Together AI VS ADE
Compare Together AI VS ADE, what is the difference between Together AI and ADE?
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Summarize
Together AI summarize
Together AI Landing Page
ADE summarize
Use any coding subscription you already pay for, in one synced app that runs on web, desktop, terminal, and mobile. All your chats stay synced between all ade surfaces. Run agents from your laptop, continue the conversation from your phone at dinner, then later finish it off from another computer by simply using the web client. All subs, all in one place. Fully free and open source!
ADE Landing Page
Compare Details
Together AI details
| Categories | AI Developer Tools, AI API, AI Models, Open Source AI Models, Large Language Models (LLMs) |
| Together AI Website | https://www.together.ai?utm_source=toolify |
| Added Time | June 22 2025 |
| Together AI Pricing | -- |
ADE details
| Categories | AI Developer Tools, AI Code Assistant, AI Agent, AI Copilot |
| ADE Website | https://ade-app.dev?utm_source=toolify |
| Added Time | August 06 2026 |
| ADE Pricing | -- |
Comparison of usage
How to use Together AI?
Users can interact with Together AI through easy-to-use APIs for serverless inference or deploy models on custom hardware via dedicated endpoints. Fine-tuning is available through simple commands or by controlling hyperparameters via API. GPU clusters can be requested for large-scale training. The platform also offers a web UI, API, or CLI to start or stop endpoints and manage services. Code execution environments are available for building and running AI development tasks.
How to use ADE?
Install ADE on macOS, Linux, or Windows, then open a repository and create a lane, which is an isolated Git worktree for a task. Choose an AI coding agent, describe the requested change in chat, and let the agent work in the lane. Review files, diffs, tests, terminal output, pull requests, and proof artifacts inside ADE. Commit, push, create, review, and merge pull requests without leaving the workspace. The same lanes and conversations can be accessed through the desktop app, terminal, web client, and iOS companion.
Compare Pros between Together AI and ADE
Core features of Together AI
- Serverless Inference API for open-source models
- Dedicated Endpoints for custom hardware deployment
- Fine-Tuning (LoRA and full fine-tuning)
- Together Chat app for open-source AI
- Code Sandbox for AI development environments
- Code Interpreter for executing LLM-generated code
- GPU Clusters (Instant and Reserved) with NVIDIA GPUs (GB200, B200, H200, H100, A100)
- Extensive Model Library (200+ generative AI models)
- OpenAI-compatible APIs
- Accelerated Software Stack (e.g., FlashAttention-3, custom CUDA kernels)
- High-Speed Interconnects (InfiniBand, NVLink)
- Robust Management Tools (Slurm, Kubernetes)
Core features of ADE
- Run multiple AI coding agents in one synchronized workspace
- Create isolated Git worktrees and parallel development lanes
- Synchronize chats, worktrees, diffs, and agent sessions across desktop, terminal, web, and iOS
- Review, create, and merge pull requests within the app
- Grid view for monitoring multiple agent runs side by side
- Subagents and project-level CTO automation
- Automatic worktree creation from task descriptions
- Built-in browser, Files, Git, and iOS simulator tools
- Remote machine runtimes with full agent tool access
- Linear issue integration
- Stacked lanes, worktree graphs, and conflict-risk visibility
- Terminal-native ADE Code interface
Compare Use Cases
Use cases for Together AI
- Accelerating AI model training and inference for enterprises (e.g., Salesforce, Zoom, InVideo)
- Building AI customer support bots that scale to high message volumes (e.g., Zomato)
- Developing production-grade AI applications by unlocking data for developers and businesses
- Creating next-generation text-to-video models (e.g., Pika)
- Building cybersecurity models (e.g., Nexusflow)
- Achieving simpler operations, improved latency, and greater cost-efficiency for AI models (e.g., Arcee AI)
- Developing custom generative AI models from scratch
- Performing multi-document analysis, codebase reasoning, and personalized tasks
- Managing complex tool-based interactions and API function calls
- Generating and debugging code with advanced LLMs
- Executing visual tasks with advanced visual reasoning and video understanding
- Data tasks such as classification and structured data extraction
Use cases for ADE
- Develop multiple software features in parallel without agents interfering with each other
- Ask an AI coding agent to implement a feature in an isolated Git worktree
- Review an agent-generated diff and approve it from a mobile device
- Monitor several AI coding sessions simultaneously using grid view
- Create and merge GitHub pull requests without opening GitHub separately
- Run coding agents on a remote Linux machine while controlling them from a laptop or phone
- Use a built-in browser to test web interfaces and capture proof of completed work
- Connect Linear issues to development lanes and pull requests
Different Plan between Together AI and ADE
Together AI
Varies by model and token count
Prices are per 1 million tokens (input and output for Chat, Multimodal, Language, Code; input only for Embedding; image size/steps for Image models). Batch inference is available at an introductory 50% discount. Specific model prices range from $0.06 to $7.00 per 1M tokens depending on model size and type.
Varies by GPU type, per minute/hour
Deploy models on customizable GPU endpoints with per-minute billing. Supports various NVIDIA GPUs like RTX-6000, L40, A100, H100, H200. Prices range from $0.025/minute ($1.49/hour) for RTX-6000/L40 to $0.083/minute ($4.99/hour) for H200.
Per 1M Tokens processed
Pricing is based on model size, dataset size, and number of epochs. Supervised Fine-tuning (LoRA) ranges from $0.48 to $2.90 per 1M tokens. Full Fine-tuning ranges from $0.54 to $3.20 per 1M tokens. DPO (LoRA) ranges from $1.20 to $7.25 per 1M tokens. DPO (Full FT) ranges from $1.35 to $8.00 per 1M tokens.
Starting at $1.30/hour
State-of-the-art clusters with NVIDIA Blackwell and Hopper GPUs (H200, H100, A100) for optimal AI training and inference. H200 starts at $2.09/hr, H100 at $1.75/hr, A100 at $1.30/hr. GB200 and B200 pricing requires contact.
Per hour or per session
Together Code Sandbox is priced per vCPU ($0.0446/hour) and per GiB RAM ($0.0149/hour). Together Code Interpreter is priced per session ($0.03 for 60 minutes).
ADE
Free
Free and open-source application with desktop, terminal, web, and iOS access. No detailed usage quota or paid package information is provided.
Together AI's traffic
Together AI is the one with 838.4K monthly visits and 00:01:57 Avg.visit duration. Together AI has a Page per visit of 3.15 and a bounce rate of 42.30%.
Visit Over Time
| Monthly Visits | 838.4K |
| Avg·visit Duration | 00:01:57 |
| Page per Visit | 3.15 |
| Bounce Rate | 42.30% |
ADE's traffic
ADE is the one with 745 monthly visits and 00:00:00 Avg.visit duration. ADE has a Page per visit of 1.08 and a bounce rate of 44.98%.
Visit Over Time
| Monthly Visits | 745 |
| Avg·visit Duration | 00:00:00 |
| Page per Visit | 1.08 |
| Bounce Rate | 44.98% |
Geography
The top 5 countries/regions for Together AI are:United States 28.99%, India 10.64%, Pakistan 6.88%, Thailand 3.39%, China 2.11%
Top 5 Countries/regions
 | 28.99% |
 | 10.64% |
 | 6.88% |
 | 3.39% |
 | 2.11% |
Geography
The top 1 countries/regions for ADE are:United States 100.00%
Top 1 Countries/regions
| 100.00% |
Traffic Sources
The 6 main sources of traffic to Together AI are:Direct 39.42%, vs_sourcesSearchOrganic 33.83%, Referrals 10.70%, vs_sourcesSearchPaid 7.11%, vs_sourcesSocialOrganic 4.46%, vs_sourcesGenAi 3.15%, Mail 0.79%, vs_sourcesSocialPaid 0.31%, vs_sourcesDisplayAds 0.22%, vs_sourcesAffiliate 0.00%
Direct | 39.42% |
vs_sourcesSearchOrganic | 33.83% |
Referrals | 10.70% |
vs_sourcesSearchPaid | 7.11% |
vs_sourcesSocialOrganic | 4.46% |
vs_sourcesGenAi | 3.15% |
Mail | 0.79% |
vs_sourcesSocialPaid | 0.31% |
vs_sourcesDisplayAds | 0.22% |
vs_sourcesAffiliate | 0.00% |
Traffic Sources
The 6 main sources of traffic to ADE are:Mail 0, vs_sourcesGenAi 0, Direct 0, vs_sourcesAffiliate 0, Referrals 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
Mail | 0 |
vs_sourcesGenAi | 0 |
Direct | 0 |
vs_sourcesAffiliate | 0 |
Referrals | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Which is better: Together AI or ADE?
Together AI might be a bit more popular than ADE.As you can see, Together AI has 838.4K monthly visits, while ADE has 745 monthly visits. So more people choose Together AI. So the odds are that people will recommend Together AI more on social platforms.
Together AI has an Avg.visit duration of 00:01:57, while ADE has an Avg.visit duration of 00:00:00. Also, Together AI has a page per visit of 3.15 and a Bounce Rate of 42.30%. ADE has a page per visit of 1.08 and a Bounce Rate of 44.98%.
The main users of Together AI are United States, India, Pakistan, Thailand, China, with the following distribution: 28.99%, 10.64%, 6.88%, 3.39%, 2.11%.
The main users of ADE are United States, with the following distribution: 100.00%.
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