Best LLM Endpoint for GSM8K
Ranked by canonical-prompt GSM8K score on Benchscope. GSM8K tests multi-step arithmetic reasoning over 8,500 grade school word problems. Use it to confirm that a provider's serving configuration has not degraded basic mathematical reasoning, or to compare mid-tier endpoints where MATH spreads too thin.
What This Comparison Measures
GSM8K (Grade School Math 8K) contains 8,500 grade school word problems requiring two to eight steps of arithmetic reasoning. Models conclude with a final numerical answer following a '####' delimiter. Benchscope uses exact match on the extracted number. This comparison uses canonical-prompt runs only — the '####' scoring convention requires standard output format.
How to Interpret GSM8K Results
Frontier models cluster above 85% on GSM8K, so it is most useful for comparing mid-tier models or detecting reasoning degradation from provider quantization. When the same model family is hosted by different providers, GSM8K score differences reflect infrastructure choices — not the underlying model. For harder math comparisons, see the MATH comparison page.
Important Caveats
GSM8K was published in 2021 — high scores partly reflect training data exposure rather than generalizable reasoning. A high GSM8K score does not guarantee good performance on applied math, code involving arithmetic, or word problems requiring deeper reasoning. For differentiating top-tier endpoints, MATH provides wider score gaps.
Related
- GSM8K benchmark results — full table with all providers and filters
- Best LLM endpoint for MATH — competition-level reasoning
- Best LLM endpoint for MMLU — broad knowledge breadth
- Llama 3.3 70B on Groq vs Together AI
- Groq benchmark results
- Together AI benchmark results
- Cerebras benchmark results
- All model families on Benchscope
- How GSM8K scoring and comparability work
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