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LLM Cost Benchmark
Token pricing and latency benchmarks across major LLM providers. Updated dataset for cost estimation, budget planning, and provider comparison.
Fields
provider: API provider (OpenAI, Anthropic, Google, Meta, Mistral)model: Model nameinput_cost_per_1m: Input cost per 1M tokens (USD)output_cost_per_1m: Output cost per 1M tokens (USD)context_window: Maximum context window sizemax_output: Maximum output tokensmedian_latency_ms: Median latency for 100-token response (ms)p99_latency_ms: P99 latency (ms)date_benchmarked: When the benchmark was run
Usage
from datasets import load_dataset
ds = load_dataset("zachz/llm-cost-benchmark")
License
MIT
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