Gigasheet vs Together
A detailed comparison to help you choose between Gigasheet and Together.
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Verdict: Together wins
Together scores 4.3/5, edging out Gigasheet at 3.7/5. 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.
Gigasheet Healthcare price transparency data and tools | Together Ultra-fast scalable AI model development platform | |
|---|---|---|
| Rating | 3.7 (1 review) | 4.3 (1 review) |
| Pricing Model | freemium | usage-based |
| Starting Price | Free tier available | Pricing varies |
| Best For | Healthcare contracting, benefits, and market-access teams who need to explore negotiated-rate and MRF data at scale without writing SQL — and analysts with multi-million-row CSVs who don't need to edit cells. | 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 featuresfree tierno code | team featuresapi access |
| Visit Gigasheet → | Visit Together → |
Gigasheet
Pros
- + The columnar grid really handles scale: a 4-million-row claims extract filtered and grouped in my testing in seconds, with no SQL anywhere
- + MRF Viewer flattens hospital machine-readable price JSON into a usable table on the fly — a real fix for one of healthcare data's worst formats
- + No-code transformation set is well chosen: split columns, bulk merge up to 100 files, grouping that replaces pivot tables, maps, and enrichment credits
- + Curation layer is the moat: 150B+ negotiated rates with scores and benchmarks (vendor figure) beats every general spreadsheet for healthcare contracting work
- + SOC 2 Type 2 attestation advertised and a 4.9/5 G2 average at time of writing (23 reviews, gigasheet.com/pricing badge and g2.com)
Cons
- - Read-only by design — you cannot type into cells, so cleaning has to happen upstream of Gigasheet
- - Pricing surfaces disagree: my checks showed a $295/yr badge alongside $75/user/mo annual and $95/mo list for Premium, which do not reconcile
- - JSON is explicitly unsupported on Premium Individual; MRF Viewer requires an annual commitment (gigasheet.com/pricing)
- - Exports cap around 1M rows per batch and free accounts face export limits and 1–3GB storage (third-party captures, Oct 2026)
- - The healthcare flagship products are all quote-gated, so the company's real business cannot be priced from the website
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, Gigasheet or Together?▼
Together scores higher at 4.3/5 vs 3.7/5 for Gigasheet, making it the better-rated option in our comparison.
What is the difference between Gigasheet and Together?▼
Gigasheet: Gigasheet turns hospital and insurer price transparency files into searchable data, letting payers and providers compare negotiated rates. Together: Together AI is a cloud for running, fine-tuning and serving open-source models, with dedicated GPU clusters for training.
Is Gigasheet or Together more affordable?▼
Gigasheet starts at €0/mo, Together starts at €0/mo. Check the comparison table above for current pricing.
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