Monday.com AI vs Together
A detailed comparison to help you choose between Monday.com AI and Together.
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Verdict: Together wins
Together scores 4.3/5, edging out Monday.com AI at 4.1/5. 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.
Monday.com AI AI-powered work automation for team projects and processes | Together Ultra-fast scalable AI model development platform | |
|---|---|---|
| Rating | 4.1 (1 review) | 4.3 (1 review) |
| Pricing Model | freemium | usage-based |
| Starting Price | Free tier available | Pricing varies |
| Best For | Teams already running projects on monday boards who want AI woven into columns, automations and meetings rather than bought as a separate assistant seat. | 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 Monday.com AI → | Visit Together → |
Monday.com AI
Pros
- + AI is bundled into the seat price — Basic at $9/seat/month (annual, 3-seat minimum) includes 1,000 credits/month, where ClickUp charges $9/user/month for Brain on top of the plan
- + The 24-hour per-item dedup on AI actions is real: re-running a summarize column on unchanged items drew no new credits in my ledger checks
- + A zero-credit tier (Formula Builder, Docs Assistant, AI board views, Deal Insights) does useful work without touching the metered pool
- + MCP support lets Claude, ChatGPT, Copilot and Cursor act on monday data directly, so teams living in an external assistant keep their workflow
- + AI Notetaker output held up in testing: stable speaker labels in small calls, action items assigned and dated, and one-click push back onto boards
Cons
- - The Free plan (2 seats) includes no AI at all — any AI usage requires a paid plan with a 3-seat minimum at $9/seat/month
- - Sidekick became a paid credit consumer in July 2026 (roughly 10–30 credits per simple message, 150+ for complex ones), so assistant-heavy users must budget or top up
- - Meeting-heavy teams burn credits fast: Notetaker runs about 120 credits per meeting hour, roughly 12% of a Basic account's monthly pool per hour-long meeting
- - Large boards lag — Capterra's review analysis repeatedly flags sluggish performance at scale, which AI column runs across big boards make worse
- - Trustpilot sits at 2.5/5 with complaints on billing, auto-renewals and support reachability, while software-review sites rate the product 4.6–4.7
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, Monday.com AI or Together?▼
Together scores higher at 4.3/5 vs 4.1/5 for Monday.com AI, making it the better-rated option in our comparison.
What is the difference between Monday.com AI and Together?▼
Monday.com AI: Work management platform with AI assistant for automating tasks, generating summaries, and creating project plans across teams. Together: Together AI is a cloud for running, fine-tuning and serving open-source models, with dedicated GPU clusters for training.
Is Monday.com AI or Together more affordable?▼
Monday.com AI starts at €0/mo, Together starts at €0/mo. Check the comparison table above for current pricing.
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