> ## Documentation Index
> Fetch the complete documentation index at: https://docs.qbraid.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Pricing
## Credits
Access to both classical and quantum computing resources is managed through the qBraid credits system, which operates on a pay-as-you-go basis.
Each qBraid credit is worth \$0.01 USD, so a quantum job costing \$3.80 would subtract 380 credits from your qBraid balance. Credits can be
[purchased](https://account.qbraid.com/account/wallet) from your account page, or [redeemed](/v2/home/account#promo-codes) using a promo code.
You can check your current credit balance on your [account page](https://account.qbraid.com/account/wallet), in the [qBraid Lab](/v2/lab/user-guide/overview)
`JOBS` sidebar, or using the [qBraid-CLI](/v2/cli/api-reference/qbraid). Prices for both classical and quantum computing resources are subject to change.
## Quantum Computers (on-demand)
There are three pricing components for on-demand use of a quantum computer, or quantum processing unit (QPU), on qBraid: a per-minute fee, per-task fee, and per-shot fee.
A shot is a single execution of a quantum algorithm on a QPU. For example, a shot is a single pass through each stage of a complete quantum circuit on a gate-based QPU from IonQ, Rigetti, or OQC, or the time evolution of a Hamiltonian on a QPU from QuEra. A task is a sequence of repeated shots based on the same circuit design or Hamiltonian. You define how many shots you want included in a task when you submit it.
### Pricing Structure
* Per-minute pricing: Applies to specific QPUs (e.g., Rigetti Ankaa-3 via Azure) where execution time is billed
* Per-task pricing: Consistent across most QPUs (typically 30 credits)
* Per-shot pricing: Varies by QPU type (1-8 credits for current offerings)
For gate-based QPUs, neither per-shot nor per-minute prices are affected by the number or type of gates used. Note that error mitigation on IonQ's Aria QPU requires a minimum of 2,500 shots per task.
| Hardware Provider | QPU | Per-minute price | Per-task price | Per-shot price |
| :---------------- | :----------------- | :--------------- | :------------- | :------------- |
| AQT | IBEX Q1 | 0 credits | 30 credits | 2.35 credit |
| QuEra | Aquila | 0 credits | 30 credits | 1 credit |
| IQM | Garnet | 0 credits | 30 credits | 0.145 credits |
| IQM | Emerald | 0 credits | 30 credits | 0.16 credits |
| IonQ | Aria-1 | 0 credits | 30 credits | 3 credits |
| IonQ | Forte-1 | 0 credits | 30 credits | 8 credits |
| IonQ | Forte-Enterprise-1 | 0 credits | 30 credits | 8 credits |
| Rigetti (Amazon) | Ankaa-3 | 0 credits | 30 credits | 0.09 credits |
| Rigetti (Azure) | Ankaa-3 | 7800 credits | 0 credits | 0 credits |
| Rigetti (Azure) | Cepheus-1 | 12000 credits | 0 credits | 0 credits |
| Pasqal | Fresnel | 500 credits | 0 credits | 0 credits |
## Quantum Circuit Simulators
Verify your circuits using a simulator before you run it on a QPU, so you can fine-tune your circuit without incurring charges for QPU usage.
Although the results from running the circuit on a simulator may not be identical to the results from running the circuit on a QPU, you can
identify coding errors or configuration issues using a simulator.
| Provider | Name | Per-minute price | Access |
| ---------- | :------------------ | :--------------- | :------ |
| qBraid | QIR Simulator | 0 credits | public |
| AWS | DM1 | 7.5 credits | public |
| AWS | SV1 | 7.5 credits | public |
| AWS | TN1 | 27.5 credits | public |
| Rigetti | QVM Simulator | 0 credits | public |
| IonQ | Simulator | 0 credits | public |
| Quantinuum | H2-1 Syntax checker | 0 credits | public |
| Quantinuum | H2-1 Emulator | 0 credits | public |
| Pasqal | Emulator | 25 credits | public |
| Equal1 | Bell-1 Simulator | 12.5 credits | limited |
| NEC | Vector Annealer | 0 credits | limited |
qBraid offers ten on-demand quantum circuit simulators for testing quantum algorithms:
* qBraid QIR Simulator: employs sparse state vector simulation based on [arXiv:2105.01533](https://arxiv.org/abs/2105.01533).
* AWS State Vector 1 (SV1): serves as a general purpose quantum circuit simulator.
* AWS Density Matrix 1 (DM1): enables simulating the effect of noise on your circuits.
* AWS Tensor Network 1 (TN1): specializes in simulation of larger scale quantum systems.
* Rigetti QVM Simulator (Azure): Quantum Virtual Machine (QVM) open-source simulator.
* IonQ Simulator: supports "ideal" simulations as well as noise models for harmony (legacy), aria-1, aria-2, forte-1, and forte-enterprise-1.
* NEC Vector Annealer: executes proprietary algorithm for annealing processing on NEC’s vector supercomputer "SX-Aurora TSUBASA“
* Quantinuum H2-1 Syntax Checker: Validates quantum programs against the H2-1 compiler.
* Quantinuum H2-1 Emulator: Emulation tool containing a realistic noise model of the actual System Model H2 hardware.
* Pasqal Emulator: Neutral atom tensor network emulator. Runs on a cluster of DGX nodes with NVIDIA A100 GPUs.
* Equal1 Bell-1 Simulator: State-vector simulator supporting Equal1 Bell-1 QPU noise models; GPU acceleration available
All simulators automatically scale resources to ensure high-performance. Billing is based on a fixed per-task cost plus the duration
of each simulation, charged per minute in one-millisecond increments, with a minimum billing duration of three seconds per simulation.
The QPU and simulator lists above are subject to change and may be incomplete
or include options that are no longer available. For the most complete and
up-to-date list of quantum devices, visit your [account
page](https://account.qbraid.com/devices).
## CPUs and GPUs
All qBraid Lab compute instances are available to all users. CPU instances are billed using compute hours, while GPU instances are billed using credits.
### CPU Instances
CPU instances are included with your subscription plan and consume compute hours. Usage is tracked against your monthly compute hour allocation. See [usage guide](/v2/lab/user-guide/usage-limits) for more details on compute hour tracking.
| Instance | vCPU | VRAM | Credits/Min |
| :------- | :--- | :--- | :---------- |
| Small | 2 | 4GB | 0.23 |
| Medium | 4 | 8GB | 0.47 |
| Large | 8 | 25GB | 0.93 |
Your subscription includes a monthly [CPU hours](/v2/lab/user-guide/usage-limits#compute-hours) allocation; Small, Medium, and Large instances draw from that quota. If you exceed it, you can [auto-switch to credits](/v2/lab/user-guide/usage-limits#auto-switch-to-credits)—usage then bills in credits at the per-minute rates above instead of counting against your CPU hour quota.
### GPU Instances
GPU instances are billed per minute in credits. See [GPUs](/v2/lab/user-guide/gpus) for more details on launching and using GPU instances.
| Instance | GPU Type | vCPU | VRAM | Credits/Min |
| :---------------- | :------------------------ | ---: | :----- | :---------- |
| 8xB200-180GB-SXM6 | 8x NVIDIA B200 180GB SXM6 | 1 | 1536GB | 66.53 |
| 8xH100-80GB-SXM5 | 8x NVIDIA H100 80GB SXM5 | 200 | 640GB | 39.87 |
| 4xH100-80GB-SXM5 | 4x NVIDIA H100 80GB SXM5 | 100 | 320GB | 20.60 |
| 2xH100-80GB-SXM5 | 2x NVIDIA H100 80GB SXM5 | 50 | 160GB | 10.63 |
| 1xH100-80GB-SXM5 | 1x NVIDIA H100 80GB SXM5 | 25 | 80GB | 5.48 |
| 1xH100-80GB-PCIE | 1x NVIDIA H100 80GB PCIe | 25 | 80GB | 4.15 |
| 8xA100-80GB-SXM4 | 8x NVIDIA A100 80GB SXM4 | 235 | 640GB | 23.87 |
| 8xA100-80GB-SXM4 | 8x NVIDIA A100 80GB SXM4 | 240 | 640GB | 23.87 |
| 8xA100-40GB-SXM4 | 8x NVIDIA A100 40GB SXM4 | 120 | 320GB | 17.20 |
| 8xA100-40G | 8x NVIDIA A100 40G | 120 | 320GB | 17.20 |
| 1xA100-80GB-SXM4 | 1x NVIDIA A100 80GB SXM4 | 30 | 80GB | 2.15 |
| 1xA100-40GB-SXM4 | 1x NVIDIA A100 40GB SXM4 | 28 | 40GB | 2.15 |
| 1xA100-40G | 1x NVIDIA A100 40G | 4 | 40GB | 2.15 |
| 2xA6000-48GB | 2x NVIDIA A6000 48GB | 25 | 96GB | 2.67 |
| 2xA6000-48GB | 2x NVIDIA A6000 48GB | 28 | 96GB | 2.67 |
| 1xA10 | 1x NVIDIA A10 | 4 | 24GB | 1.25 |
| 8xV100 | 8x NVIDIA V100 | 92 | 128GB | 7.33 |
Additional GPU configurations may be available. Visit your [account
page](https://account.qbraid.com/) to see the full list of options.