The enterprise AI conversation stopped being about raw benchmarks in 2026 and started being about cost, speed and fit. Teams that were paying for the biggest model available are now running smaller models for most work and reserving the frontier tier for the calls that actually need it. Comparing LLMs across those axes means running them side by side in your own workflow, which is what these seven desktop apps let you do.
What to look for in an enterprise LLM comparison app
- Single-pane view where you can send the same prompt to multiple models
- Cost telemetry per model, per call, per team
- Prompt library that respects team access controls
- Data residency options that match your compliance rules
- Local-model support for calls that must not leave the network
- Native desktop apps for the platforms your engineers actually use
Quick comparison
| App | Best for | Free plan | Starting price | User rating |
|---|---|---|---|---|
| ChatGPT Enterprise | Frontier reasoning and images | Trial via ChatGPT Team | Custom, contact sales | 4.6 |
| Claude for Enterprise | Long-context knowledge work | 14-day team trial | Custom, contact sales | 4.7 |
| Gemini for Business | Google Workspace teams | Workspace admin trial | Around $30/user/month | 4.4 |
| Perplexity Enterprise | Cited web research | Free tier available | Around $40/user/month | 4.5 |
| LM Studio | Local model comparison | Free | Free | 4.6 |
| Ollama | CLI-first local inference | Free | Free | 4.7 |
| Open WebUI | Self-hosted multi-model chat | Free open-source | Free | 4.7 |
The apps
1. ChatGPT Enterprise, best for frontier reasoning and images
ChatGPT Enterprise is OpenAI’s team tier. It ships with the highest-context models in the family, a shared prompt library scoped to the workspace, SAML SSO and SCIM provisioning, and admin controls that block chat data from being used for training by default. The macOS and Windows apps run locally and stay signed in via the workspace identity provider.
Where it falls short: pricing is negotiated and starts high, and prompt-library sharing scales awkwardly across sub-teams.
Pricing:
- Free: Trial available via ChatGPT Team, not the full Enterprise plan
- Paid: Custom pricing, contact OpenAI sales
Platforms: Windows, macOS, web, mobile.
Download: OpenAI ChatGPT Enterprise site · ChatGPT desktop app
Bottom line: ChatGPT Enterprise is the pick for teams whose day job runs on the frontier tier.
2. Claude for Enterprise, best for long-context knowledge work
Claude for Enterprise carries a 500K-plus context window on the top-tier model, which makes it the default choice for teams whose prompts include full contracts, RFP responses or a repository’s worth of code. Workspaces get SSO, audit logs, custom retention, and a project system that keeps prompts, files and outputs scoped to the group that owns them.
Where it falls short: no built-in image generation, and per-seat pricing scales quickly at large teams.
Pricing:
- Free: 14-day team trial via Anthropic’s site
- Paid: Custom pricing, contact Anthropic sales
Platforms: Windows, macOS, web.
Download: Anthropic Claude Enterprise site · Claude desktop app
Bottom line: Claude for Enterprise is the pick when the prompts are long and the context matters.
3. Gemini for Business, best for Google Workspace teams
Gemini for Business lives inside the Workspace admin console and lights up Gemini in Gmail, Docs and Sheets alongside a standalone chat surface. Every prompt runs on Google’s Vertex AI backend, which means data-residency settings match the customer’s Workspace region. The desktop experience is browser-first, but a first-party progressive web app runs like a native window on both Windows and Mac.
Where it falls short: model selection is thinner than ChatGPT’s, and features roll out unevenly across regions.
Pricing:
- Free: Included with some Workspace admin trials
- Paid: Around $30 per user per month, discounted with annual Workspace bundles
Platforms: Windows, macOS, web.
Download: Google Gemini for Business site · Gemini web app
Bottom line: Gemini for Business is the pick for teams whose everyday work already lives in Docs, Sheets and Gmail.
4. Perplexity Enterprise, best for cited web research
Perplexity Enterprise treats the web as the primary knowledge source. Every answer comes with inline source citations, spaces let teams share threads without granting full account access, and the admin panel exposes usage and export controls. The desktop apps for Windows and Mac keep a persistent side-panel that answers without leaving the current window.
Where it falls short: source citations occasionally point at aggregators rather than the primary source, and the free tier’s model selection is limited.
Pricing:
- Free: Basic tier with limited pro searches per day
- Paid: Around $40 per user per month for Enterprise Pro, custom pricing above 250 seats
Platforms: Windows, macOS, web, mobile.
Download: Perplexity Enterprise site · Perplexity desktop download
Bottom line: Perplexity Enterprise is the pick when the answer needs to survive an audit trail.
5. LM Studio, best for local model comparison
LM Studio is the free desktop app for running open-weight models on your own hardware. Discover, download, quantise, and chat with any GGUF model in a single window, and its side-by-side chat view runs two local models against the same prompt. An OpenAI-compatible local server exposes those models to your other apps.
Where it falls short: model performance depends heavily on your GPU, and larger models will not fit on consumer laptops.
Pricing:
- Free: All features included for individual use
Platforms: Windows, macOS, Linux.
Download: LM Studio site
Bottom line: LM Studio is the pick for teams evaluating open-weight models before committing to a hosted plan.
6. Ollama, best for CLI-first local inference
Ollama is the developer-favourite for local model management. A single command pulls a quantised model, another runs a chat REPL, and its REST API drops into any app that expects an OpenAI-compatible endpoint. Multi-model chaining works via shell pipes, which suits agentic workflows better than a GUI.
Where it falls short: no GUI in the box, and Windows support required WSL until recently.
Pricing:
- Free: Open-source
Platforms: Windows, macOS, Linux.
Download: Ollama site
Bottom line: Ollama is the pick when local model inference should feel like a Unix tool.
7. Open WebUI, best for self-hosted multi-model chat
Open WebUI is a self-hosted chat interface that sits in front of Ollama, LM Studio or any OpenAI-compatible endpoint. Multi-model chat lets you send one prompt to Claude, GPT and a local Llama simultaneously, and its role-based access controls scope prompts to a team. Docker Compose gets a working install running in minutes.
Where it falls short: hosting and maintenance are your problem, and upgrades occasionally require config migration.
Pricing:
- Free: Open-source, hosting costs vary
Platforms: Windows, macOS, Linux via Docker or Python.
Download: Open WebUI site · GitHub releases
Bottom line: Open WebUI is the pick for engineering teams that already run their own infrastructure.
How to pick the right one
If the frontier tier of GPT is the daily driver: ChatGPT Enterprise.
If prompts routinely include long documents or codebases: Claude for Enterprise.
If Docs, Sheets and Gmail are where the work happens: Gemini for Business.
If cited sources matter more than raw fluency: Perplexity Enterprise.
If open-weight model evaluation is the current phase: LM Studio.
If your engineers live in the terminal: Ollama.
If self-hosting a shared UI is on the table: Open WebUI.
