Freemium
Leading digital analytics platform for product insights and customer journey analytics
analyticsproduct analyticscustomer insights
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Pricing
Freemium
Use cases
Developers selecting an LLM provider based on real-time performance metrics like Time To First Token and Tokens Per Second (verified: 2026-01-29), System architects comparing regional latency differences between US West, US East, and Europe data centers (verified: 2026-01-29), Product managers evaluating the total response time for different prompt types including text, function, image, and audio (verified: 2026-01-29)
Strengths
The platform provides daily updated statistics for LLM performance across multiple global regions including Seattle, Virginia, and Paris (verified: 2026-01-29), Users can track specific performance indicators such as Time To First Token to understand how quickly a model begins outputting text (verified: 2026-01-29), The service allows for benchmarking across diverse prompt modalities including text, function calls, image processing, and audio tasks (verified: 2026-01-29)
Limitations
The benchmarking data is limited to specific geographic regions and does not cover all global data center locations (verified: 2026-01-29), Users must file an issue on GitHub to request the addition of new models not currently tracked by the system (verified: 2026-01-29)
Last verified
Jan 29, 2026
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Strengths
- The platform provides daily updated statistics for LLM performance across multiple global regions including Seattle, Virginia, and Paris (verified: 2026-01-29)
- Users can track specific performance indicators such as Time To First Token to understand how quickly a model begins outputting text (verified: 2026-01-29)
- The service allows for benchmarking across diverse prompt modalities including text, function calls, image processing, and audio tasks (verified: 2026-01-29)
Limitations
- The benchmarking data is limited to specific geographic regions and does not cover all global data center locations (verified: 2026-01-29)
- Users must file an issue on GitHub to request the addition of new models not currently tracked by the system (verified: 2026-01-29)
FAQ
What specific performance metrics does TheFastest.ai track for the large language models listed on the site?
The platform tracks four primary metrics: Time To First Token (TTFT), Tokens Per Second (TPS), Total Time from request to final token, and regional availability. TTFT measures how quickly a model processes a request to begin outputting text, while TPS measures the speed of text production once the response has started (verified: 2026-01-29).
How frequently is the benchmarking data updated to ensure the performance statistics remain accurate for users?
The statistics provided on the website are updated on a daily basis to reflect current performance levels of the monitored LLMs. This ensures that developers have access to recent data regarding model speed and latency across different providers and regions (verified: 2026-01-29).
Can users request the inclusion of additional models or features if they are not currently present in the benchmarks?
Yes, the platform allows users to suggest new models for benchmarking by filing an issue on their official GitHub repository. This community-driven approach helps expand the database to include emerging models and specific user requirements (verified: 2026-01-29).
