ToolPicker
Together AI (FLUX)

Together AI (FLUX)

36/100

Hosts FLUX.1 image models via serverless API, per image.

together.ai

// scorecard · 36/100

verified 1mo ago
methodology →
Agent-readiness14/35
Agent registration (api_key)6/9
Public API5/5
OpenAPI spec0/9
MCP server0/9
llms.txt3/3
Reliability & performance0/15
Actively maintained
Production-ready0/4
Updated recently
Pricing6/13
Itemized public pricing6/6
Free tier / trial0/4
Free-tier generosity0/3
Docs & DX2/12
Docs quality
Public API2/2
Quickstart / examples0/2
Security & compliance10/12
SOC 26/6
ISO 270012/2
GDPR0/2
Security / trust page2/2
Openness4/10
Open source0/6
Open / un-gated API4/4
Company maturity0/3
Company size
Years operating

// rankings · cost per standard workload

#3 in Image Generation$15.4/ 1k images

FLUX.1 [dev] $0.0154/image x1000 = $15.40/mo (schnell $2.70)

together.ai/pricing

// overview

Together AI provides a full-stack AI platform for inference, compute, and model shaping on open-source models. It offers serverless inference, batch inference, dedicated inference, GPU clusters (including B200, H100), fine-tuning, evaluations, and managed storage. The platform emphasizes research-driven optimizations for faster inference, lower costs, and accelerated pre-training.

Best for: Teams running open-source models for inference and training at scale

// pricing

Serverless Inferenceper 1M tokens
  • DeepSeek V4 Pro: $1.74 input / $3.48 output
  • MiniMax M3: $0.30 input / $1.20 output
  • Kimi K2.7 Code: $0.95 input / $4.00 output
  • GLM-5.2: $1.40 input / $4.40 output
  • Gemma 4 31B: $0.39 input / $0.97 output

// security & compliance

SOC 2 ISO 27001 GDPR HIPAA

// features

  • Serverless Inference APIs
  • Batch Inference
  • Dedicated GPU Clusters (B200, H100, etc.)
  • Fine-Tuning and Evaluations
  • Managed Storage for model weights
  • Model library with models like MiniMax-M3, Gemma 4 31B, DeepSeek V4 Pro

sources