Together vs Box
A detailed comparison to help you choose between Together and Box.
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Verdict: Together wins
Together scores 4.3/5, edging out Box 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.
Together Ultra-fast scalable AI model development platform | Box AI-powered cloud storage with content intelligence | |
|---|---|---|
| Rating | 4.3 (1 review) | 4.2 (1 review) |
| Pricing Model | usage-based | freemium |
| Starting Price | Pricing varies | Free tier available |
| Best For | 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. | Regulated mid-market and enterprise teams that need governed, auditable content sharing with e-signatures and can name the compliance regime they work under. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | team featuresapi access | api accessfree tierteam featuresssogdpr compliant |
| Visit Together → | Visit Box → |
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
Box
Pros
- + Permission granularity and activity tracking held up exactly as configured in my folder-tree test — watermarking and role-based sharing need no third-party DLP tool
- + Unlimited storage from the Business tier ($15/user/month annually) removes storage planning from the conversation entirely
- + Native e-signatures bundled at every tier make Box one of the cheapest routes to e-sign capability per PCMag's comparison
- + 1,500+ integrations, an MCP server for third-party AI agents, and 50K-200K API calls per month by tier make it a real platform, not just storage
- + Compliance ladder (SOC 1/2/3 from Business, HIPAA and FedRAMP from Enterprise) matches what regulated buyers must prove
Cons
- - External collaborators are paid accounts on the Business tier — partner-heavy teams must model that cost or pay the $120/user/year Business Plus premium
- - 3-user minimum on every business plan excludes one- and two-person teams entirely
- - Box AI is metered as its own budget line (AI Units + separate API call limits); org-wide AI use needs a forecast you have to negotiate
- - Prepaid and generally non-refundable terms, annual commitment for the year, and a 14-day trial that auto-charges a card at the end
- - No serious native authoring — docs, sheets, and slides live in the Microsoft 365 or Google Workspace integrations, so a chunk of value duplicates suites teams already pay for
Frequently Asked Questions
Which is better, Together or Box?▼
Together scores higher at 4.3/5 vs 4.2/5 for Box, making it the better-rated option in our comparison.
What is the difference between Together and Box?▼
Together: Together AI is a cloud for running, fine-tuning and serving open-source models, with dedicated GPU clusters for training. Box: Box is cloud content management for businesses, covering secure file storage, sharing, workflow and governance, with AI over stored documents.
Is Together or Box more affordable?▼
Together starts at €0/mo, Box starts at €0/mo. Check the comparison table above for current pricing.
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