| --- |
| license: cc-by-4.0 |
| task_categories: |
| - tabular-classification |
| - text-classification |
| language: |
| - en |
| tags: |
| - ai |
| - benchmarks |
| - llm |
| - pricing |
| - machine-learning |
| - gpt |
| - claude |
| - gemini |
| - deepseek |
| - mcp |
| pretty_name: AI Model Benchmarks & Pricing 2026 |
| size_categories: |
| - n<1K |
| --- |
| |
| # AI Model Benchmarks & Pricing Dataset 2026 |
|
|
| A comprehensive survey of large language model performance and economics, maintained by [BenchGecko](https://benchgecko.ai). |
|
|
| ## What's Inside |
|
|
| | File | Records | Description | |
| |------|---------|-------------| |
| | `data/models.csv` | 20 | Top AI models with benchmark scores and API pricing | |
| | `data/providers.csv` | 20 | AI model providers with metadata | |
| | `data/benchmarks.csv` | 40 | Benchmark suites with methodology | |
| | `data/mcp_servers.csv` | 20 | Model Context Protocol servers | |
|
|
| This is a sample from the full dataset. The complete dataset covers thousands of models, hundreds of providers, and over a hundred benchmarks, updated every two hours at [benchgecko.ai](https://benchgecko.ai). |
|
|
| ## Fields (models.csv) |
|
|
| | Column | Type | Description | |
| |--------|------|-------------| |
| | `name` | String | Model display name | |
| | `provider` | String | Organization that created the model | |
| | `input_price` | Float | USD per 1M input tokens | |
| | `output_price` | Float | USD per 1M output tokens | |
| | `context_window` | Integer | Maximum context length in tokens | |
| | `average_score` | Float | Weighted average across all benchmarks (0-100) | |
| | `mmlu_score` | Float | MMLU benchmark score | |
| | `humaneval_score` | Float | HumanEval coding score | |
| | `gpqa_score` | Float | GPQA Diamond science score | |
| | `math_score` | Float | MATH competition score | |
| | `open_source` | Boolean | Whether weights are publicly available | |
| | `release_date` | Date | Public release date | |
|
|
| ## Quick Start |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("BenchGeckoAI/ai-model-benchmarks-2026") |
| models = dataset["train"] |
| |
| # Find the best open-source model |
| open_models = [m for m in models if m["open_source"]] |
| best = max(open_models, key=lambda m: m["average_score"]) |
| print(f"Best open model: {best['name']} ({best['average_score']})") |
| ``` |
|
|
| ## Use Cases |
|
|
| - **Model Selection**: Compare benchmark scores across evaluation types before deploying |
| - **Cost Analysis**: Find the best price-to-performance ratio across providers |
| - **Market Research**: Track the AI model landscape and provider ecosystem |
| - **Academic Research**: Study capability trajectories and scaling laws |
|
|
| ## Full Dataset |
|
|
| This sample covers 20 models. The full live dataset is available through: |
|
|
| - **Web**: [BenchGecko Model Rankings](https://benchgecko.ai/models) |
| - **API**: [BenchGecko API Documentation](https://benchgecko.ai/api-docs) |
| - **Pricing**: [Cross-Provider Pricing Comparison](https://benchgecko.ai/pricing) |
| - **Compare**: [Side-by-Side Model Comparison](https://benchgecko.ai/compare) |
| - **Economy**: [AI Economy Dashboard](https://benchgecko.ai/economy) |
| - **Compute**: [AI Compute Supply Chain](https://benchgecko.ai/compute) |
| - **Mindshare**: [Developer Mindshare Arena](https://benchgecko.ai/mindshare) |
|
|
| ## Methodology |
|
|
| Benchmark scores sourced from original model technical reports and cross-verified using open-source evaluation frameworks (EleutherAI lm-evaluation-harness, BigCode HumanEval+). Pricing collected from official API documentation, updated within 48 hours of changes. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @dataset{benchgecko2026, |
| author = {BenchGecko}, |
| title = {AI Model Benchmarks and Pricing Dataset 2026}, |
| year = {2026}, |
| publisher = {Hugging Face}, |
| url = {https://huggingface.co/datasets/BenchGeckoAI/ai-model-benchmarks-2026} |
| } |
| ``` |
|
|
| ## License |
|
|
| CC BY 4.0. Attribution: BenchGecko (https://benchgecko.ai) |
|
|
