What is LLMBoard.ai
LLMBoard.ai is an AI model intelligence platform that provides a comprehensive leaderboard for comparing large language models (LLMs) and other AI models. It ranks models across various capabilities, including overall performance, coding, reasoning, math, knowledge, instruction following, text, and vision. The platform also covers image, video, and audio models, offering insights into pricing, runtime performance, and provider reliability.
How to use LLMBoard.ai
- Navigate to the LLMBoard.ai homepage.
- Use the sidebar to explore different leaderboards, such as Overall, Open Models, Agent, Coding, Reasoning, Math, Knowledge, Instruction Following, Text, and Vision.
- For efficiency metrics, access the Pricing and Runtime sections to compare models based on cost and speed.
- Browse specific benchmarks like GPQA, MMLU-Pro, AIME 2025, SWE-Bench Verified, and others to see model performance on standardized tests.
- Use the Model Directory to search for specific models and view their details.
- Refer to the Scoring & Data section to understand the methodology behind the rankings.
Features of LLMBoard.ai
- Comprehensive Leaderboards: Rankings for chat LLMs, open models, agents, coding, reasoning, math, knowledge, instruction following, text, and vision.
- Multi-Modal Coverage: Includes image generation, image editing, video generation, image-to-video, video editing, text-to-speech, speech-to-text, and embeddings.
- Efficiency Metrics: Compare models based on pricing (chat token, image, video, audio) and runtime performance (speed, latency, provider reliability).
- Benchmark Data: Access scores for top benchmarks like GPQA, MMLU-Pro, AIME 2025, SWE-Bench Verified, MMLU, Humanity's Last Exam, LiveCodeBench, MATH, HumanEval, and MMMU-Pro.
- Model Directory: Searchable database of 1224 models.
- Scoring & Data Transparency: Detailed methodology for how rankings are calculated.
Use Cases of LLMBoard.ai
- Selecting the Best Model for a Task: Developers can compare models on coding, reasoning, or math benchmarks to choose the most suitable one for their application.
- Cost Optimization: Businesses can evaluate pricing leaderboards to find cost-effective models for their budget.
- Performance Benchmarking: Researchers and engineers can track the latest model performance on standardized benchmarks.
- Staying Updated: AI enthusiasts can monitor the evolving landscape of AI models across different modalities.
Pricing
LLMBoard.ai itself appears to be a free resource for comparing AI models. The platform provides pricing information for various AI models, but there is no indication of any subscription or usage fees for accessing the leaderboards and data.
FAQ
What types of models are covered?
LLMBoard.ai covers chat LLMs, open models, image generation/editing, video generation/editing, text-to-speech, speech-to-text, and embeddings.
How are models ranked?
Models are ranked based on performance across various benchmarks and metrics, with a detailed scoring methodology available in the Scoring & Data section.
Can I compare models based on price?
Yes, the Pricing section allows you to compare models based on token costs for chat, image, video, and audio generation.
Is there a model directory?
Yes, the Model Directory provides a searchable list of 1224 models.
How often is the data updated?
The platform tracks 729 benchmarks, and the data is regularly updated to reflect the latest model releases and performance.
