ChatLLM vs Swirl

The short version

• ChatLLM: $10 Basic, $20 Pro, credits, automatic routing, agents, apps, image and video.
• Swirl: $5 Mini, $12 Turbo, $30 Mega, dollars, manual tiers, memory, artifacts, integrations.
• Choose ChatLLM for breadth and agents at the lowest price. Choose Swirl if the work continues tomorrow.

Price: what $10 and $12 actually buy

ChatLLM's Basic plan is $10 a month after a $7 first month, and includes 20,000 credits. Pro is $20 per user and includes 30,000 credits. Swirl's Turbo is $12 a month with a usage pool measured in dollars, and every paid plan reaches every model.

The headline is close enough that price should not decide it. Two dollars is one coffee. What decides it is what happens on the fiftieth message, when one product has a credit balance and the other has a memory.

Models: both reach the frontier

ChatLLM advertises 100+ models across OpenAI, Google, Anthropic, and open-weight providers, with RouteLLM picking one automatically when you leave it on Auto. Swirl runs tiers instead: Fast for everyday work, Heavy for hard problems, plus Auto and a separate model for image generation. Every paid Swirl plan can reach every tier.

Both route through third-party providers, so the practical difference is control. ChatLLM's default is to choose for you. Swirl lets you pick the tier and see what you are spending.

Memory: the real difference

ChatLLM keeps conversations and personal agents, and an agent can hold context for a workflow. Swirl's memory is a first-class object. It stores projects, preferences, and recurring context, brings the relevant parts into a new chat, and lets you read, add, edit, and delete entries, or turn the whole thing off.

That matters because the failure mode of a multi-model app is discontinuity. You switch models, and the new one knows nothing. A router without memory gives you a hundred strangers. A router with memory gives you one assistant with a hundred voices.

Credits against dollars

A credit is an internal unit. It protects the vendor's margin when different models cost different amounts, and it makes the customer do arithmetic before every heavy task. ChatLLM's 20,000 credits are not 20,000 messages. A long run on a frontier model spends far more than a short question on a small one.

Swirl meters in dollars. A plan includes a dollar pool, and a top-up buys one dollar of usage for one dollar, from $5 to $500. You still pay for heavy models, but the unit is the one on your bank statement.

Output and integrations

ChatLLM's edge is building things: apps with hosting and a database, slides, and agent runs. Swirl's edge is keeping things: living documents, visualizations, and integrations over MCP that can act in Gmail, Calendar, and Notion. One is a launchpad. The other is a desk.

Who should pick ChatLLM

• You want the lowest entry price with the widest tool set.
• You will actually use the app builder, slides, or agent runs.
• You are comfortable with credits and automatic routing.
• You switch tools often and do not need continuity.

Who should pick Swirl

• You return to the same projects across days and weeks.
• You want to choose the model rather than guess which one answered.
• You want a bill you can read without a conversion table.
• You want the output to stay editable instead of being copied into another app.

The two-dollar question

ChatLLM is a better deal on paper, and it may be the better product for a week of exploration. Swirl is the better product for the second week, when you should not have to explain the project again. That is what the extra two dollars buys, and it is the one claim a credit system cannot copy without becoming a different company.