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

Gitmore records 1,021 monthly visits with -62.4% month-over-month growth and Freemium pricing. Together AI records 1,645,930 monthly visits with +64.9% growth and Freemium, Paid pricing.

Turn every commit and pull request into a Slack or email update

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 | gitmore.io | together.ai |
| Pricing Model | Freemium | Freemium, Paid |
| Monthly Visits | 1.02K (1,021) | 1.65M (1,645,930) |
| MoM Traffic Delta |
| -1.7K (-62.4%) |
| +647.75K (+64.9%) |
| Primary Market & Share | 🇺🇸 United States (100%) | 🇺🇸 United States (36.3%) |
|---|
| Direct Visits / mo | 401 | 882.21K |
|---|
| User Rating | 4.1 | 4.7 |
|---|
| Supported Platforms | Website | Website |
|---|

Turn every commit and pull request into a Slack or email update
Daily, weekly or monthly summaries of merged work and in-flight pull requests, generated by AI and delivered to Slack or email on your schedule and in your timezone.
Attributes each commit and pull request to a person or to an agent like Claude Code, Copilot, Cursor or Codex, so you can track AI share, merge rates and agent PRs waiting on review.
Branded, password-protected update pages written in plain language for clients, investors and executives, plus a public changelog and embeddable widget built from merged work.
Links tasks from Notion, Linear, Jira, Asana, ClickUp and Trello to the pull requests that implement them, flagging work that merged while the task stayed open.

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

AI-generated wikis and chat for any public GitHub repository
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.
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