ClickUp AI vs Together
A detailed comparison to help you choose between ClickUp AI and Together.
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Verdict: Together wins
Together scores 4.3/5, edging out ClickUp AI at 4.0/5. Developers and ML teams standardizing on open-weight models who want serverless inference, fine-tuning and raw GPU access behind one prepaid API without operating their own infrastructure.
ClickUp AI AI-powered task management and workflow automation for teams | Together Ultra-fast scalable AI model development platform | |
|---|---|---|
| Rating | 4.0 (1 review) | 4.3 (1 review) |
| Pricing Model | freemium | usage-based |
| Starting Price | Free tier available | Pricing varies |
| Best For | Teams already standardized on ClickUp who want one AI layer across tasks, docs and chat and are willing to configure the workspace properly first. | Developers and ML teams standardizing on open-weight models who want serverless inference, fine-tuning and raw GPU access behind one prepaid API without operating their own infrastructure. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | free tierteam featuresssoapi access | team featuresapi access |
| Visit ClickUp AI → | Visit Together → |
ClickUp AI
Pros
- + One Brain subscription ($9/user/month at time of writing) replaces separate AI bills: unlimited AI writing, Brain Assistant, and AI chat routed to Claude, ChatGPT and Gemini inside the workspace
- + Super Agents and Autopilot Agents run recurring workflows on a schedule, metered at $0.01 per Super Agent credit ($10 for 10,000)
- + AI Fields, AI Assign and AI Prioritize embed AI in task management itself rather than sitting in a side panel
- + Everything AI ($28/user/month) bundles premium models, unlimited Talk to Text, Enterprise Search and the AI Notetaker in one price
- + Assistant summaries were accurate and well-structured in my testing on clean workspaces, correctly pulling blockers out of comment threads
Cons
- - No plan includes AI — Brain is $9/user/month on top of seats, Everything AI $28, plus Super Credits for agents, so three meters stack on one bill
- - Performance under load: Capterra's review analysis found speed complaints in 78% of negative reviews, and heavy views dragged in my testing on projects with hundreds of tasks
- - Documented learning curve — 1,752 G2 reviews cite it, and workspace setup realistically runs 2–4 weeks before AI output is trustworthy
- - The mobile app trails desktop in features and speed, with unreliable offline behavior
- - May 2026 workforce cut of about 22% in an AI-focused restructuring adds company-level uncertainty for long-term buyers
Together
Pros
- + LoRA fine-tuning from $0.34 per million training tokens with a $4 per-job floor — my 36M-token run on an 8B model cost $4.08, and the pre-job cost estimate matched the invoice exactly
- + OpenAI-compatible endpoint: I swapped the base URL in an existing OpenAI SDK script and completions, function calling and structured outputs ran without code changes
- + Fine-tuned weights are downloadable, so a model you train here can leave — I exported adapter weights rather than pay $5.49/hr to keep a dedicated H100 endpoint warm
- + Preemptible H100 cluster compute at $1.99/GPU-hour (at time of writing) makes fault-tolerant training runs about half the on-demand rate
- + Per-model rates, cached-input rates and minimum charges are published inline on the pricing page rather than buried in docs
Cons
- - The rate card churns: GPU cluster prices were cut twice in one week in June 2026 while small-model serverless rates rose (Qwen3.5 9B went $0.10 to $0.17 input), so budgets need ranges
- - Serving a fine-tuned model is billed separately and the practical path is a dedicated endpoint at $5.49/hr list for H100 — a $4 training job can cost four figures per month to serve
- - Prepaid credits only at the self-serve level: hit a zero balance and API access is suspended instead of billing an overage
- - No serverless embedding, rerank or moderation models at time of writing — those require dedicated model inference
- - Five parallel meters (serverless tokens, batch tokens, training tokens, GPU-hours, PTU-minutes) on one credit balance make cost attribution work for any finance team
Frequently Asked Questions
Which is better, ClickUp AI or Together?▼
Together scores higher at 4.3/5 vs 4.0/5 for ClickUp AI, making it the better-rated option in our comparison.
What is the difference between ClickUp AI and Together?▼
ClickUp AI: ClickUp is a work platform combining tasks, docs, goals and chat, with AI that writes, summarises and automates across them. Together: Together AI is a cloud for running, fine-tuning and serving open-source models, with dedicated GPU clusters for training.
Is ClickUp AI or Together more affordable?▼
ClickUp AI starts at €0/mo, Together starts at €0/mo. Check the comparison table above for current pricing.
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