
SpecialistProvides industry-leading proprietary frontier models and enterprise reliability, but completely lacks support for open-weight community models.

Semflow records 4,024 monthly visits with -15.8% month-over-month growth and Freemium, Free Trial pricing. Together AI records 1,645,930 monthly visits with +64.9% growth and Freemium, Paid pricing.

Get found on Google and in AI chats, without leaving your site builder.

Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | semflow.com | together.ai |
| Pricing Model | Freemium, Free Trial | Freemium, Paid |
| Monthly Visits | 4.02K (4,024) | 1.65M (1,645,930) |
| MoM Traffic Delta |
| -756 (-15.8%) |
| +647.75K (+64.9%) |
| Primary Market & Share | 🇺🇸 United States (100%) | 🇺🇸 United States (36.3%) |
|---|
| Direct Visits / mo | 1.58K | 882.21K |
|---|
| User Rating | 4.3 | 4.7 |
|---|
| Supported Platforms | Website | Website |
|---|

Get found on Google and in AI chats, without leaving your site builder.
Semflow checks every page of your site, ranks each issue by impact, and walks you through the fix inside your site builder so you always know where to start.
See whether ChatGPT, Perplexity, Gemini and Google's AI answers mention your site, find out what is holding you back, and track visibility as you improve.
Automatic re-audits catch problems before your clients do, with rankings, site score and AI visibility tracked over time in one dashboard.
A Chrome extension brings full site audits, keyword research and optimization guidance to any website on any platform, not just Webflow and Framer.

Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.

SpecialistProvides industry-leading proprietary frontier models and enterprise reliability, but completely lacks support for open-weight community models.


SpecialistRestricts API usage strictly to Gemini models, offering free prototyping tiers but lacking open-source model variety.
#2Aggregates hundreds of models through a single API, offering broader model choice than Together AI's hosted lineup.

Delivers dramatically faster token generation speeds using custom hardware, though with a more limited model selection.

SpecialistOne API for 1,500+ production-ready generative media models

Focuses heavily on deploying custom machine learning models and media generation pipelines alongside standard text LLMs.
Free / Open-sourceOpen-source, memory-efficient fine-tuning and local model running
Provides exceptionally fast inference speeds and robust fine-tuning tools, competing directly on open-source model deployment performance.

Offers similar low-cost serverless inference for open-weight models, but with a simpler pay-as-you-go pricing model.
One API for fast, cost-predictable inference on LLMs and multimodal models
Delivers competitive serverless pricing and GPU instances, but features a slightly less refined developer dashboard experience.

Free / Open-sourceServerless, decentralized inference for open-source AI models
SpecialistProvides industry-leading proprietary frontier models and enterprise reliability, but completely lacks support for open-weight community models.
SpecialistRestricts API usage strictly to Gemini models, offering free prototyping tiers but lacking open-source model variety.
Aggregates hundreds of models through a single API, offering broader model choice than Together AI's hosted lineup.
Focuses heavily on deploying custom machine learning models and media generation pipelines alongside standard text LLMs.
Free / Open-sourceOpen-source, memory-efficient fine-tuning and local model running
One API for fast, cost-predictable inference on LLMs and multimodal models