Model Intelligence

Benchmarks

Each benchmark page explains the evaluation dimension, shows metric direction and units, and ranks models by their primary score. Data is derived from the Ethen normalized model index.

↑ Higher is better

Intelligence Benchmark

The Intelligence Benchmark measures overall model capability using a composite of evaluations across reasoning, coding, agentic tasks, instruction following, and multimodal understanding. Scores are derived from normalized evaluations on the Ethen Intelligence Index. Higher scores indicate stronger general-purpose capability.

535 models rankedView →
↑ Higher is better

Speed Benchmark

The Speed Benchmark measures output token generation throughput in tokens per second. Speed is measured under standard conditions and reflects the model's raw generation efficiency. Higher throughput generally means faster responses for chat and generation-heavy workloads.

287 models rankedView →
↓ Lower is better

Latency Benchmark

The Latency Benchmark measures time to first answer token (TTFT), representing how quickly a model begins generating after receiving a prompt. Lower latency is critical for interactive and real-time applications. Measured values include reasoning prep time where applicable.

287 models rankedView →
↓ Lower is better

Pricing Benchmark

The Pricing Benchmark compares model input and output token prices. Input price is the cost per million tokens sent to the model; output price is the cost per million tokens generated. Lower prices mean more cost-effective operation at scale.

548 models rankedView →
↓ Lower is better

Cost Efficiency Benchmark

The Cost Efficiency Benchmark evaluates models on combined input and output pricing. This is not a single numerical score but a comparative view across both pricing dimensions, helping identify models that offer the best value for different workload profiles.

548 models rankedView →
↑ Higher is better

Context Window Benchmark

The Context Window Benchmark compares the maximum context length each model supports. A larger context window allows the model to process longer documents, maintain extended conversation history, and handle complex multi-turn tasks without truncation.

419 models rankedView →

Also see: Leaderboards

Leaderboards present the same ranked data as a focused metric view rather than a benchmark explanation.

All Leaderboards →