Arize AI vs Together AI
No clear leader: Together AI (72.8) and Arize AI (70.5) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Arize AI
An AI engineering platform that enables teams to observe agent behavior end-to-end, run evaluations at scale, and systematically improve agents through testing and experimentation, available as both a managed cloud service and self-hosted deployment.
Together AI
Together AI provides cloud infrastructure for hosting and serving open-source language, image, audio, and video models through serverless inference, reserved capacity, and dedicated GPU instances. The platform includes fine-tuning capabilities, batch processing, managed storage, and GPU cluster support for custom model development and training—eliminating the need for users to manage underlying infrastructure.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Arize AI
Pricing not documented yet.
Together AI
Usage-based pricing starting from $0.00014/1M tokens for serverless inference. Reserved capacity and dedicated GPU instances available; on-demand GPU pricing from $3.69/hour.
- Serverless InferenceFrom $0.00014–$15/1M tokens depending on model. Pay only for usage.
- 50+ open-source models
- Variable pricing by model and token type
- Batch API support
- Private endpoints
- Provisioned ThroughputReserved throughput capacity with 99% SLA. PTU-based pricing structure.
- Reserved token capacity
- 99% uptime SLA
- Token-based pricing model
- Production-grade reliability
- Dedicated Inference$3.69–$8.99 per GPU per hour (on-demand); reserved discounts available.
- Single-tenant GPU instances
- Guaranteed performance (no resource sharing)
- Custom model support
- Autoscaling for traffic spikes
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Arize AI
- OpenAI
- Anthropic
- Azure OpenAI
- AWS Bedrock
- Vertex AI
- Google GenAI
- NVIDIA NIM
- Gemini
- OpenRouter
- LiteLLM
- Claude Code
- Cursor
- OpenCode
- LangGraph
- Vercel AI SDK
- Mastra
- CrewAI
- LlamaIndex
- DSPy
- OpenAI Agents SDK
- Claude Agent SDK
- BigQuery
- Databricks
- Snowflake
- +1 more
Together AI
Not documented yet.
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.