Numeric vs Together
A detailed comparison to help you choose between Numeric and Together.
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Verdict: Together wins
Together scores 4.3/5, edging out Numeric 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.
Numeric AI-powered accounting automation and financial analysis | Together Ultra-fast scalable AI model development platform | |
|---|---|---|
| Rating | 4.1 (1 review) | 4.3 (1 review) |
| Pricing Model | paid | usage-based |
| Starting Price | From $99/mo | Pricing varies |
| Best For | Mid-market and enterprise accounting teams on NetSuite or Sage Intacct who want transaction-level close, reconciliation and flux automation and can run a sales-led evaluation. | 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 | api accessteam features | team featuresapi access |
| Visit Numeric → | Visit Together → |
Numeric
Pros
- + Transaction-level ERP sync (NetSuite) made reconciliation difference-finding work on specific transactions in my testing, not just red/green flags
- + Flux analysis produced structured first drafts with the right variance drivers — usable after a senior accountant adds judgment
- + Setup measured in days: import close checklist, connect GL, launch; far lighter than BlackLine-style implementations
- + Numeric MCP exposes close data and workflows to Claude/ChatGPT, and App Studio/Agent Builder extend the same data core
- + Real financial backing ($51M Series B, Nov 2025, $89M total) and demanding named customers (Wealthfront, Brex, OpenAI, Plaid)
Cons
- - No published pricing at any tier since late September 2026 — every module routes to a demo, and the former $30/user Essentials tier was removed
- - Onboarding and data migration are scoped and priced separately but only surface once you are in a sales conversation
- - Billing & Revenue and ERP Replacement are new and unproven relative to the close product; ASC 606 handling is early-stage
- - Outcome metrics on the site (33% close reduction, 3x output, 95% cash match) are vendor-reported, not independently verified
- - No self-serve trial or free tier — small teams cannot evaluate without a sales process
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, Numeric or Together?▼
Together scores higher at 4.3/5 vs 4.1/5 for Numeric, making it the better-rated option in our comparison.
What is the difference between Numeric and Together?▼
Numeric: Numeric is a platform for accounting teams covering the month-end close, reconciliations and reporting, with AI drafting variance explanations. Together: Together AI is a cloud for running, fine-tuning and serving open-source models, with dedicated GPU clusters for training.
Is Numeric or Together more affordable?▼
Numeric starts at €99/mo, Together starts at €0/mo. Check the comparison table above for current pricing.
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