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

Together AI records 1,645,930 monthly visits with +64.9% month-over-month growth and Freemium, Paid pricing. Weave (WorkWeave) records 13,482 monthly visits with -36.8% growth and Flexible pricing.

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 | together.ai | weaveos.com |
| Pricing Model | Freemium, Paid | Flexible |
| Monthly Visits | 1.65M (1,645,930) | 13.48K (13,482) |
| MoM Traffic Delta |
| +647.75K (+64.9%) |
| -7.85K (-36.8%) |
| Primary Market & Share | 🇺🇸 United States (36.3%) | 🇺🇸 United States (63.5%) |
|---|
| Direct Visits / mo | 882.21K | 11.25K |
|---|
| User Rating | 4.7 | 4.3 |
|---|
| Supported Platforms | Website | Website |
|---|

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.
Measure engineering work and AI's real contribution to it.
Brings AI metrics, DORA and SPACE-based benchmarks and developer feedback into one view so you can see where work stalls from prompt to production.
Relates AI-assisted usage to merges, quality and cost, with per-engineer AI usage and AI score reporting plus benchmarks against 1,000+ organisations.
Connects token and prompt spend to engineering output so you can see what you are getting for every AI dollar spent.
Weave Router classifies each prompt and routes it to the model with the best quality-per-token, learning from team feedback over time.

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.

Free / Open-sourceAI-powered terminal and agentic software factory for development teams

Offers similar low-cost serverless inference for open-weight models, but with a simpler pay-as-you-go pricing model.

Free / Open-sourceTrack, evaluate, and ship AI models and agents in one connected environment.

One API for fast, cost-predictable inference on LLMs and multimodal 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
Free / Open-sourceAI-powered terminal and agentic software factory for development teams
Free / Open-sourceTrack, evaluate, and ship AI models and agents in one connected environment.
One API for fast, cost-predictable inference on LLMs and multimodal models