API Performance Improvements
Date: 2025-10-12 / (1404-07-20)
Summary
Following three months of comprehensive infrastructure optimization, AvalAI now delivers lower latency than direct OpenAI access for the gpt-4o-mini model. Our latest benchmarks show 39-44% faster response times and 77% higher token throughput across regions, achieved through persistent provider connections, connection pooling optimizations, and targeted infrastructure improvements.
Details
Performance Achievements
Our October 2025 benchmark results demonstrate significant performance gains compared to our June baseline:
Europe (EU) Datacenter:
- 39% faster than direct OpenAI access (0.435s vs 0.717s median TTFB)
- 77% higher throughput (24.5 vs 13.8 tokens/second)
- Improved from 200ms overhead in June to being faster than direct access
Middle East (ME) Datacenter:
- 44% faster than direct OpenAI access (0.668s vs 1.048s median TTFB)
- 77% higher throughput (14.9 vs 8.4 tokens/second)
- Substantial performance advantage for regional deployments
How We Achieved This
The performance improvements stem from both architectural advantages and targeted optimizations:
Architectural Advantages
- Persistent Provider Connections: As a high-traffic platform, we maintain always-open connections to OpenAI and other providers, eliminating TLS handshake overhead that individual users face with each request
- Connection Pooling at Scale: Our centralized infrastructure manages optimized connection pools, removing the need for users to implement and maintain their own pooling logic
Recent Optimizations
Over the past three months, we implemented:
- Core API service optimization with streamlined request processing
- Infrastructure overhead reduction at every layer
- Network layer enhancements and routing optimizations
- Special optimizations for repeated API calls, benefiting production workloads
Technical Context
All tests were conducted using our primary domain (api.avalai.ir), which runs on Cloudflare's CDN for optimal performance. The benchmarks used gpt-4o-mini, but the performance improvements apply to all models on our platform.
Users making repeated API calls—a common pattern in production environments—particularly benefit from these optimizations, as our system maintains warm connections and optimized pathways to all providers.
Independent Verification
We provide full transparency through:
- Complete benchmark results with statistical analysis
- Python script for independent testing
- Historical data showing improvement trajectory from June to October 2025
- Detailed methodology and test environment specifications
View Full Benchmarks
For comprehensive performance data, methodology, and the ability to reproduce these results yourself, visit our updated Performance Page.