</td><td>327.17</td><td>654.34</td></tr><tr><td>Canada (cac1)</td><td>4.43</td><td>8.86</td><td>17.71</td><td>35.42</td><td>70.85</td><td>141.70</td><td>283.39</td><td>566.78</td></tr><tr><td>UK (euw2)</td><td>5.32</td><td>10.63</td><td>21.26</td><td>42.53</td><td>85.06</td><td>170.11</td><td>340.22</td><td>680.45</td></tr></tbody></table>

{% hint style="info" %}
Prices in the table above are shown in **iCredits per hour**.
{% endhint %}

Tables in Base also incur a storage cost of **23 iCredits/TB/month**.

## Bench

{% hint style="info" %}
Bench workspaces always use **project** [**billing**](https://help.connected.illumina.com/connected-analytics/project/p-details), even when tenant billing is selected on their project.
{% endhint %}

This section provides information about workspace compute and storage pricing in Bench. For more information on the compute types, see [Compute types](https://help.connected.illumina.com/connected-analytics/project/p-flow/f-pipelines#compute-types)

<table data-full-width="false"><thead><tr><th>Bench Compute Type</th><th>iCredits/hr</th><th width="107">CPU</th><th>Memory (GiB)</th><th width="77">GPU</th><th>GPU Mem (GB)</th></tr></thead><tbody><tr><td>standard-small</td><td>0.352016</td><td>2</td><td>8</td><td></td><td></td></tr><tr><td>standard-medium</td><td>0.474656</td><td>4</td><td>16</td><td></td><td></td></tr><tr><td>standard-large</td><td>0.719936</td><td>8</td><td>32</td><td></td><td></td></tr><tr><td>standard-xlarge</td><td>1.210496</td><td>16</td><td>64</td><td></td><td></td></tr><tr><td>standard-2xlarge</td><td>2.191616</td><td>32</td><td>128</td><td></td><td></td></tr><tr><td>standard-3xlarge</td><td>4.383232</td><td>64</td><td>256</td><td></td><td></td></tr><tr><td>gpu-small</td><td>2.570400</td><td>8</td><td>61</td><td>1</td><td>16</td></tr><tr><td>gpu-medium</td><td>10.28160</td><td>32</td><td>244</td><td>4</td><td>64</td></tr><tr><td>gpu-large</td><td>20.56320</td><td>64</td><td>488</td><td>8</td><td>128</td></tr><tr><td>hicpu-small</td><td>1.176896</td><td>16</td><td>32</td><td></td><td></td></tr><tr><td>hicpu-medium</td><td>2.361296</td><td>36</td><td>72</td><td></td><td></td></tr><tr><td>hicpu-large</td><td>4.493216</td><td>72</td><td>144</td><td></td><td></td></tr><tr><td>himem-small</td><td>0.901376</td><td>8</td><td>64</td><td></td><td></td></tr><tr><td>himem-medium</td><td>1.573376</td><td>16</td><td>128</td><td></td><td></td></tr><tr><td>himem-large</td><td>4.261376</td><td>48</td><td>384</td><td></td><td></td></tr><tr><td>himem-xlarge</td><td>8.293376</td><td>92</td><td>700</td><td></td><td></td></tr><tr><td>hiio-small</td><td>0.457016</td><td>2</td><td>16</td><td></td><td></td></tr><tr><td>hiio-medium</td><td>0.684656</td><td>4</td><td>32</td><td></td><td></td></tr><tr><td>fpga2-medium<sup>1</sup></td><td>1.98</td><td>24</td><td>256</td><td></td><td></td></tr><tr><td>fpga2-large<sup>1</sup></td><td>3.96</td><td>48</td><td>512</td><td></td><td></td></tr></tbody></table>

Bench workspaces also incur a storage cost of **0.124 iCredits/GB/month**.

{% hint style="info" %}
For **Economy pricing** see the rates of the [Compute](#compute) table
{% endhint %}

{% hint style="warning" %} <sup>1</sup> **DRAGEN pipelines running on fpga2** compute type will incur a DRAGEN license cost of 0.10 iCredits per gigabase of data processed, with additional **discounts** as shown below.

* **80 or less** gigabase per sample - no discount - 0.10 iCredits per gigabase
* **> 80 to 160** gigabase per sample - 20% discount - 0.08 iCredits per gigabase
* **> 160 to 240** gigabase per sample - 30% discount - 0.07 iCredits per gigabase
* **> 240 to 320** gigabase per sample - 40% discount - 0.06 iCredits per gigabase
* **> 320 and more** gigabase per sample - 50% discount - 0.05 iCredits per gigabase

**DRAGEN Iterative gVCF Genotyper (iGG)** will incur a **license cost** of **0.6216 iCredits per gigabase**. For example, a sample of 3.3 gigabase human reference will result in 2 iCredits per sample. The associated **Compute costs** will be based on the compute instance chosen.

The **ORA (Original Read Archive) compression pipeline** is part of the DRAGEN platform. It performs lossless genomic data compression to reduce the size of FASTQ and FASTQ.GZ files (up to 4-6x smaller) while preserving data integrity with internal checksum verification. The ORA compression pipeline has a **license cost** of **0.017 iCredits per input Gbase**; decompression does not have an associated license cost.
{% endhint %}

{% hint style="warning" %}
The ***DRAGEN\_Map\_Align*** **pipeline running on fpga2** has the standard **DRAGEN license cost** of 0.10 iCredits per Gbase processed, with but replaces the standard volume discounts with the **discounts** shown below.

* **10 or less** gigabase per sample - no discount - 0.10 iCredits per gigabase
* **> 10 to 25** gigabase per sample - 30% discount - 0.07 iCredits per gigabase
* **> 25 to 60** gigabase per sample - 70% discount - 0.03 iCredits per gigabase
* **> 60 and more** gigabase per sample - 85% discount - 0.015 iCredits per gigabase
  {% endhint %}