AI API Providers

AI API Provider Testing Methodology

How we evaluate AI model aggregators and API providers for developers.

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The 100-Point Scoring Framework

We benchmark API providers on model selection, latency, cost-efficiency, and developer experience. Real API calls are measured across 10+ models with standardized prompts.

Model Catalog
30 pts
Pricing
25 pts
Performance
25 pts
Developer UX
20 pts

Our Testing Process

01

Latency Tests

100 API calls per model measuring TTFT and throughput.

02

Price Comparison

Same tokens billed across providers for cost comparison.

03

SDK Testing

Integration tests with Python and Node.js SDKs.

04

Scoring

Performance data aggregated into transparent scores.

1. Model Catalog & Features

30 points max

Breadth and depth of available models and API capabilities.

6
Number of LLMs
Total LLMs available; 100+ scores highest.
5
Top Model Access
GPT-4o, Claude 3.5, Llama 3.3, Gemini Pro available?
4
Image & Video Models
Support for DALL·E, Flux, Stable Diffusion, video models.
4
Function Calling
Tool use, structured output, and JSON mode support.
3
Fine-tuning
Custom model training (LoRA, full fine-tune).
4
Embeddings & Vision
Vector embedding and multimodal vision models.
4
Streaming & Batch
Server-sent events streaming and batch processing.

2. Pricing & Cost Efficiency

25 points max

Cost per token compared to direct provider pricing.

6
Free Credits
Free signup credits; $5+ scores highest.
6
Price vs. Direct
Markup compared to direct OpenAI/Anthropic pricing.
5
Volume Discounts
Committed spend discounts and prepaid credits.
4
Transparent Billing
Real-time usage dashboard and clear invoicing.
4
Pay-as-you-go
No minimums; pure consumption-based pricing.

3. Performance & Reliability

25 points max

Latency, throughput, and uptime measured with real API calls.

7
Latency (TTFT)
Time to first token. <500ms scores highest.
6
Throughput
Tokens per second. >200 t/s scores highest.
6
Uptime / SLA
99.9%+ uptime SLA with documented guarantees.
3
Rate Limits
Requests per minute on free and paid tiers.
3
Fallback Routing
Auto-routing to backup models on failure.

4. Developer Experience

20 points max

SDKs, documentation, and integration ecosystem quality.

5
OpenAI Compatibility
Drop-in replacement for OpenAI SDK?
4
SDK Quality
Python, Node.js, Go SDK quality and maintenance.
4
Documentation
API docs, quickstarts, and code examples.
4
Playground / Test UI
Browser-based model testing interface.
3
LangChain / LlamaIndex
Framework integrations for RAG and agents.

Score Grading Scale

Score RangeGradeInterpretation
85 – 100ExcellentBest-in-class. Industry leader in this category.
70 – 84GoodStrong performer for most use cases, minor gaps.
55 – 69SatisfactoryAcceptable but falls behind leaders. Consider alternatives.
0 – 54Needs ImprovementSignificant limitations. Compare alternatives carefully.

Independence & Transparency

Real benchmarks: All latency data from actual API measurements.

No sponsored rankings: Pricing analysis is independent.

Monthly re-testing: New models and pricing changes tracked monthly.

Last methodology update: March 2026