Model tiers
c0mpute offers two tiers, each running a different model on different infrastructure.
Pro — Qwen3 8B Uncensored
- Cost: 10 credits per message
- Runs in browser workers via WebGPU
- ~4.3GB model download, ~6GB VRAM required
- Uncensored — won't refuse topics based on corporate content policies
- Higher quality reasoning and longer, more detailed responses
Pro uses a custom abliterated build of Qwen3 8B, with refusal behavior removed. It answers what you ask without moralizing or deflecting. This is the default tier.
Max — Qwen3.5 27B abliterated
- Cost: 15 credits per message (20 with deep thinking)
- Runs on native workers via ollama
- High-VRAM GPU required on the worker's machine (20GB+ recommended, e.g. RTX 3090/4090)
- Uncensored — abliterated (refusal behavior surgically removed)
- Web search — can search the internet and cite sources
- Vision — accepts image input
- Thinking mode — extended reasoning before answering
- Best quality responses across all tiers
Max is the premium tier. It runs on dedicated native workers with powerful GPUs, delivering the highest quality responses in the network.
Credit costs at a glance
| Tier | Credits/msg | USD cost |
|---|---|---|
| Pro | 10 | $0.10 per message |
| Max | 15 (20 w/ deep thinking) | $0.15 per message ($0.20 w/ deep thinking) |
Credits are priced at $0.01 each and bought with USDC.
Credits are deducted when you send a message. If a job fails or you disconnect, credits are refunded automatically.
What "uncensored" means
Corporate AI models (ChatGPT, Claude, Gemini) are trained to refuse certain topics. Ask about anything the company considers sensitive and you get a refusal. These aren't safety features — they're content policies imposed by corporations.
Uncensored models like the abliterated Qwen builds c0mpute runs have had this refusal training removed. They answer your questions directly without corporate-imposed restrictions.
Web search (Max only)
When you use Max tier, the orchestrator runs a web search using the Brave Search API before sending your prompt to the worker. It fetches the top results, extracts relevant content, and includes it as context. The model generates a response grounded in current web data and cites its sources.
This means Max tier can answer questions about recent events, look up current information, and provide sourced responses — something no browser-based tier can do.