ChatGPT vs Claude for Math

Claude edges out ChatGPT for pure mathematical reasoning, with a stellar 95.6% score on AIME 2025 (one of the most challenging math competitions) and access to extended thinking for tackling complex problems step-by-step. ChatGPT has a slight advantage on general reasoning tasks involving math (GPQA Diamond: 92.8% vs 89.9%), but for serious mathematical problem-solving, Claude's specialization makes it the stronger choice. Both are capable; pick Claude if math is your primary need, ChatGPT if you want a generalist with broader web search and image generation features.

Head-to-Head for Math

Competition mathematics (AIME-style)

Claude

ChatGPT

Strong reasoning

Claude

Exceptional (95.6%)

Graduate-level math knowledge

ChatGPT

ChatGPT

Excellent (92.8%)

Claude

Very strong (89.9%)

Extended thinking for complex problems

Claude

ChatGPT

Good capability

Claude

Superior depth

Step-by-step explanations

Tie

ChatGPT

Clear breakdown

Claude

Precise breakdown

Real-time computation

ChatGPT

ChatGPT

Execute code

Claude

Text-based only

See Them Answer a Math Question

We asked both models the same math-focused prompt.

Solve the integral ∫(x²·ln(x))dx step by step, then verify your answer by differentiating the result.

GPT-5.4

Solve the integral ∫(x²·ln(x))dx step by step, then verify your answer by differentiating the result.

We need to compute

x2ln(x)dx\int x^2 \ln(x)\,dx

using integration by parts.

Step 1: Choose uu and dvdv

Let

u=ln(x),dv=x2dxu=\ln(x), \qquad dv=x^2\,dx

Then

du=1xdx,v=x2dx=x33du=\frac{1}{x}\,dx, \qquad v=\int x^2\,dx=\frac{x^3}{3}

Step 2: Apply integration by parts

Recall:

udv=uvvdu\int u\,dv = uv-\int v\,du

So,

x2ln(x)dx=ln(x)x33x331xdx\int x^2\ln(x)\,dx = \ln(x)\cdot \frac{x^3}{3} - \int \frac{x^3}{3}\cdot \frac{1}{x}\,dx

Simplify inside the remaining integral:

=x3ln(x)313x2dx= \frac{x^3\ln(x)}{3} - \frac{1}{3}\int x^2\,dx

Step 3: Integrate the remaining term

x2dx=x33\int x^2\,dx=\frac{x^3}{3}

Therefore,

x2ln(x)dx=x3ln(x)313x33+C\int x^2\ln(x)\,dx = \frac{x^3\ln(x)}{3} - \frac{1}{3}\cdot \frac{x^3}{3} +C

=x3ln(x)3x39+C= \frac{x^3\ln(x)}{3} - \frac{x^3}{9} +C

Final answer

x2ln(x)dx=x3ln(x)3x39+C\boxed{\int x^2\ln(x)\,dx=\frac{x^3\ln(x)}{3}-\frac{x^3}{9}+C}


Verification by differentiation

Differentiate

F(x)=x3ln(x)3x39F(x)=\frac{x^3\ln(x)}{3}-\frac{x^3}{9}

Differentiate the first term

ddx(x3ln(x)3)=13ddx(x3ln(x))\frac{d}{dx}\left(\frac{x^3\ln(x)}{3}\right) = \frac{1}{3}\frac{d}{dx}(x^3\ln(x))

Use the product rule:

ddx(x3ln(x))=3x2ln(x)+x31x\frac{d}{dx}(x^3\ln(x)) = 3x^2\ln(x)+x^3\cdot\frac{1}{x}

=3x2ln(x)+x2=3x^2\ln(x)+x^2

So,

ddx(x3ln(x)3)=13(3x2ln(x)+x2)=x2ln(x)+x23\frac{d}{dx}\left(\frac{x^3\ln(x)}{3}\right) = \frac{1}{3}\left(3x^2\ln(x)+x^2\right) = x^2\ln(x)+\frac{x^2}{3}

Differentiate the second term

ddx(x39)=3x29=x23\frac{d}{dx}\left(-\frac{x^3}{9}\right)=-\frac{3x^2}{9}=-\frac{x^2}{3}

Add the derivatives

F(x)=(x2ln(x)+x23)x23F'(x)=\left(x^2\ln(x)+\frac{x^2}{3}\right)-\frac{x^2}{3}

F(x)=x2ln(x)F'(x)=x^2\ln(x)

This matches the original integrand, so the answer is verified.

F(x)=x2ln(x)\boxed{F'(x)=x^2\ln(x)}

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Detailed Breakdown

When it comes to mathematical reasoning, both ChatGPT and Claude are genuinely capable tools — but they differ in meaningful ways depending on the type of math you're tackling.

Claude holds a clear edge on structured mathematical reasoning benchmarks. Its AIME 2025 score of 95.6% is exceptional, placing it among the top performers on competition-level problem sets. Claude's extended thinking feature shines here: for multi-step proofs, olympiad-style problems, or complex calculus, you can dial up the reasoning depth and watch it work through problems methodically. It tends to show its work clearly, making it easier to follow the logic and catch errors. For students learning math, this transparency is genuinely useful.

ChatGPT counters with a key practical advantage: code execution. When you ask ChatGPT to solve a numerical problem, it can run Python on the spot — factoring large integers, plotting functions, running symbolic algebra via libraries like SymPy, or verifying numerical results programmatically. This makes it more reliable for applied math, statistics, and data-heavy problems where computation matters as much as reasoning. Claude, by contrast, cannot execute code natively, so its answers to computationally intensive problems are generated from reasoning alone, which introduces more risk of arithmetic errors on complex numerical work.

ChatGPT also scores higher on GPQA Diamond (92.8% vs 89.9%), a benchmark that includes graduate-level science and quantitative reasoning, suggesting a slight edge in domain-expert-level problem solving. On the other hand, Claude's AIME performance suggests it handles elegant, proof-based reasoning particularly well.

For real-world use cases: a high school student working through algebra, geometry, or introductory calculus will find both tools excellent — Claude's clear explanations may be more pedagogically useful, while ChatGPT's ability to graph functions interactively adds visual context. A university student tackling proofs, linear algebra, or real analysis may prefer Claude's extended thinking for its step-by-step rigor. A data scientist or engineer who needs to run numerical simulations, fit statistical models, or verify results programmatically should lean toward ChatGPT, where code execution makes answers verifiable.

Recommendation: For pure mathematical reasoning, proof-writing, and competition math, Claude is the stronger choice. For applied math, statistics, and any problem where running computation matters, ChatGPT's code execution gives it a practical edge. If you're primarily a student or educator focused on conceptual understanding, start with Claude. If your math work lives closer to engineering or data science, ChatGPT is the better fit.

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