Gemini vs Kimi for Math

Kimi edges out Gemini for pure mathematical problem-solving, with an exceptional 96.1% on AIME 2025 compared to Gemini's unreported score, while Gemini maintains a broader edge on mixed science-reasoning tasks like GPQA Diamond (94% vs 87.6%). For competition-style math and calculation-heavy work, Kimi is the better choice; for integrated multi-domain reasoning with a massive context window, Gemini wins. Both support extended thinking, but Kimi's specialized strength in pure math makes it the preferred option for dedicated math users.

Head-to-Head for Math

Math Competition Problems

Kimi

Gemini

GPQA: 94% strong performance

Kimi

AIME 2025: outstanding 96.1%

Extended Reasoning Capability

Tie

Gemini

Extended thinking supported

Kimi

Extended thinking supported

Context for Complex Problems

Gemini

Gemini

1M token context window

Kimi

128K token context

General Math Benchmarks

Gemini

Gemini

94% on GPQA Diamond

Kimi

87.6% on GPQA

Cost Per Use

Kimi

Gemini

Higher API costs

Kimi

More affordable pricing

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.

Gemini 3.1 Pro

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

Here is the step-by-step solution to evaluate the integral, followed by the verification.

Part 1: Evaluating the Integral

To solve the integral $\int x^2 \ln(x) , dx$, we will use Integration by Parts. The formula for integration by parts is: $\int u , dv = u \cdot v - \int v , du$

Step 1: Choose $u$ and $dv$. We use the LIATE rule (Logarithmic, Inverse trigonometric, Algebraic, Trigonometric, Exponential) to determine our $u$. Since we have a logarithmic function ($\ln(x)$) and an algebraic function ($x^2$), we set:

  • $u = \ln(x)$
  • $dv = x^2 , dx$

Step 2: Find $du$ and $v$.

  • Differentiate $u$ to find $du$: $du = \frac{1}{x} , dx$
  • Integrate $dv$ to find $v$: $v = \int x^2 , dx = \frac{x^3}{3}$

Step 3: Apply the Integration by Parts formula. Substitute $u$, $v$, $du$, and $dv$ into the formula $\int u , dv = u \cdot v - \int v , du$: $\int x^2 \ln(x) , dx = \left(\ln(x)\right)\left(\frac{x^3}{3}\right) - \int \left(\frac{x^3}{3}\right)\left(\frac{1}{x}\right) , dx$

Step 4: Simplify and solve the remaining integral. First, clean up the expression: $= \frac{x^3}{3} \ln(x) - \int \frac{x^2}{3} , dx$

Now, pull the constant ($\frac{1}{3}$) out of the integral and integrate $x^2$: $= \frac{x^3}{3} \ln(x) - \frac{1}{3} \int x^2 , dx$ $= \frac{x^3}{3} \ln(x) - \frac{1}{3} \left(\frac{x^3}{3}\right) + C$

Final Answer for the Integral: $\int x^2 \ln(x) , dx = \frac{x^3}{3} \ln(x) - \frac{x^3}{9} + C$

(Note: This can also be factored and written as $\frac{x^3}{9}(3\ln(x) - 1) + C$)


Part 2: Verification by Differentiation

To verify our answer, we must take the derivative of our result. If correct, it should evaluate back to the original integrand, $x^2 \ln(x)$.

We want to find: $\frac{d}{dx} \left[ \frac{x^3}{3} \ln(x) - \frac{x^3}{9} + C \right]$

Step 1: Differentiate the first term using the Product Rule. The Product Rule is $\frac{d}{dx}[f(x)g(x)] = f'(x)g(x) + f(x)g'(x)$. Let $f(x) = \frac{x^3}{3}$ and $g(x) = \ln(x)$.

  • $f'(x) = \frac{3x^2}{3} = x^2$
  • $g'(x) = \frac{1}{x}$

Applying the rule: $\frac{d}{dx} \left[ \frac{x^3}{3} \ln(x) \right] = (x^2)(\ln(x)) + \left(\frac{x^3}{3}\right)\left(\frac{1}{x}\right)$ $= x^2 \ln(x) + \frac{x^2}{3}$

Step 2: Differentiate the second and third terms.

  • $\frac{d}{dx} \left[ -\frac{x^3}{9} \right] = -\frac{3x^2}{9} = -\frac{x^2}{3}$
  • $\frac{d}{dx} [C] = 0$

Step 3: Combine all the derivatives. $\frac{d}{dx} \left[ \frac{x^3}{3} \ln(x) - \frac{x^3}{9} + C \right] = \left( x^2 \ln(x) + \frac{x^2}{3} \right) - \frac{x^2}{3} + 0$

Notice that $+ \frac{x^2}{3}$ and $- \frac{x^2}{3}$ cancel each other out perfectly: $= x^2 \ln(x)$

Because taking the derivative yields our original integrand, our integration is verified to be correct.

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Detailed Breakdown

When it comes to math, Kimi has a significant edge — and the benchmark data makes this hard to argue against. Kimi K2.5 scores an impressive 96.1% on AIME 2025, a competition-level math benchmark that tests advanced problem-solving across algebra, geometry, number theory, and combinatorics. That score puts it among the best-performing models available. Gemini 3.1 Pro doesn't have a published AIME score, but its 94% on GPQA Diamond signals strong graduate-level scientific reasoning, which includes quantitative disciplines.

For pure mathematical problem-solving — think calculus, linear algebra, proof verification, or competition math — Kimi is the stronger choice. Its extended thinking mode allows it to work through multi-step problems methodically, showing its reasoning in a way that's genuinely useful for checking work or learning from the solution. Students preparing for math olympiads or engineers tackling dense technical problems will find Kimi's output precise and well-structured.

Gemini, however, brings practical advantages that matter in applied math contexts. Its code execution capability means it can run Python or numerical computations directly, which is invaluable when you need to solve a system of equations numerically, plot a function, or verify a result through computation. Kimi lacks this feature. If you're doing data science, financial modeling, or any workflow where math meets code, Gemini's ability to compute and visualize adds real value that raw reasoning scores don't capture.

Gemini also supports file uploads, so you can hand it a PDF of a textbook chapter, a problem set, or a research paper and ask it to work through the math inline. This makes it a more versatile study or research companion. Kimi's 128K context window is reasonable but falls well short of Gemini's 1 million tokens, which matters when working with large documents or long derivations.

For a high school or undergraduate student who wants help understanding math concepts, step-by-step solutions, or exam preparation, Kimi's superior raw math reasoning combined with its free tier makes it the practical pick. For a working professional or researcher who needs math integrated with computation, code, and large documents, Gemini's ecosystem wins out.

Recommendation: Choose Kimi if math accuracy and reasoning depth are the priority — its AIME 2025 score of 96.1% is a real differentiator. Choose Gemini if you need math combined with code execution, file analysis, or deep Google Workspace integration. For most students and math-focused users, Kimi is the stronger starting point.

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