math benchmark
GSM-8K (CoT) is a math benchmark featuring 8.5K high-quality, linguistically diverse grade school math word problems requiring multi-step reasoning and elementary arithmetic operations.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelME | Score95.10% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelME | Score84.50% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What GSM-8K (CoT) measures and how its scores work.
GSM-8K (CoT) is a grade school math benchmark with Chain-of-Thought prompting and 8.5K word problems.
It measures performance on multi-step grade school math word problems involving elementary arithmetic operations, using Score reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about GSM-8K (CoT).
Llama 3.1 70B Instruct is currently ranked first with 95.10%.
The current leaders are Llama 3.1 70B Instruct (95.10%) and Llama 3.1 8B Instruct (84.50%).
No matched official input price is currently available.
The fastest matched records are Llama 3.1 8B Instruct (2,047.00 tok/s via Cerebras) and Llama 3.1 70B Instruct (1,204.00 tok/s via Cerebras).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures performance on multi-step grade school math word problems involving elementary arithmetic operations, using Score reported as a ratio.
Yes. Higher values rank better for this benchmark.
2 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis gsm-8k (cot) AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Llama 3.1 70B Instruct currently leads GSM-8K (CoT) with 95.10%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.