Standalone workspace
Use Krater on the web and native mobile apps without making a browser extension the center of your workflow.
The Merlin alternative that does more
Krater is the Merlin AI alternative that turns an extension assistant into a complete workspace.
Merlin comparison
Merlin is a browser extension assistant with access to multiple models. Krater is a standalone web, iOS and Android workspace with 350+ models, frontier image, video and voice, Krater Drive and one credit pool.
Krater pricing · AI model directory · AI image generator · TypingMind alternative
| Category | Merlin | Krater |
|---|---|---|
| Form factor | Browser extension focused | Web, iOS and Android workspace |
| AI models | Multiple models | 350+ official, vetted models |
| Image generation | Not publicly specified | Flux, Seedream and more |
| Video and voice | No video generation | Veo, Kling, Sora and ElevenLabs-grade voice |
| Files and projects | Limited standalone features | Krater Drive workspace |
| Credits | Extension quotas | One pool, 1,500 credits Pro |
| Pricing | About $19/mo | From $20/mo, full suite |
Highlights
More model variety
Switch among 350+ official, vetted models instead of a smaller multi-model extension catalog.
Full multimodal coverage
Add image, video, voice, music, code and Krater Drive to everyday chat workflows.
Frequently asked questions
What is the best Merlin AI alternative?
Krater is a strong Merlin AI alternative for people who want a standalone workspace with 350+ models, image, video, voice, code, files and native mobile apps.
How is Krater different from Merlin AI?
Merlin is browser-extension focused. Krater is a full web and mobile workspace with 350+ models, frontier creative tools and one shared credit pool.
Does Krater include the models Merlin users need?
Krater includes GPT, Claude, Gemini, Grok, DeepSeek and 350+ official, vetted models, plus image, video and voice models.
How much does Krater cost compared with Merlin AI?
Krater Pro is $20 per month with 1,500 credits across the full suite. Its value comes from model breadth and workspace continuity.