Managed multi-vendor quantum cloud
- Version
- Braket SDK
- Cost
- Free local simulator in SDK. Pay-as-you-go pricing for tasks ($0.30 per task + per-shot fees) and hourly reservations.
- Model
- AQT IBEX-Q1
IBM · #1 most active of 18 in Quantum
Utility-scale superconducting processors with Qiskit Runtime primitives and error mitigation.
Trust score · Mixed
3 data points checked · 2026-11-02
Current version
Qiskit
Entry cost
Free tier · from $48/min
Changes / 30d
13
The short answers · verified November 7, 2026
Source: IBM — docs.quantum.ibm.com · Reusable under CC BY 4.0 — cite Tomorrow
Open Plan
Up to 10 minutes of runtime per month
Free
Pay-As-You-Go Plan
Starts at $96 USD / minute, billed per second of usage
$96
Flex Plan
Starts at $72 USD / minute (pre-purchase starting at 400 minutes per year)
$72
Premium Plan
Starts at $48 USD / minute (annual subscription starting at 5200 minutes per year)
$48
On-Prem Plan
Dedicated on-prem quantum system, price requires quote
Free
Entry price over time
100+ qubit processors
IBM
100+ qubit quantum processing units (QPUs)
Provider undisclosed
IBM Quantum fleet (100+ qubit processors)
IBM
Context window
5000 two-qubit gates
Public API
yes
Multi-model routing
no
Other tracked products running on the same foundation models — a quick read on how much of the catalog moves when one of these models changes.
green disclosed · amber inferred · grey unattributed. Aliases are folded into one model; provider concentration counts only models with an established vendor.
Reference data. Each figure is whatever the source actually said — weekly users, downloads, revenue run-rate — with its own definition and date. These are not comparable between tools and are never used to rank anything.
No public usage figure on record for this product.
IBM trades as NYSE: IBM. Figures below are as reported for Q2 2026 on Jul 22, 2026; market levels are the close on Aug 6, 2026 and are a reference marker, not a live quote.
Q2 2026 revenue
~$17B
+6% YoY
Managed multi-vendor quantum cloud
Willow superconducting processor
IonQ
Trapped-ion QPUs via cloud
Quantinuum
Trapped-ion QCCD systems
Microsoft
Quantum cloud plus resource estimation
D-Wave
Annealing and hybrid solvers
IBM Quantum Platform added 100+ qubit processors to its model stack
100+ qubit quantum processing units (QPUs), IBM Quantum fleet (100+ qubit processors)100+ qubit processors, 100+ qubit quantum processing units (QPUs), IBM Quantum fleet (100+ qubit processors)
sourceIBM Quantum Platform added IBM Quantum fleet (100+ qubit processors) to its model stack
100+ qubit quantum processing units (QPUs)100+ qubit quantum processing units (QPUs), IBM Quantum fleet (100+ qubit processors)
sourceQA auto-correction: model stack updated to 100+ qubit quantum processing units (QPUs) after a unanimous jury read of the source page
100+ qubit processors, 100+ qubit quantum processors, Heron r2 QPU, IBM Quantum fleet, IBM Quantum Fleet (100+ qubit processors), Qiskit, Qiskit Runtime, Qiskit SDK100+ qubit quantum processing units (QPUs)
sourceNew capabilities: Optimization / Transpiler, Primitives execution
80 tracked82 tracked · +Optimization / Transpiler, Primitives execution
sourceNew capabilities: Quantum-centric supercomputing
76 tracked77 tracked · +Quantum-centric supercomputing
sourceIBM Quantum Platform added IBM Quantum fleet to its model stack
100+ qubit processors, 100+ qubit quantum processors, Heron r2 QPU, IBM Quantum Fleet (100+ qubit processors), Qiskit, Qiskit Runtime, Qiskit SDK100+ qubit processors, 100+ qubit quantum processors, Heron r2 QPU, IBM Quantum Fleet (100+ qubit processors), IBM Quantum fleet, Qiskit, Qiskit Runtime, Qiskit SDK
sourceNew capabilities: IBM Quantum Accelerator offering
72 tracked73 tracked · +IBM Quantum Accelerator offering
sourceStraight head-to-head pages against the busiest products in Quantum.
Free to cite and reuse under CC BY 4.0. Permalink: https://tomorrow.aliensquad.ai/tools/ibm-quantum
Tomorrow. (2026). IBM Quantum Platform — version, pricing and model stack [Data set entry]. AlienSquad. Retrieved 2026-11-08, from https://tomorrow.aliensquad.ai/tools/ibm-quantum
@misc{tomorrow-tools-ibm-quantum,
author = {{Tomorrow}},
title = {IBM Quantum Platform — version, pricing and model stack},
year = {2026},
publisher = {AlienSquad},
howpublished = {\url{https://tomorrow.aliensquad.ai/tools/ibm-quantum}},
note = {Accessed: 2026-11-08}
}