If you mean benchmark performance on competition style math, Gemini 3.1 Pro Preview looks like the current top pick on AIME, with Vals AI listing it at 98.13% accuracy.[1] But there is no single uncontested “best AI f...
If you mean benchmark performance on competition style math, Gemini 3.1 Pro Preview looks like the current top pick on AIME, with Vals AI listing it at 98.13% accuracy.[1] But there is no single uncontested “best AI for math,” because rankings vary by benchmark, and AIME is an imperfect measure since its questions are
Key takeaways
If you mean benchmark performance on competition-style math, Gemini 3.1 Pro Preview looks like the current top pick on AIME, with Vals AI listing it at 98.13% accuracy.[1] But there is no single uncontested “best AI for math,” because rankings vary by benchmark, and AIME is an im
Vals AI currently lists Gemini 3.1 Pro Preview as the top AIME model at 98.13%.[1]
Research answer
If you mean benchmark performance on competition-style math, Gemini 3.1 Pro Preview looks like the current top pick on AIME, with Vals AI listing it at 98.13% accuracy.[1] But there is no single uncontested “best AI for math,” because rankings vary by benchmark, and AIME is an imperfect measure since its questions are public and may be in training data.[1]
Vals AI currently lists Gemini 3.1 Pro Preview as the top AIME model at 98.13%.[1]
BenchLM says frontier models now score about 95–99% on AIME and above 90% on HMMT 2025, so several top models are now very strong at competition math, not just one.[2]
AIME results should be treated cautiously because publicly available questions can inflate scores, and Vals AI specifically notes possible data contamination and weaker generalization to newer 2025 questions.[1]
So the practical answer is: for pure math-benchmark strength, Gemini 3.1 Pro Preview appears to lead right now.[1] For real-world use, several frontier models are close enough that reliability, explanation quality, speed, and tool use may matter more than a tiny benchmark gap.[2]
If you want, I can also give you:
the best AI for school/homework math,
the best AI for olympiad/contest math,
or a short ranked list of the top 3 math AIs right now.
Supporting visuals
Andrej Karpathy Stopped Using AI to Write CodeAndrej Karpathy Stopped Using AI to Write Code. He’s Using It to Build a Second Brain InsteadAgentic Coding: GSD vs Spec Kit vs OpenSpec vs Taskmaster AI: Where SDD Tools Divergegemini 14 reference images object fidelity character consistency guide en image 0 图示Claude Certified Architect: The Complete Guide to Passing the CCA Foundations ExamI used Karpathy’s LLM Wiki to build a knowledge base that maintains itself with AIMastering Agentic Skills: The Complete Guide to Building Effective Agent Skillsgemini 3 1 pro preview vs claude opus 4 6 comparison guide en image 0 图示Claude Code 2026: The Daily Operating System Top Developers Actually UseI Tried Gemma 4 On Claude Code (And Found New FREE Google Coding Beast)The Great Framework Showdown: Superpowers vsThe Great Framework Showdown: Superpowers vs. BMAD vs. SpecKit vs. GSDnano banana 2 429 error rate limit solution guide en image 0 图示10 Must-Have Skills for Claude (and Any Coding Agent) in 2026gemini nano banana pro overloaded error guide en image 0 图示Google’s Gemma 4 Changes Everything for Open Source AIclaude api 1m context window guide en image 0 图示Artificial Intelligence in Plain Englishhmmt25 ai benchmark explainedog
Research conversation
You
Research question
Search for: What is the best AI for math?
Studio Global AI12 sources
Cited answer
If you mean benchmark performance on competition-style math, Gemini 3.1 Pro Preview looks like the current top pick on AIME, with Vals AI listing it at 98.13% accuracy.[1] But there is no single uncontested “best AI for math,” because rankings vary by benchmark, and AIME is an imperfect measure since its questions are public and may be in training data.[1]
Vals AI currently lists Gemini 3.1 Pro Preview as the top AIME model at 98.13%.[1]
BenchLM says frontier models now score about 95–99% on AIME and above 90% on HMMT 2025, so several top models are now very strong at competition math, not just one.[2]
AIME results should be treated cautiously because publicly available questions can inflate scores, and Vals AI specifically notes possible data contamination and weaker generalization to newer 2025 questions.[1]
So the practical answer is: for pure math-benchmark strength, Gemini 3.1 Pro Preview appears to lead right now.[1] For real-world use, several frontier models are close enough that reliability, explanation quality, speed, and tool use may matter more than a tiny benchmark gap.[2]
If you want, I can also give you:
the best AI for school/homework math,
the best AI for olympiad/contest math,
or a short ranked list of the top 3 math AIs right now.
People also ask
What is the short answer to "Search for: What is the best AI for math?"?
If you mean benchmark performance on competition-style math, Gemini 3.1 Pro Preview looks like the current top pick on AIME, with Vals AI listing it at 98.13% accuracy.[1] But there is no single uncontested “best AI for math,” because rankings vary by benchmark, and AIME is an im
What are the key points to validate first?
If you mean benchmark performance on competition-style math, Gemini 3.1 Pro Preview looks like the current top pick on AIME, with Vals AI listing it at 98.13% accuracy.[1] But there is no single uncontested “best AI for math,” because rankings vary by benchmark, and AIME is an im Vals AI currently lists Gemini 3.1 Pro Preview as the top AIME model at 98.13%.[1]
Which related topic should I explore next?
Continue with "Show me top 5 trending research topic US users often ask about GPT 5.5 Spud now. Dont give me questions you mentions in previous messages." for another angle and extra citations.
Cross-check this answer against "Research and fact check: GPT 5.5 Spud, Inference economics: token efficiency, API pricing, and production latency/throughput tradeoffs.".
Gemini 3.1 Pro Preview (02/26) is the new top-performing model on AIME at 98.13% accuracy. * As the AIME questions and answers are publicly available, there is a risk that models may have been exposed to them during pretraining. Notably, models tend to perform better on older (2024) questions compared to the newer 2025 set, raising questions about data contamination and true generalization. The top models now achieve near-perfect accuracy on this benchmark, although performance can vary significantly between the 2024 and 2025 question sets. For this benchmark, we used the thirty questions f…
AIME & HMMT: Can AI Models Do Competition Math? AIME and HMMT are high school math olympiad competitions now used to benchmark AI. Frontier models score 95-99% — competition math is effectively solved. Frontier AI models now score 95-99% on AIME and HMMT — competition math is effectively solved. Frontier models now score 95-99% on these competitions. | Model | AIME 2025 | HMMT 2025 |. The top models are all above 95 on AIME 2025 and above 90 on HMMT 2025. In 2023, the best models scored around 50-60% on AIME. When we say competition math is "solved," we mean AI models can reliably answer th…
AIME 2025 Benchmark Leaderboard: Token Usage. # AIME 2025 Benchmark Leaderboard. ## AIME 2025 Benchmark Leaderboard: Results. ## AIME 2025 Benchmark Leaderboard: Cost Breakdown. ## AIME 2025 Benchmark Leaderboard: Score vs. A composite benchmark aggregating ten challenging evaluations to provide a holistic measure of AI capabilities across mathematics, science, coding, and reasoning. A frontier-level benchmark with 2,500 expert-vetted questions across mathematics, sciences, and humanities, designed to be the final closed-ended academic evaluation. A benchmark evaluating precise instruction…
Comparison of the 3 Most Powerful Math Problem-Solving AI Models: Gemini 3.1 Pro vs Claude Sonnet 4.6 vs GPT-5.4 (2026 Real-World Test Data). Author's Note: An in-depth comparison of the top 3 AI models for math problem-solving in 2026, including authoritative benchmark data from AIME and MATH, to help you find the most suitable mathematical reasoning model. import openai from typing import Optional def solve_math( problem: str, model: str = "gemini-3.1-pro-preview", system_prompt: Optional[str] = None ) -> str: """ Call an AI model to solve a math problem. problem = "In triangle ABC, given…
You can find more information about the public problems here. For each FrontierMath question, the model needs to submit a Python function i.j4i.i2
answer()
that returns the answer. > * Do not submit your answer using the python tool. It is also not the methodology used by OpenAI in their own FrontierMath evaluations, such as for the o3 and o3-mini models: we were not involved in running these evaluations. The difference between our results and…
As of early 2026, the leading models have essentially solved HMMT-level problems: xAI’s Grok-4 Heavy achieved 96.7% accuracy on HMMT25, with GPT-5 variants scoring around 92% and Google’s Gemini 3 Pro reaching 95% on comparable AIME benchmarks () (). Mathematical reasoning is a longtime challenge for LLMs. Early work like the MATH dataset (NeurIPS 2021) collected 12,500 math contest problems and showed GPT-3 models scored only ~5% accuracy, while a human (3-time IMO gold medalist) scored ~90% (). As a formal benchmark, HMMT25 collects these contest problems (in English) and measures an AI mod…
Research and analysis on the trajectory of AI development. AI data centers tracked via satellite imagery and permit data. Ownership of global AI chips across major companies. Data on key organizations and labs driving AI development worldwide. We also track AI model performance across 40+ benchmarks. #### By Epoch AI. ##### About Epoch AI. Meet the researchers, engineers, and scientists working to make sense of AI. Research and analysis on the trajectory of AI development. AI data centers tracked via satellite imagery and permit data. Ownership of global AI chips across major companies. Data…
| by Rick Hightower | Spillwave Solutions. ## More from Rick Hightower and Spillwave Solutions. Image 12: Agentic Coding: GSD vs Spec Kit vs OpenSpec vs Taskmaster AI: Where SDD Tools Diverge. ## Mastering Agentic Skills: The Complete Guide to Building Effective Agent Skills ### Transform your coding agents OpenCode, Claude Code, Codex and more from a general-purpose AI into a domain expert through well-crafted…. Image 20: I used Karpathy’s LLM Wiki to build a knowledge base that maintains itself with AI. Image 22: 10 Must-Have Skills for Claude (and Any Coding Agent) in 2026. ## 10 Must-Have…
Gemini 3 Pro leads with 37.5%, demonstrating high native intelligence. GPT-5.2 follows at 33%, with Claude 4.5 at 25.2%. But here is where
AnswersPublic URLApr 18, 202612 sources
Search for: What is the best AI for math?
If you mean benchmark performance on competition style math, Gemini 3.1 Pro Preview looks like the current top pick on AIME, with Vals AI listing it at 98.13% accuracy.[1] But there is no single uncontested “best AI f...
If you mean benchmark performance on competition style math, Gemini 3.1 Pro Preview looks like the current top pick on AIME, with Vals AI listing it at 98.13% accuracy.[1] But there is no single uncontested “best AI for math,” because rankings vary by benchmark, and AIME is an imperfect measure since its questions are
Key takeaways
If you mean benchmark performance on competition-style math, Gemini 3.1 Pro Preview looks like the current top pick on AIME, with Vals AI listing it at 98.13% accuracy.[1] But there is no single uncontested “best AI for math,” because rankings vary by benchmark, and AIME is an im
Vals AI currently lists Gemini 3.1 Pro Preview as the top AIME model at 98.13%.[1]
Research answer
If you mean benchmark performance on competition-style math, Gemini 3.1 Pro Preview looks like the current top pick on AIME, with Vals AI listing it at 98.13% accuracy.[1] But there is no single uncontested “best AI for math,” because rankings vary by benchmark, and AIME is an imperfect measure since its questions are public and may be in training data.[1]
Vals AI currently lists Gemini 3.1 Pro Preview as the top AIME model at 98.13%.[1]
BenchLM says frontier models now score about 95–99% on AIME and above 90% on HMMT 2025, so several top models are now very strong at competition math, not just one.[2]
AIME results should be treated cautiously because publicly available questions can inflate scores, and Vals AI specifically notes possible data contamination and weaker generalization to newer 2025 questions.[1]
So the practical answer is: for pure math-benchmark strength, Gemini 3.1 Pro Preview appears to lead right now.[1] For real-world use, several frontier models are close enough that reliability, explanation quality, speed, and tool use may matter more than a tiny benchmark gap.[2]
If you want, I can also give you:
the best AI for school/homework math,
the best AI for olympiad/contest math,
or a short ranked list of the top 3 math AIs right now.
Supporting visuals
Andrej Karpathy Stopped Using AI to Write CodeAndrej Karpathy Stopped Using AI to Write Code. He’s Using It to Build a Second Brain InsteadAgentic Coding: GSD vs Spec Kit vs OpenSpec vs Taskmaster AI: Where SDD Tools Divergegemini 14 reference images object fidelity character consistency guide en image 0 图示Claude Certified Architect: The Complete Guide to Passing the CCA Foundations ExamI used Karpathy’s LLM Wiki to build a knowledge base that maintains itself with AIMastering Agentic Skills: The Complete Guide to Building Effective Agent Skillsgemini 3 1 pro preview vs claude opus 4 6 comparison guide en image 0 图示Claude Code 2026: The Daily Operating System Top Developers Actually UseI Tried Gemma 4 On Claude Code (And Found New FREE Google Coding Beast)The Great Framework Showdown: Superpowers vsThe Great Framework Showdown: Superpowers vs. BMAD vs. SpecKit vs. GSDnano banana 2 429 error rate limit solution guide en image 0 图示10 Must-Have Skills for Claude (and Any Coding Agent) in 2026gemini nano banana pro overloaded error guide en image 0 图示Google’s Gemma 4 Changes Everything for Open Source AIclaude api 1m context window guide en image 0 图示Artificial Intelligence in Plain Englishhmmt25 ai benchmark explainedog
Research conversation
You
Research question
Search for: What is the best AI for math?
Studio Global AI12 sources
Cited answer
If you mean benchmark performance on competition-style math, Gemini 3.1 Pro Preview looks like the current top pick on AIME, with Vals AI listing it at 98.13% accuracy.[1] But there is no single uncontested “best AI for math,” because rankings vary by benchmark, and AIME is an imperfect measure since its questions are public and may be in training data.[1]
Vals AI currently lists Gemini 3.1 Pro Preview as the top AIME model at 98.13%.[1]
BenchLM says frontier models now score about 95–99% on AIME and above 90% on HMMT 2025, so several top models are now very strong at competition math, not just one.[2]
AIME results should be treated cautiously because publicly available questions can inflate scores, and Vals AI specifically notes possible data contamination and weaker generalization to newer 2025 questions.[1]
So the practical answer is: for pure math-benchmark strength, Gemini 3.1 Pro Preview appears to lead right now.[1] For real-world use, several frontier models are close enough that reliability, explanation quality, speed, and tool use may matter more than a tiny benchmark gap.[2]
If you want, I can also give you:
the best AI for school/homework math,
the best AI for olympiad/contest math,
or a short ranked list of the top 3 math AIs right now.
People also ask
What is the short answer to "Search for: What is the best AI for math?"?
If you mean benchmark performance on competition-style math, Gemini 3.1 Pro Preview looks like the current top pick on AIME, with Vals AI listing it at 98.13% accuracy.[1] But there is no single uncontested “best AI for math,” because rankings vary by benchmark, and AIME is an im
What are the key points to validate first?
If you mean benchmark performance on competition-style math, Gemini 3.1 Pro Preview looks like the current top pick on AIME, with Vals AI listing it at 98.13% accuracy.[1] But there is no single uncontested “best AI for math,” because rankings vary by benchmark, and AIME is an im Vals AI currently lists Gemini 3.1 Pro Preview as the top AIME model at 98.13%.[1]
Which related topic should I explore next?
Continue with "Show me top 5 trending research topic US users often ask about GPT 5.5 Spud now. Dont give me questions you mentions in previous messages." for another angle and extra citations.
Cross-check this answer against "Research and fact check: GPT 5.5 Spud, Inference economics: token efficiency, API pricing, and production latency/throughput tradeoffs.".
Gemini 3.1 Pro Preview (02/26) is the new top-performing model on AIME at 98.13% accuracy. * As the AIME questions and answers are publicly available, there is a risk that models may have been exposed to them during pretraining. Notably, models tend to perform better on older (2024) questions compared to the newer 2025 set, raising questions about data contamination and true generalization. The top models now achieve near-perfect accuracy on this benchmark, although performance can vary significantly between the 2024 and 2025 question sets. For this benchmark, we used the thirty questions f…
AIME & HMMT: Can AI Models Do Competition Math? AIME and HMMT are high school math olympiad competitions now used to benchmark AI. Frontier models score 95-99% — competition math is effectively solved. Frontier AI models now score 95-99% on AIME and HMMT — competition math is effectively solved. Frontier models now score 95-99% on these competitions. | Model | AIME 2025 | HMMT 2025 |. The top models are all above 95 on AIME 2025 and above 90 on HMMT 2025. In 2023, the best models scored around 50-60% on AIME. When we say competition math is "solved," we mean AI models can reliably answer th…
AIME 2025 Benchmark Leaderboard: Token Usage. # AIME 2025 Benchmark Leaderboard. ## AIME 2025 Benchmark Leaderboard: Results. ## AIME 2025 Benchmark Leaderboard: Cost Breakdown. ## AIME 2025 Benchmark Leaderboard: Score vs. A composite benchmark aggregating ten challenging evaluations to provide a holistic measure of AI capabilities across mathematics, science, coding, and reasoning. A frontier-level benchmark with 2,500 expert-vetted questions across mathematics, sciences, and humanities, designed to be the final closed-ended academic evaluation. A benchmark evaluating precise instruction…
Comparison of the 3 Most Powerful Math Problem-Solving AI Models: Gemini 3.1 Pro vs Claude Sonnet 4.6 vs GPT-5.4 (2026 Real-World Test Data). Author's Note: An in-depth comparison of the top 3 AI models for math problem-solving in 2026, including authoritative benchmark data from AIME and MATH, to help you find the most suitable mathematical reasoning model. import openai from typing import Optional def solve_math( problem: str, model: str = "gemini-3.1-pro-preview", system_prompt: Optional[str] = None ) -> str: """ Call an AI model to solve a math problem. problem = "In triangle ABC, given…
You can find more information about the public problems here. For each FrontierMath question, the model needs to submit a Python function i.j4i.i2
answer()
that returns the answer. > * Do not submit your answer using the python tool. It is also not the methodology used by OpenAI in their own FrontierMath evaluations, such as for the o3 and o3-mini models: we were not involved in running these evaluations. The difference between our results and…
As of early 2026, the leading models have essentially solved HMMT-level problems: xAI’s Grok-4 Heavy achieved 96.7% accuracy on HMMT25, with GPT-5 variants scoring around 92% and Google’s Gemini 3 Pro reaching 95% on comparable AIME benchmarks () (). Mathematical reasoning is a longtime challenge for LLMs. Early work like the MATH dataset (NeurIPS 2021) collected 12,500 math contest problems and showed GPT-3 models scored only ~5% accuracy, while a human (3-time IMO gold medalist) scored ~90% (). As a formal benchmark, HMMT25 collects these contest problems (in English) and measures an AI mod…
Research and analysis on the trajectory of AI development. AI data centers tracked via satellite imagery and permit data. Ownership of global AI chips across major companies. Data on key organizations and labs driving AI development worldwide. We also track AI model performance across 40+ benchmarks. #### By Epoch AI. ##### About Epoch AI. Meet the researchers, engineers, and scientists working to make sense of AI. Research and analysis on the trajectory of AI development. AI data centers tracked via satellite imagery and permit data. Ownership of global AI chips across major companies. Data…
| by Rick Hightower | Spillwave Solutions. ## More from Rick Hightower and Spillwave Solutions. Image 12: Agentic Coding: GSD vs Spec Kit vs OpenSpec vs Taskmaster AI: Where SDD Tools Diverge. ## Mastering Agentic Skills: The Complete Guide to Building Effective Agent Skills ### Transform your coding agents OpenCode, Claude Code, Codex and more from a general-purpose AI into a domain expert through well-crafted…. Image 20: I used Karpathy’s LLM Wiki to build a knowledge base that maintains itself with AI. Image 22: 10 Must-Have Skills for Claude (and Any Coding Agent) in 2026. ## 10 Must-Have…
