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FlexAI vs Roboflow

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

FlexAI compared with Roboflow
DetailFlexAI logo FlexAIRoboflow logo Roboflow
What it doesAgent-native AI infrastructure for building, running and scaling AI from models to agents Vision AI platform for companies that run in the physical world
StageNot given Established
FoundedNot given 2020
Based inFR Not given
Pricing modelFreemium Freemium
PricingToken Factory: per-token pricing from $0.010/M tokens (BGE-M3) to $0.700/M tokens (GLM 5.2) for input, with output tokens at higher rates; image generation from $0.0005 per image (FLUX.1); speech-to-text from $0.0002/min; text-to-speech at $0.99/M characters; Dedicated GPU: H100 from $2.10/hr, H200 Free Tier: $0 with 10 credits/month. Core: $39/month with 20 credits total, or $89-$1,399/month for 35-500 credits. Enterprise: Custom pricing. Additional prepaid credits starting at $4, on-demand credits at $6.
Key features
  • Token Factory: serverless inference with 30+ open models through single OpenAI-compatible key
  • AgentOS: governed agent execution with tools, approvals and audit trails
  • OpenAI-compatible API for text, vision, image, video and audio models
  • Dedicated Endpoints with reserved GPU capacity and autoscaling
  • AI Factory for VPC, on-premise and air-gapped private cloud deployment
  • Fine-tuning with managed runs supporting SFT, DPO and GRPO
  • Multi-model inference with intelligent routing and model switching
  • Up to 99.9% uptime SLA with GDPR and SOC 2 Type II compliance
  • Support for multiple runtimes and hardware accelerators including NVIDIA and AMD
  • Blueprints library with ready-to-run templates for inference and fine-tuning
Not given
What makes it different
  • Single OpenAI-compatible API key across 30+ models with no ecosystem lock-in
  • Transparent pricing at credible market rates with automatic repricing as market moves
  • Unified path from serverless inference to dedicated capacity to private cloud on same platform
  • Multi-architecture fleet using NVIDIA and AMD for high utilization and lower cost per token
  • Agent-native platform with governed execution, tool calls and audit trails for production workloads
  • Single end-to-end platform covering labeling, training, and deployment
  • Free self-hosted inference and model weights on all plans
Community votes00
DR (Domain Rating by Ahrefs)42 +1 (up) since last check78 no change since last check
Trust Flow (Majestic)1023
Citation Flow (Majestic)3551
Referring domains (Majestic)2724842

4 details filled in for both companies.

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