Floqer vs Together
A detailed comparison to help you choose between Floqer and Together.
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Verdict: Together wins
Together scores 4.3/5, edging out Floqer 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.
Floqer Real-time CRM data enrichment and insights | 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 | B2B revenue teams of 5 to 100 people on Salesforce or HubSpot who want continuous, multi-source CRM enrichment and intent signals without per-seat pricing. | 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 featuresapi access | team featuresapi access |
| Visit Floqer → | Visit Together → |
Floqer
Pros
- + Waterfall enrichment across 100+ providers filled roughly half the direct-dial gaps my single-source benchmark left blank in a 40-record test
- + Unlimited seats on every plan, including the $49 tier — no per-user tax when the whole sales team wants access (floqer.com/pricing, at time of writing)
- + Flow builder shows the credit cost of each step before you run it, with admin spend caps and live per-member usage views
- + Workflow apps let reps run an admin-built flow as a one-click screen, and the Slack approval step worked exactly as configured in my test
- + Web agents return cited answers rather than unsourced prose, and an MCP server plus HTTP APIs make the platform drivable from Claude or Cursor
Cons
- - Per-action credit costs are not published anywhere on the website, so budgeting requires trial runs inside the builder
- - SSO, SAML, RBAC, SOC 2 Type 2 paperwork, and VPC deployment are all Enterprise-only, blocking security-conscious self-serve buyers
- - Multi-step web research runs took minutes per record and consumed several multiples of a simple lookup's credits in my testing
- - Coverage claims against ZoomInfo and Apollo are the company's own comparisons with no independent benchmark behind them
- - Founded in 2024 with a $2M pre-seed — the track record behind your revenue-data pipeline is two years long
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, Floqer or Together?▼
Together scores higher at 4.3/5 vs 3.7/5 for Floqer, making it the better-rated option in our comparison.
What is the difference between Floqer and Together?▼
Floqer: AI-powered platform that enhances CRM systems with real-time data enrichment and advanced analytics to improve sales performance and customer insights. Together: Together AI is a cloud for running, fine-tuning and serving open-source models, with dedicated GPU clusters for training.
Is Floqer or Together more affordable?▼
Floqer starts at €0/mo, Together starts at €0/mo. Check the comparison table above for current pricing.
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