Notion AI vs Together
A detailed comparison to help you choose between Notion AI and Together.
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Verdict: Together wins
Together scores 4.3/5, edging out Notion AI at 4.2/5. 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.
Notion AI AI built into your workspace | Together Ultra-fast scalable AI model development platform | |
|---|---|---|
| Rating | 4.2 (1 review) | 4.3 (1 review) |
| Pricing Model | free | usage-based |
| Starting Price | Free | Pricing varies |
| Best For | Teams already running their wiki, projects and meetings inside Notion who are ready to put everyone on the $20-per-member Business plan and want AI answers, meeting notes and agents without buying and policing a second AI tool. | 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 | team features | team featuresapi access |
| Visit Notion AI → | Visit Together → |
Notion AI
Pros
- + Full AI is bundled into the Business plan instead of metered — chat, generation, autofill and meeting notes at $20 per member per month billed yearly at time of writing (notion.com/pricing).
- + In my testing the workspace Q&A cited genuine source pages on specific lookups, hitting the right page with a working citation every time I asked a pointed question.
- + The Agent bulk-updated a 120-row database in a single run without duplicating records, and its plain-English formula generation produced 4 correct formulas out of 5 on the first attempt in my test.
- + Enterprise Search reaches beyond Notion — Slack, Google Drive, GitHub, Jira and Microsoft tools among them — so answers come from where the work happens, not just from the wiki (Notion May 2025 release).
- + Notion states it does not train on your content, and Enterprise plans get zero data retention with model providers (Notion Custom Agents announcement, 2025).
Cons
- - Full AI requires the whole workspace on Business at $20 per member per month billed yearly — a 10-person team pays $2,400 a year at those list prices even if two people touch the AI.
- - Custom Agents add a second meter at $10 per 1,000 monthly Notion credits from 4 May 2026, so unattended automation costs scale on top of seats (notion.com/blog/introducing-custom-agents).
- - Free and Plus get only a shared trial pool of AI responses; no AI connectors, no bulk database autofill, and guests cannot use AI on any plan (Notion help center).
- - Fair-use throttling is undocumented — Notion reserves the right to 'temporarily reduce' AI access with no numeric limit published anywhere I could find.
- - Headline features still carry beta labels (Enterprise Search, Research mode, Workers) and third-party testing reports a context ceiling around 50 pages per query.
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, Notion AI or Together?▼
Together scores higher at 4.3/5 vs 4.2/5 for Notion AI, making it the better-rated option in our comparison.
What is the difference between Notion AI and Together?▼
Notion AI: Notion AI is built into Notion's Business plan and writes, summarises and searches across your workspace and connected apps, plus takes meeting notes. Free and Plus get a limited trial. Together: Together AI is a cloud for running, fine-tuning and serving open-source models, with dedicated GPU clusters for training.
Is Notion AI or Together more affordable?▼
Notion AI starts at €20/mo, Together starts at €0/mo. Check the comparison table above for current pricing.
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