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Predicting LLM Parameters Using Benchmarks

aimlbling-about.ninerealmlabs.com · published 19 January 2026

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https://youtu.be/v5mBjeX4TJ8?si=ViYbKgD6x7fkjEa4
youtu.be
https://arxiv.org/html/2511.13029v1
arxiv.org
https://github.com/simonw/llm-prices
github.com
https://artificialanalysis.ai/?omniscience=omniscience-accuracy&model-filters=frontier-model&models=claude-opus-4-5-thinking%2Cgemini-3-pro%2Cgpt-5-1%2Cgemini-3-flash-reasoning%2Cgpt-5-2-medium%2Cclaude-4-5-sonnet-thinking%2Cglm-4-7%2Cgpt-5-medium%2Cgrok-4%2Cdeepseek-v3-2-reasoning%2Co3%2Cgemini-3-pro-low%2Ckimi-k2-thinking%2Cminimax-m2-1%2Cgpt-5-mini-medium%2Cclaude-4-5-haiku-reasoning%2Cminimax-m2%2Cnova-2-0-pro-reasoning-medium%2Cclaude-3-7-sonnet-thinking%2Cgemini-2-5-pro%2Cgpt-oss-120b%2Cglm-4-6-reasoning%2Cnova-2-0-lite-reasoning-medium%2Cqwen3-235b-a22b-instruct-2507-reasoning%2Cnova-2-0-omni-reasoning-medium%2Cgemini-2-5-flash-reasoning%2Cdeepseek-r1%2Cglm-4.5%2Cgpt-5-nano-medium%2Cgpt-4-1%2Cgrok-3%2Cgpt-oss-20b%2Cnvidia-nemotron-3-nano-30b-a3b-reasoning%2Cgpt-oss-120b-low%2Cqwen3-30b-a3b-2507-reasoning%2Cdeepseek-v3-0324%2Cgpt-oss-20b-low%2Cllama-4-maverick%2Cqwen3-14b-instruct-reasoning%2Cministral-14b%2Cqwen3-30b-a3b-instruct-reasoning%2Cgpt-4o%2Cllama-4-scout%2Ccommand-a%2Cgemma-3-27b%2Cgemma-3-12b%2Cgemma-3-1b%2Cgemma-3-4b%2Colmo-3-1-32b-think
artificialanalysis.ai
https://artificialanalysis.ai/evaluations/omniscience
artificialanalysis.ai
https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro
huggingface.co
https://artificialanalysis.ai/methodology/intelligence-benchmarking
artificialanalysis.ai
https://taubench.com/
taubench.com
Measuring the performance of our models on real-world tasks Read at the source ↗
openai.com
https://arxiv.org/abs/2511.13029
arxiv.org
https://arxiv.org/abs/2406.01574
arxiv.org
https://arxiv.org/abs/2506.07982
arxiv.org
https://arxiv.org/abs/2510.04374
arxiv.org
https://export.arxiv.org/pdf/2501.12370
export.arxiv.org
https://export.arxiv.org/pdf/2411.02335
export.arxiv.org
https://arxiv.org/abs/2505.24832
arxiv.org
https://arxiv.org/abs/2506.21551
arxiv.org