Coworker vs. Martian
A side-by-side comparison based on G2 review data.
| Metric | Coworker | Martian |
|---|---|---|
| Overall rating | 4.8 | 4.2 |
| Review count | 12 | 13 |
| Ease of use | 9.4 | 8.7 |
| Ease of setup | 8.7 | 8.6 |
| Quality of support | 9.2 | 8.1 |
| Meets requirements | 9.2 | 9.2 |
| NPS | 91.666667 | 53.846154 |
| Small Business | 25.0% | 46.2% |
| Mid-Market | 75.0% | 38.5% |
| Enterprise | 0.0% | 15.4% |
| Total page views | 413 | 63 |
| Total LLM citations | 231 | 917 |
Coworker
Coworker is an enterprise AI platform that routes each task to the right model with the right context. Teams get frontier-quality outputs at about 82% lower cost per task, and run roughly 5x more inference per dollar than they would on direct Claude or OpenAI consumption. Overview. Coworker is built for companies whose AI usage is growing faster than their AI budget. As frontier model adoption has scaled, customers face a tradeoff between slowing down adoption and cutting headcount to control spend. Coworker takes a different approach.
Martian
Martian built the first model router, backed by $9M from NEA, General Catalyst, and Prosus Ventures. You can think of us like Google for LLMs: every time you send us a request, we automatically find and use the LLM which will give you the best result at the lowest cost. Engineers at 300+ companies, from Amazon to Zapier, have used Martian to achieve higher performance and lower costs, with greater security and reliability.
- Easy Integrations
- Features
- Implementation Ease
- AI Integration
- Setup Ease
- Performance Satisfaction