Llm Leaderboard 2025 Complete Ai Model Rankings

Bonisiwe Shabane
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llm leaderboard 2025 complete ai model rankings

Helping leaders make confident, well-informed decisions with clear benchmarks across different LLMs. Trusted, independent rankings of large language models across performance, red teaming, jailbreaking safety, and real-world usability. This LLM leaderboard displays the latest public benchmark performance for SOTA model versions released after April 2024. The data comes from model providers as well as independently run evaluations by Vellum or the open-source community. We feature results from non-saturated benchmarks, excluding outdated benchmarks (e.g. MMLU).

If you want to use these models in your agents, try Vellum. Comparison and ranking the performance of over 30 AI models (LLMs) across key metrics including quality, price, performance and speed (output speed - tokens per second & latency - TTFT), context window & others. For more details including relating to our methodology, see our FAQs. Analyze and compare AI models across benchmarks, pricing, and capabilities. Discover the best models and API providers in each category. Access leaderboards about code, reasoning, and general knowledge.

Learn about the maximum input context length for each model. While tokenization varies between models, on average, 1 token is approximately equal to 3.5 characters in English. Please note that each model uses its own tokenizer, so actual token counts may vary significantly. As a rough guide, 1 million tokens is approximately equivalent to: - 30 hours of a podcast (~150 words per minute) - 1,000 pages of a book (~500 words per page) - 60,000 lines1... See Wikipedia. Compare LLM models across benchmark scores, prices, and model sizes.

Evaluate the price and performance across providers for Llama 3.3 70B. It is important to note that provider performance can vary significantly. Some providers run full-precision models on specialized hardware accelerators (like Groq's LPU or Cerebras' CS-3), while others may use quantization (4-bit, 8-bit) to simulate faster speeds on commodity hardware. Check provider documentation for specific hardware and quantization details, as this can impact both speed and model quality. Observe how different processing speeds affect real-time token generation. A comprehensive list of the best LLMs in the world, ranked by their performance, price, and features, updated daily.

Comprehensive testing across 57 subjects including mathematics, history, law, and medicine to evaluate LLM knowledge breadth. Graduate-level expert knowledge evaluation designed to test advanced reasoning in specialized domains. Software engineering tests including code generation, debugging, and algorithm design to measure programming capabilities. Extended version of HumanEval with more complex programming challenges across multiple languages to test code quality.

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Helping Leaders Make Confident, Well-informed Decisions With Clear Benchmarks Across

Helping leaders make confident, well-informed decisions with clear benchmarks across different LLMs. Trusted, independent rankings of large language models across performance, red teaming, jailbreaking safety, and real-world usability. This LLM leaderboard displays the latest public benchmark performance for SOTA model versions released after April 2024. The data comes from model providers as well...

If You Want To Use These Models In Your Agents,

If you want to use these models in your agents, try Vellum. Comparison and ranking the performance of over 30 AI models (LLMs) across key metrics including quality, price, performance and speed (output speed - tokens per second & latency - TTFT), context window & others. For more details including relating to our methodology, see our FAQs. Analyze and compare AI models across benchmarks, pricing, ...

Learn About The Maximum Input Context Length For Each Model.

Learn about the maximum input context length for each model. While tokenization varies between models, on average, 1 token is approximately equal to 3.5 characters in English. Please note that each model uses its own tokenizer, so actual token counts may vary significantly. As a rough guide, 1 million tokens is approximately equivalent to: - 30 hours of a podcast (~150 words per minute) - 1,000 pa...

Evaluate The Price And Performance Across Providers For Llama 3.3

Evaluate the price and performance across providers for Llama 3.3 70B. It is important to note that provider performance can vary significantly. Some providers run full-precision models on specialized hardware accelerators (like Groq's LPU or Cerebras' CS-3), while others may use quantization (4-bit, 8-bit) to simulate faster speeds on commodity hardware. Check provider documentation for specific ...

Comprehensive Testing Across 57 Subjects Including Mathematics, History, Law, And

Comprehensive testing across 57 subjects including mathematics, history, law, and medicine to evaluate LLM knowledge breadth. Graduate-level expert knowledge evaluation designed to test advanced reasoning in specialized domains. Software engineering tests including code generation, debugging, and algorithm design to measure programming capabilities. Extended version of HumanEval with more complex ...