
GITNUXSOFTWARE ADVICE
Music And AudioTop 10 Best Live Sound Mixer Software of 2026
Top 10 ranking of Live Sound Mixer Software for live audio setups, with technical comparisons of QLab, MainStage, and Ableton Live.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
QLab
Cue stack execution engine with per-cue timing, conditions, and transition behaviors.
Built for fits when show-control operators need declarative cue automation with external trigger integration..
MainStage
Editor pickConcert and patch documents with MIDI-triggered patch and parameter state changes.
Built for fits when a single operator needs repeatable cue-based mixing on one macOS system..
Ableton Live
Editor pickMax for Live device scripting for custom mixing control and effect automation within Ableton Live Sets.
Built for fits when performers need per-song mix recall with programmable routing and automation inside a single set..
Related reading
Comparison Table
The comparison table contrasts live sound mixer software across integration depth, focusing on how each tool connects to audio I/O, controllers, and show control systems through configuration, API, and extensibility. It also maps the underlying data model and automation surface, including schema design, provisioning options, throughput constraints, and the availability of RBAC plus audit log visibility for admin and governance controls. Use these rows to assess operational fit and tradeoffs for a specific workflow instead of treating mixing as a single feature set.
QLab
show controlStage cue software that runs playback and control workflows for live sound and show automation, with MIDI and network control.
Cue stack execution engine with per-cue timing, conditions, and transition behaviors.
QLab’s cue stack data model lets operators declare when each cue runs, what it triggers, and how it transitions to the next state. Documented automation hooks support both scheduled cue execution and event-driven control, with predictable sequencing tied to the show timeline. Extensibility comes from the ability to connect external devices and control endpoints, then bind those signals to cue actions and transport behaviors. Configuration is kept inside project documents, which supports provisioning of consistent show logic across venues.
A practical tradeoff appears in governance and multi-operator administration, since the primary control unit is the show document and not a centralized team environment. Teams that need RBAC boundaries and fine-grained audit log exports for every cue edit can hit limits compared with systems that treat show configuration as centrally administered resources. QLab fits situations where one operator maintains a show document and controls performance state during rehearsals and runs, then uses external triggers for automation.
- +Cue stack data model with deterministic sequencing and state transitions
- +Automation hooks support event-driven cue triggering during performances
- +Extensibility via external control inputs and cue-bound media actions
- +Project document configuration supports repeatable deployment across venues
- –RBAC granularity and role-scoped edits are limited versus centralized governance
- –Audit logging for every configuration change is not a first-class control plane
Best for: Fits when show-control operators need declarative cue automation with external trigger integration.
More related reading
MainStage
live performanceMac-based live performance software that routes instrument and audio processing and supports MIDI control for stage mixes.
Concert and patch documents with MIDI-triggered patch and parameter state changes.
MainStage organizes performance configuration as concert and patch documents that map to channel strip layouts, parameter states, and audio routing on macOS. Audio Unit support provides the core extensibility surface, which lets mixers standardize processing chains using the same plugin ecosystem found in other Apple pro audio workflows. Show control commonly uses MIDI input to trigger patch changes and parameter moves, which keeps rehearsal behavior consistent with gig behavior.
A key tradeoff is that the automation surface is primarily MIDI and patch-state driven, so it lacks the admin-grade RBAC, provisioning, and audit log controls seen in mixer-as-a-service products. MainStage fits well when one operator controls the system at the venue, and the team needs fast patch switching with a repeatable routing and processing schema.
- +Concert and patch documents persist channel strip state across shows
- +Audio Unit integration supports custom processing chains inside the mixer session
- +MIDI show control drives patch changes and parameter automation on cue
- +macOS audio routing and device selection stay consistent during rehearsals
- –No built-in RBAC, provisioning, or audit log for multi-operator governance
- –Remote API automation is limited compared with server-based mixer control surfaces
- –Automation is mainly MIDI and patch-state changes rather than general workflows
- –Performance configuration management is file-based rather than centrally managed
Best for: Fits when a single operator needs repeatable cue-based mixing on one macOS system.
Ableton Live
live DAWLive performance DAW that mixes and processes audio tracks with automation, MIDI control, and external hardware integration.
Max for Live device scripting for custom mixing control and effect automation within Ableton Live Sets.
Ableton Live’s integration depth shows in its unified arrangement and session view, where mixing moves can be automated alongside clip and effect states. The data model centers on tracks, clips, devices, and effect chains, with routing between audio and MIDI tracks defined per Live Set. Automation is declarative at the level of device parameters and track controls, and it can be captured, edited, and replayed with the same recall boundaries as the set.
A clear tradeoff is that Ableton Live does not provide the same enterprise-style API and admin governance controls as dedicated live mixer management tools. For usage, Live is a strong fit when a performance rig needs repeatable show control that ties fader moves and effect parameter changes to musical events. It also suits engineers who want custom mix behaviors through Max for Live devices that run inside the Live Set sandbox rather than through external orchestration.
For live sound mixing throughput, the practical limit is session complexity, since large numbers of tracks and devices increase CPU load and can affect buffer stability. A common situation is FOH or monitor mixing for an act that benefits from per-song recall, where automation and saved device states reduce manual intervention between songs.
- +Session and arrangement automation ties fader, device, and routing changes to musical timing
- +Device-based architecture makes recall consistent across tracks, effects, and MIDI control
- +Max for Live enables custom controllers and signal-processing blocks inside the set
- +Audio and MIDI hardware mapping supports practical show control without extra middleware
- –No mixer-style external control API with enterprise RBAC and audit logging
- –Project-level governance makes cross-show standardization harder than schema-based systems
- –Large device graphs can strain CPU and threaten buffer stability under heavy sessions
Best for: Fits when performers need per-song mix recall with programmable routing and automation inside a single set.
Reaper
live routingConfigurable multitrack audio workstation used for live mixing and playback with automation, routing, and low-latency options.
Routing and channel state recall with remote control oriented mixer automation
Reaper is a live sound mixer software built around an extensible routing and control workflow that maps directly to stage use cases. Its data model centers on channels, routing targets, and mixer state, which supports deterministic show recall and repeatable configuration.
Automation is handled through channel and routing changes that can be controlled programmatically, with an API surface focused on remote control rather than only local UI operations. Reaper’s integration depth is strongest when it can be treated as a controllable endpoint in a broader audio control setup with scripted configuration and repeatable provisioning.
- +Channel and routing model aligns with consistent show configuration
- +Remote control supports automated mixer state changes during rehearsals
- +Extensible interfaces support integration into scripted control workflows
- +Deterministic state recall supports repeatable live operations
- –Admin governance and RBAC features are not designed for enterprise workflows
- –Audit log depth for configuration changes is not a first-class automation surface
- –Higher complexity is needed to model large multi-room routing schemes
- –Automation relies on external orchestration for full lifecycle control
Best for: Fits when teams need scriptable remote mixer control with predictable show state.
Mixxx
open sourceOpen-source DJ and live mixing software with deck mixing, effects, audio routing, and extensible control mapping.
MIDI mapping and external control integration for deck, transport, and FX parameters
Mixxx performs real-time audio mixing and applies beat-synchronized effects with automation-friendly controls. It uses a structured internal data model for tracks, decks, routing, and mappings, which supports configuration and extensibility.
The software exposes a documented control surface via MIDI mappings and an API surface suitable for external software to drive decks and FX. Administrative governance is handled through the host configuration and mapping management rather than a centralized multi-user RBAC console.
- +Deck and FX states map cleanly to a controllable surface
- +MIDI mapping supports controller provisioning without custom code
- +Real-time automation works through its control and routing model
- +External control via API enables scripted mixing and testing
- –Centralized RBAC and audit log for operators are not built-in
- –Automation depends on correct mappings and configuration discipline
- –Governance for shared setups requires manual host-level procedures
- –Complex routing changes can be harder to templatize than GUI workflows
Best for: Fits when teams need repeatable deck control via mappings and automation without centralized admin tooling.
dBpoweramp
audio prepAudio utility suite used for audio conversion and preparation workflows that feed live playback chains.
Command line transcode automation with reusable processing profiles and consistent tagging behavior.
dBpoweramp is a media conversion and audio processing tool that fits live sound workflows only when audio routing and conversion are the priority. It provides a well-defined processing pipeline for encoding, transcoding, and metadata handling, which can reduce manual rework between capture, playback, and archive.
Integration depth is strongest through its command line interface and scripting use cases rather than a mixer-centric control model. Automation and governance rely on operational controls around batch jobs and file-based outputs, with limited native RBAC and audit logging for multi-admin environments.
- +Command line batch processing for repeatable audio conversion workflows
- +Strong metadata and tagging handling during transcode operations
- +Configurable processing profiles for consistent output settings
- +Script-friendly execution model for automation around files
- –Not a live mixer control surface with real-time audio mixing
- –Limited RBAC and audit log support for administrative governance
- –Automation is job based, not session state based
- –Throughput depends on local compute rather than shared mixer nodes
Best for: Fits when live teams need standardized audio conversion and metadata control around playback and archive files.
Hindenburg Journalist
audio productionBroadcast-focused editor and workflow tool for preparing and controlling audio segments for live or recorded mixes.
Session-based take organization with routing consistency across monitoring and export workflows.
Hindenburg Journalist targets live sound mixing workflows with an editorial-first interface and a project data model built around sessions, takes, and routing. Its integration depth centers on predictable configuration of audio chains, monitor mixes, and export-ready deliverables rather than ad hoc console scripts.
For automation and extensibility, the usable surface depends on how the environment interfaces with external audio I O and the project schema that drives those routes. Admin and governance controls are limited to what the workstation and project structure support, with no public emphasis on RBAC, audit logs, or centralized provisioning.
- +Editorial session structure maps clearly to routing and playback workflows.
- +Audio chain configuration stays consistent across takes and exports.
- +External audio I O integration supports practical live monitor and record use.
- +Project schema keeps session state readable for handoff and repeatability.
- –Limited documented automation and API surface for mixer control.
- –No public RBAC or audit-log controls for multi-user governance.
- –Automation via data model changes requires manual project operations.
- –Extensibility options appear constrained to supported workflow boundaries.
Best for: Fits when teams need repeatable session-based mixing with controlled routing and minimal API-driven operations.
Izotope RX
audio repairAudio repair and restoration suite used to clean signals before or during live workflows via batch and processing tools.
Spectral Repair tools that remove clicks, noise, and other artifacts via frequency-domain editing.
RX focuses on audio restoration and analysis, and it is not built as a multi-channel live sound mixer with session-level routing. Its integration depth centers on audio workflows like spectral repair, de-clip processing, and offline batch processing rather than live I/O orchestration.
Automation and API surface are limited compared with mixer-focused products, so provisioning, RBAC, and audit log controls are not its core governance model. Data handling revolves around audio files and processing states, which supports controlled editing throughput but not live mixing extensibility.
- +Spectral repair and de-noise target specific artifacts with frequency-domain tools
- +Workflow supports deterministic offline processing for consistent session results
- +Audio forensics features like spectral analysis help diagnose mic and venue issues
- –No live mixer data model for channel routing, busses, and monitor mixes
- –Limited automation and API surface for remote control or programmatic patching
- –No clear RBAC, audit log, or provisioning controls for multi-operator governance
Best for: Fits when live audio needs after-the-fact cleanup with repeatable, file-based processing.
VB-Audio VoiceMeeter
virtual mixerVirtual audio mixer that creates routing between microphones, system audio, and network audio for live mixing setups.
Channel-to-bus routing with per-input effects and configurable gain staging in a fixed signal flow.
VB-Audio VoiceMeeter controls live audio routing and mixing through a channel and bus layout that runs on the host OS. The configuration is expressed as a deterministic signal flow using input, effects, and output device assignments, which makes the data model easy to reason about.
Automation relies on external control via exposed parameters and host-side scripting methods, not on a published REST-style API surface. Admin and governance controls are limited because the core control plane is local to the running software session.
- +Deterministic channel and bus routing model for repeatable live signal flow
- +Local device provisioning ties inputs and outputs directly to OS audio devices
- +Effects inserts and gain staging are configurable per channel for granular control
- +Scriptable parameter control through external tooling and the host environment
- –No documented RBAC or multi-user governance for shared control stations
- –Automation depends on local control methods rather than a published API
- –State management is tied to the running session rather than a managed schema
- –Audit logging and change history are not available as first-class admin features
Best for: Fits when solo operators need controlled audio routing with local automation rather than team governance.
Gig Performer
performance automationMac and Windows performance system that automates sequences, MIDI, and audio control for live sound workflows.
Cue-driven show control that recalls scenes and parameters from performance timeline actions.
Gig Performer targets live sound workflows with a performance-first data model that links show actions to audio and MIDI events. It supports control surface mapping, scene recall, and banked preset management for repeatable sets.
Integration depth centers on MIDI I/O, OSC messaging, and device automation that ties hardware control to show logic. Automation and API surface are primarily extensibility through scripting and external control messaging rather than a broad admin-control layer like RBAC.
- +Scene and preset recall tied to performance cues reduces manual operator steps
- +MIDI and OSC integration supports external controllers and automated show triggers
- +Scripting enables custom automation for parameters and routing changes
- +Preset organization supports repeatable channel and bus configurations across shows
- –Admin governance is limited for team roles and audit requirements
- –Automation depends on integrations like MIDI and OSC rather than rich event APIs
- –Complex shows can require careful configuration to avoid cue drift
- –Data model customization is constrained compared with general-purpose automation platforms
Best for: Fits when touring operators need cue-driven automation using MIDI and OSC control sources.
How to Choose the Right Live Sound Mixer Software
This guide covers show-control and live mixing software workflows using QLab, MainStage, Ableton Live, Reaper, Mixxx, dBpoweramp, Hindenburg Journalist, Izotope RX, VB-Audio VoiceMeeter, and Gig Performer.
The focus stays on integration depth, data model behavior, automation and API surface, and admin governance controls across single-operator stations and multi-operator teams. Each section maps concrete mechanisms from these tools to real operational needs like cue recall, routing determinism, scripted control, and change control.
Software that turns live audio actions into cueable, recallable mixer state
Live Sound Mixer Software coordinates channel routing, effects, and performance changes so operators can recall consistent mixes during shows. Many tools tie mixer state to a persisted structure like cue stacks, concert documents, scenes, presets, or routing graphs to reduce manual reconfiguration. Tools like QLab and Gig Performer handle show logic by linking audio and control actions to cue execution, while Reaper and Mixxx focus on controllable routing and external control mapping.
These tools solve timing and repeatability problems such as reliable state transitions during performances, consistent routing across sessions, and controlled automation from MIDI and OSC or external endpoints. Teams use them for monitor and playback control, per-song mix recall, and cue-driven show automation where operator actions must map to deterministic configuration.
Evaluation criteria that map to cue timing, state schema, control automation, and governance
The data model decides whether show state is deterministic and recallable, which is why QLab cue stacks and Gig Performer scene recall matter for repeatable transitions. The integration and automation surface decides whether external triggers can drive mixer changes reliably without manual UI steps.
Governance controls decide whether multiple operators can safely work on shared configurations, which becomes a gap in tools like MainStage, Ableton Live, and Reaper that emphasize local workflows over centralized RBAC and audit logging. Each criterion below links to a specific mechanism in named tools.
Cue stack or scene-driven execution tied to deterministic state changes
QLab uses a cue stack execution engine with per-cue timing, conditions, and transition behaviors so cue logic maps directly to repeatable mixer and media actions. Gig Performer links show actions to performance cues and scene recall so parameter sets and routing changes trigger from MIDI and OSC messages.
Persisted configuration objects with a stable data model for recall
MainStage persists concert and patch documents that keep channel strip state across shows so MIDI-triggered patch changes stay consistent. Reaper centers channel and routing state recall so scripted remote control can reproduce predictable mixer configuration.
Documented automation hooks and external control inputs for workflow orchestration
QLab supports automation hooks via configurable cue relationships and scripted behaviors that can be invoked during performance. Mixxx exposes a documented control surface through MIDI mappings and an API surface for external software to drive decks and FX, which supports scripted mixing workflows.
API or integration surface that matches the control plane, not just local UI operations
Reaper emphasizes remote control oriented mixer automation with an API surface focused on remote control rather than only local UI. Ableton Live supports automation through MIDI and Max for Live, but its mixer-style external control API and enterprise RBAC and audit logging are limited, which changes governance expectations for multi-operator use.
Admin governance controls including RBAC and audit log depth
QLab has limited RBAC granularity and limited role-scoped edits compared with centralized governance, and audit logging for every configuration change is not a first-class control plane. MainStage, Ableton Live, and Reaper also lack built-in RBAC, provisioning, or audit log controls designed for multi-operator governance.
Signal routing data model that stays deterministic under live constraints
VB-Audio VoiceMeeter expresses routing as a deterministic signal flow using input, effects, and output device assignments so channel-to-bus mixing remains straightforward. VoiceMeeter effects inserts and gain staging are configurable per channel in a fixed signal flow, while VoiceMeeter’s governance surface stays local to the running session.
Pick a tool by aligning show logic, control integration, and change governance
Start with the control origin. If MIDI or OSC triggers must recall scenes and parameter sets during touring shows, Gig Performer is designed for cue-driven show control with those message types. If declarative cue automation must coordinate audio playback and show actions across a deterministic cue stack, QLab is the stronger match.
Then validate the control plane needs. If multiple operators must edit shared configurations with RBAC and audit log depth, most mixer-centric options in this list offer limited governance such as MainStage and Ableton Live, while QLab improves control-plane behavior but still lacks full configuration audit logging. The final step is checking whether automation is session state automation like cue execution or project playback automation like DAW timelines or file-based conversion workflows.
Map show triggers to the tool’s execution model
Choose QLab when cue logic needs per-cue timing, conditions, and transition behaviors inside a cue stack execution engine. Choose Gig Performer when scenes and preset recall must be driven by MIDI I/O and OSC messaging as performance cues fire.
Verify recall stability using the tool’s persisted configuration objects
Choose MainStage when concert and patch documents must persist channel strip state across shows on a macOS system. Choose Reaper when channel and routing state recall must reproduce predictable mixer configuration under remote control orchestration.
Check that external automation can drive the parameters that matter
Choose QLab when external control inputs must trigger cue-bound media actions and scripted behaviors during performance. Choose Mixxx when MIDI mapping plus an API surface must drive deck transport and FX parameters for repeatable automated control.
Plan governance around the control plane that actually exists
If team governance requires RBAC and deep audit logs for configuration changes, most named options are weak because MainStage, Ableton Live, Reaper, and Mixxx do not provide centralized RBAC and audit log depth. If centralized governance is required, teams need to treat the tool configuration lifecycle as a separate operational process rather than expecting the mixer software to provide a control plane.
Assign the right tool to non-mixer audio preparation work
Choose dBpoweramp when standardized audio conversion and metadata control around playback and archive files are the priority because it runs command line batch transcode automation with reusable profiles. Choose Izotope RX when spectral repair and de-noise are required as offline cleanup before or during file-based workflows because it is not a multi-channel live mixer control model.
Which operators and teams get the most control from these live mixer software mechanisms
Tool fit depends on how show logic is represented, how automation enters the system, and how configuration changes are managed. The products listed here split into cue-driven show control, document-based channel mixing, external mapping-driven deck control, and offline audio preparation helpers.
The segments below align to each tool’s best_for statement and the standout mechanisms that were described for that tool.
Show-control operators who need declarative cue automation with external trigger integration
QLab fits because its cue stack execution engine includes per-cue timing, conditions, and transition behaviors and because automation hooks can be invoked during performance. Teams that need cue-bound media and control actions often find QLab’s cue model matches operator workflow better than a DAW timeline model.
Single-operator macOS stage workflows that require repeatable cue-based mixing
MainStage fits when one operator runs rehearsals and shows from one macOS system because concert and patch documents persist channel strip state across shows. MIDI-triggered patch and parameter state changes keep configuration stable without building a remote governance layer.
Performers who need per-song mix recall inside one programmable set
Ableton Live fits when the mix is part of a rehearsed session because device-based architecture ties recall to tracks, effects, and routing. Max for Live enables custom mixing control and effect automation inside the Ableton Live set, which reduces the need for a separate cue-control app.
Teams that need scriptable remote mixer control with predictable show state
Reaper fits when the mixer must act as a controllable endpoint because routing and channel state recall support remote control oriented mixer automation. The tool works best when automation orchestration handles the full lifecycle because audit depth and enterprise governance controls are limited.
Touring operators who drive scenes and parameters from MIDI and OSC
Gig Performer fits touring workflows because cue-driven show control recalls scenes and parameters and because integration depth centers on MIDI I/O and OSC messaging. Scripting enables custom automation for parameters and routing changes while preset organization supports repeatable channel and bus configurations.
Common implementation pitfalls across live mixer software workflows
Many failures come from mismatches between the expected control plane and the tool’s actual automation and governance mechanisms. Cue timing problems often trace to using the wrong execution model for show triggers, and governance problems often trace to assuming enterprise RBAC exists when it does not.
The pitfalls below are grounded in the concrete cons described for named tools.
Assuming enterprise RBAC and audit logs exist for multi-operator governance
MainStage, Ableton Live, Reaper, Mixxx, and VB-Audio VoiceMeeter lack built-in RBAC, provisioning, or audit log controls designed as a centralized control plane. QLab improves role-scope behavior but limited RBAC granularity and limited configuration audit logging can still block strict change-control workflows.
Using a file-based or offline tool as a live mixer control surface
dBpoweramp is built for command line transcode automation around files and metadata, not real-time multi-channel mixing state. Izotope RX focuses on spectral repair and restoration tools with offline batch behavior, so it does not provide a live mixer data model for channel routing and monitor mix changes.
Overestimating what MIDI and local patch state can automate in shared workflows
MainStage automation mainly relies on MIDI and patch-state changes, so it lacks a remote multi-tenant API automation surface. Ableton Live also relies heavily on MIDI show control and Max for Live automation, which shifts governance to project-level practices rather than providing an enterprise mixer API.
Modeling complex routing without planning for state management complexity
Reaper routing and channel modeling aligns with deterministic show state but higher complexity is needed for large multi-room routing schemes, which can slow implementation. Mixxx deck and FX mapping works best when mappings and configuration discipline keep deck, transport, and FX states aligned to external control expectations.
How We Selected and Ranked These Tools
We evaluated QLab, MainStage, Ableton Live, Reaper, Mixxx, dBpoweramp, Hindenburg Journalist, Izotope RX, VB-Audio VoiceMeeter, and Gig Performer using the scored feature set, ease of use, and value values provided for each tool. Features carried the most weight in the overall rating at 40 percent, while ease of use and value each accounted for 30 percent in the weighted average used to produce the ranking. This editorial research uses criteria-based scoring against the described automation hooks, data models, integration surfaces, and admin governance controls rather than hands-on lab testing.
QLab separated from lower-ranked tools because the cue stack execution engine provides per-cue timing, conditions, and transition behaviors, and because automation hooks and cue-bound scripting can be invoked during performance. That combination lifted QLab primarily on the feature factor by aligning cue timing and state transitions with external trigger integration, while ease of use and value also remained high relative to the rest of the list.
Frequently Asked Questions About Live Sound Mixer Software
How do QLab and Gig Performer differ in cue execution for live shows?
Which tool supports the most deterministic show configuration on a single operator workstation?
What integration surfaces exist for automation, and how do Reaper and Mixxx compare?
Which products can be configured through a published API rather than only local UI actions?
How does Max for Live extend live mixing control in Ableton Live, and what tradeoff does it introduce?
What data model concepts affect migration when moving between tools like QLab and Hindenburg Journalist?
How should teams handle RBAC, audit logs, and provisioning when choosing between mixer tools and file-based processors?
Why are Izotope RX and dBpoweramp usually not treated as live sound mixer automation systems?
How do VoiceMeeter and Reaper differ in handling routing complexity for multi-device setups?
What is the fastest way to validate a new automation workflow before performance deployment?
Conclusion
After evaluating 10 music and audio, QLab stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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