Together AI
For AI developers
High-performance inference
Open-source model support
Research-driven platform
Scalable GPU compute
Accelerate AI development with a full-stack platform powered by cutting-edge research.
Last updated: Apr 15, 2026
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together.ai
Quick Answer
Together AI is a full-stack AI platform for developers and researchers, offering accelerated inference, model shaping, and GPU compute. It enables rapid prototyping, fine-tuning, and large-scale production deployment of open-source and custom AI models. Best for AI engineers and teams building and scaling AI-native products. Pricing is usage-based per token, image, video, or compute hour.
About Together AI
Together AI is a full-stack AI platform for developers and researchers, providing accelerated inference, model shaping, and GPU compute. It enables rapid prototyping, fine-tuning, and large-scale production deployment of open-source and custom AI models. The platform is built on cutting-edge systems research to deliver high performance and cost efficiency.
What Makes It Unique
Together AI differentiates itself with a research-optimized full-stack platform, offering features like FlashAttention-4 for faster inference, ATLAS for runtime-learning accelerators, and the Together Kernel Collection for accelerated pre-training on NVIDIA GPUs.
Use Cases & Target Users
Use Cases
Best For
Accelerating AI development lifecycle for engineers
Deploying open-source models at scale
Fine-tuning models with custom data
Processing massive AI workloads cost-effectively
Building voice agents for production
Researchers optimizing AI systems performance
Company Size
SMALL
MEDIUM
ENTERPRISE
Fit Score
Complexity
ADVANCED
Target Team Size
SMALL_TEAM
LARGE_TEAM
Target Skill Level
EXPERT
Key Features
Serverless inference for open-source models
Batch inference for massive asynchronous workloads
Dedicated model inference on custom hardware
Dedicated container inference for custom generative media models
GPU clusters for scalable compute
AI Factory for custom infrastructure at frontier scale
Technical Specifications
API Available
SDK Available
MCP Compatible
Open Source
Team Features
SSO/Enterprise
Webhook Support
Has Demo
Deployment:
CLOUD
Pros
- +Offers significantly faster inference powered by cutting-edge research (e.g., FlashAttention-4)
- +Provides lower costs through workload-specific optimization and zero egress fees for storage
- +Enables faster pre-training with Together Kernel Collection
- +Supports a wide range of leading open-source and custom AI models
- +Provides flexible deployment options including serverless, batch, and dedicated inference
- +Includes developer environments like Sandboxes for AI app and agent development
Limitations
- -Pricing is usage-based, which can become expensive for very high-volume use without careful management
- -Requires technical expertise for optimal use of advanced features like fine-tuning and GPU clusters
- -No explicit mention of a free tier with fixed credits, only usage-based pricing
- -No clear data residency options beyond general processing locations
Powered By
Base Models
Llama 2Mixtral 8x7BFalcon 180B
Uses Models
Llama 4 MaverickMiniMax M2.5Kimi K2.5GLM-5
Decision Intelligence
Best For
Accelerating AI development lifecycle for engineers
Deploying open-source models at scale
Fine-tuning models with custom data
Processing massive AI workloads cost-effectively
Building voice agents for production
Researchers optimizing AI systems performance
Not Ideal For
Non-technical users seeking a no-code AI solution
Individuals or small teams with very limited budgets for AI infrastructure
Users who require a simple, off-the-shelf AI application without customization
Organizations needing extensive, pre-built integrations with common business tools
Frequently Asked Questions
Your Actions
Dimension Scores
Ease of Use4/10
Output Quality8/10
Value for Money7/10
Customization6/10
Support7/10
Integration1/10
Task Scores
Performance Optimization
9
Code Completion
7
Code Explanation
7
Multi Language Support
7
Context Understanding
7
Bug Detection
6
Refactoring
6
Documentation Generation
6
Trust Score
50/100
Limited Data
Based on 5 verified signals
Trust Signals
Verified CompanyTogether Computer, Inc.
Notable CustomersDecagon, Cursor, Vercept +6
Funding$122M
Team Size11-50
Data Residency
Switching & Migration
Migration Difficulty
Moderate Effort
Data portable as:
API
Email support
Quick Stats
Company & Links