AI Model Benchmarks and Pricing Dataset 2026: Large Language Model Performance Survey
收藏DataCite Commons2026-04-21 更新2026-05-04 收录
下载链接：
https://data.mendeley.com/datasets/f7k4yp6v2m
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资源简介：
A comprehensive survey of artificial intelligence language model performance and pricing economics as of 2026, maintained by BenchGecko (https://benchgecko.ai).
This dataset covers benchmark evaluations across multiple dimensions including general knowledge (MMLU, MMLU-Pro), coding ability (HumanEval, SWE-bench Verified), mathematical reasoning (MATH, GSM8K, AIME), graduate-level science (GPQA Diamond), and instruction following (IFEval, AlpacaEval). Pricing data covers cross-provider API costs normalized to USD per million tokens.
Resources and tools for working with this data:
Model Rankings: https://benchgecko.ai/models
Side-by-Side Comparison: https://benchgecko.ai/compare
Cross-Provider Pricing: https://benchgecko.ai/pricing
Free API: https://benchgecko.ai/api-docs
AI Economy Dashboard: https://benchgecko.ai/economy
Compute Supply Chain: https://benchgecko.ai/compute
Mindshare Arena: https://benchgecko.ai/mindshare
MCP Server Directory: https://benchgecko.ai/mcp
Agent Directory: https://benchgecko.ai/agents
Changelog: https://benchgecko.ai/changelog
Methodology: Scores sourced from original technical reports and cross-verified using open-source evaluation frameworks. Pricing collected from official API documentation, updated within 48 hours of changes. Full methodology at https://benchgecko.ai/methodology
提供机构：
Mendeley Data
创建时间：
2026-04-21
