GSM-8K (CoT)

Grade School Math 8K with Chain-of-Thought prompting, featuring 8.5K high-quality linguistically diverse grade school math word problems requiring multi-step reasoning and elementary arithmetic operations.

Llama 3.1 70B Instruct from Meta currently leads the GSM-8K (CoT) leaderboard with a score of 0.951 across 2 evaluated AI models.

Paper
About this benchmark

What GSM-8K (CoT) measures

GSM-8K (CoT) is a text benchmark that evaluates large language models on math and reasoning tasks. LLM Stats tracks 2 models on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.9, with the leader reaching 1.0.

Compare leaders on the best AI for math and best AI for reasoning leaderboards.

Publication

Paper
Training Verifiers to Solve Math Word Problems
Authors
Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Mark Chen, and 8 others
Published

Abstract

State-of-the-art language models can match human performance on many tasks, but they still struggle to robustly perform multi-step mathematical reasoning. To diagnose the failures of current models and support research, we introduce GSM8K, a dataset of 8.5K high quality linguistically diverse grade school math word problems. We find that even the largest transformer models fail to achieve high test performance, despite the conceptual simplicity of this problem distribution. To increase performance, we propose training verifiers to judge the correctness of model completions. At test time, we generate many candidate solutions and select the one ranked highest by the verifier. We demonstrate that verification significantly improves performance on GSM8K, and we provide strong empirical evidence that verification scales more effectively with increased data than a finetuning baseline.

MetaLlama 3.1 70B Instruct leads with 95.1%, followed by MetaLlama 3.1 8B Instruct at 84.5%.

Progress Over Time

Interactive timeline showing model performance evolution on GSM-8K (CoT)

State-of-the-art frontier
Open
Proprietary

GSM-8K (CoT) Leaderboard

2 models
ContextCostLicense
170B
28B
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FAQ

Common questions about GSM-8K (CoT).

What is the GSM-8K (CoT) benchmark?

Grade School Math 8K with Chain-of-Thought prompting, featuring 8.5K high-quality linguistically diverse grade school math word problems requiring multi-step reasoning and elementary arithmetic operations.

What is the GSM-8K (CoT) leaderboard?

The GSM-8K (CoT) leaderboard ranks 2 AI models based on their performance on this benchmark. Currently, Llama 3.1 70B Instruct by Meta leads with a score of 0.951. The average score across all models is 0.898.

What is the highest GSM-8K (CoT) score?

The highest GSM-8K (CoT) score is 0.951, achieved by Llama 3.1 70B Instruct from Meta.

How many models are evaluated on GSM-8K (CoT)?

2 models have been evaluated on the GSM-8K (CoT) benchmark, with 0 verified results and 2 self-reported results.

Where can I find the GSM-8K (CoT) paper?

The GSM-8K (CoT) paper is available at https://arxiv.org/abs/2110.14168. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does GSM-8K (CoT) cover?

GSM-8K (CoT) is categorized under math and reasoning. The benchmark evaluates text models.

What is the best open-source model on GSM-8K (CoT)?

Llama 3.1 70B Instruct by Meta is the top-ranked open-source model on GSM-8K (CoT), with a score of 0.951 (rank #1).

How recent are the GSM-8K (CoT) leaderboard results?

The GSM-8K (CoT) leaderboard was last updated in June 2026 and currently includes 2 evaluated models.

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