Best LLM Endpoint for MATH
Ranked by canonical-prompt MATH score on Benchscope. MATH is the most differentiated benchmark — scores spread wide across model families and providers, making it a strong signal for comparing reasoning capability.
What This Comparison Measures
MATH is a benchmark of competition-level problems drawn from AMC 10, AMC 12, AIME, and similar contests. Scoring uses equivalence checking on the extracted final answer. This comparison uses canonical-prompt runs only — results are directly comparable across providers and model families.
How to Interpret the Results
Higher MATH scores indicate stronger multi-step mathematical reasoning under these specific evaluation conditions. When comparing the same model family across providers, MATH score differences reflect infrastructure, quantization, or serving configuration rather than underlying model capability. Prefer full-benchmark runs for stable score estimates.
Important Caveats
A high MATH score does not mean this endpoint will perform best for your use case. Benchmark scores are directional, not universal. MATH requires careful answer normalization — scores may differ from results in other benchmarking systems even for identical model versions.
Related
- MATH benchmark results — full table with all providers and filters
- MMLU benchmark results — 57-subject knowledge breadth
- GSM8K benchmark results — grade school math reasoning
- Best LLM endpoint for MMLU
- Best LLM endpoint for GSM8K
- 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 MATH scoring and comparability work
Benchscope is a JavaScript app. If the interactive interface does not load, enable JavaScript or use the links above for the main public sections.