GPT for Sheets and Docs vs Together
A detailed comparison to help you choose between GPT for Sheets and Docs and Together.
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Verdict: Together wins
Together scores 4.3/5, edging out GPT for Sheets and Docs 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.
GPT for Sheets and Docs AI-powered automation for Google Workspace | Together Ultra-fast scalable AI model development platform | |
|---|---|---|
| Rating | 4.2 (1 review) | 4.3 (1 review) |
| Pricing Model | freemium | usage-based |
| Starting Price | Free tier available | Pricing varies |
| Best For | SEO, e-commerce, sales-ops and research teams that need AI applied to hundreds or thousands of spreadsheet rows per week and want per-row cost control rather than a chat subscription. | 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 tierapi accessno code | team featuresapi access |
| Visit GPT for Sheets and Docs → | Visit Together → |
GPT for Sheets and Docs
Pros
- + Cell-level functions (GPT, GPT_TRANSLATE, GPT_EXTRACT, GPT_CLASSIFY) process thousands of rows independently, and in my 500-row test a deliberately exhausted credit balance reported the run as interrupted while preserving per-row success/failure counts
- + Pay-as-you-go to subscription economics with $25/month Standard including $25 of usage and shared extra-usage pools on Business at $45/seat — no per-seat AI lock-in for spiky agency workloads
- + Enterprise plumbing is real: ISO 27001 certification, SAML SSO on Enterprise, BYOK/custom endpoints, zero-data-retention options and a stated no-training policy (vendor documentation)
- + Model breadth across OpenAI, Anthropic, Google and others, with Autosheet MCP (shipped August 2026) letting Claude or ChatGPT drive the spreadsheet agent from an external client
- + Detailed usage reporting maps credit spend to tokens and requests, so I could price each bulk column before committing to a run
Cons
- - No permanent free tier: the trial credits run on a single model, so the multi-model selling point cannot be evaluated without subscribing ($25/month at time of writing)
- - Docs usage billing is not explained on the pricing page, which covers Sheets and Excel plans only
- - The mid-2026 rebrand to Autosheet means listing names, website and docs disagree for now — a mild tracking burden for buyers
- - Multi-account Google sign-ins trigger documented authorization errors; Workspace admins must allow add-on execution
- - The sidebar agent writes formulas but does not reason about cross-sheet business logic — tasks execute, outcomes are still yours to verify
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, GPT for Sheets and Docs or Together?▼
Together scores higher at 4.3/5 vs 4.2/5 for GPT for Sheets and Docs, making it the better-rated option in our comparison.
What is the difference between GPT for Sheets and Docs and Together?▼
GPT for Sheets and Docs: GPT for Sheets and Docs adds AI functions to Google Sheets and Docs for bulk writing, cleaning, classifying, enriching and translating data. Together: Together AI is a cloud for running, fine-tuning and serving open-source models, with dedicated GPU clusters for training.
Is GPT for Sheets and Docs or Together more affordable?▼
GPT for Sheets and Docs starts at €0/mo, Together starts at €0/mo. Check the comparison table above for current pricing.
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