Perplexity vs Qwen for Math

Qwen3.5 Plus is significantly better for math, with a 91.3% score on the AIME 2025 benchmark—a direct measure of mathematical reasoning—while Perplexity lacks comparable math-specific performance metrics. Perplexity prioritizes web search and source citations over mathematical problem-solving, making it less effective for complex math tasks. For math-focused work, Qwen delivers superior accuracy at a fraction of Perplexity's cost.

Head-to-Head for Math

Mathematical Reasoning Ability

Qwen

Perplexity

Good search-based approach

Qwen

Exceptional (AIME 91.3%)

Advanced Mathematics Topics

Qwen

Perplexity

Moderate depth and coverage

Qwen

Strong (GPQA Diamond 88.4%)

Solution Source Verification

Perplexity

Perplexity

Built-in citations and sources

Qwen

No source attribution

Real-time Mathematical Information

Perplexity

Perplexity

Web search for latest data

Qwen

Limited to training data

Affordability for Math Practice

Qwen

Perplexity

$20/month subscription required

Qwen

Very cost-effective model

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.

Perplexity Sonar Pro

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

To solve x2lnxdx\int x^2 \ln x \, dx, use integration by parts, where udv=uvvdu\int u \, dv = uv - \int v \, du.[1][2][3]

Set u=lnxu = \ln x, so du=1xdxdu = \frac{1}{x} dx, and dv=x2dxdv = x^2 dx, so v=x33v = \frac{x^3}{3}.[1][2][3]

Then, x2lnxdx=lnxx33x331xdx=x3lnx313x2dx.\int x^2 \ln x \, dx = \ln x \cdot \frac{x^3}{3} - \int \frac{x^3}{3} \cdot \frac{1}{x} \, dx = \frac{x^3 \ln x}{3} - \frac{1}{3} \int x^2 \, dx.[1][2][3]

Integrate: x2dx=x33\int x^2 \, dx = \frac{x^3}{3}, so x3lnx313x33+C=x3lnx3x39+C.\frac{x^3 \ln x}{3} - \frac{1}{3} \cdot \frac{x^3}{3} + C = \frac{x^3 \ln x}{3} - \frac{x^3}{9} + C.[1][2][3]

Verification by differentiation: Differentiate x3lnx3x39\frac{x^3 \ln x}{3} - \frac{x^3}{9}.

Product rule on first term: ddx(x3lnx3)=13(3x2lnx+x31x)=x2lnx+x23\frac{d}{dx} \left( \frac{x^3 \ln x}{3} \right) = \frac{1}{3} \left( 3x^2 \ln x + x^3 \cdot \frac{1}{x} \right) = x^2 \ln x + \frac{x^2}{3}.

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

Total: x2lnx+x23x23=x2lnxx^2 \ln x + \frac{x^2}{3} - \frac{x^2}{3} = x^2 \ln x, matching the integrand.[1][2][3]

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Detailed Breakdown

When it comes to math, these two tools serve very different purposes — and Qwen has a clear edge for anyone doing serious mathematical work.

Qwen's benchmark scores tell the story plainly. Its 91.3% on AIME 2025 — a competition-level math test that trips up most models — and 88.4% on GPQA Diamond place it among the strongest math performers available. With an 87.8% MMLU Pro score, it handles the full breadth of mathematical domains: calculus, linear algebra, number theory, combinatorics, and statistics. Extended thinking mode lets Qwen work through multi-step proofs and derivations more carefully, reducing the kind of arithmetic slippage that plagues faster models. For a student working through a tricky integral, a researcher verifying a proof, or a data scientist checking statistical reasoning, Qwen delivers reliable, step-by-step mathematical output.

Perplexity approaches math from a completely different angle. Its strength is sourcing — if you ask "what is the current consensus on the Collatz conjecture?" or "find me the formula for compound interest with continuous compounding," Perplexity will return cited answers with links to authoritative sources like Wolfram MathWorld, academic papers, or textbooks. That's genuinely useful for mathematical research, fact-checking definitions, or quickly locating theorems you half-remember. However, when it comes to actually solving problems — working through a system of differential equations, simplifying a complex expression, or debugging a proof — Perplexity is not built for that. Its responses can feel formulaic and it lacks the deep mathematical reasoning that Qwen brings.

In practical terms: if you need to look up whether Fermat's Last Theorem has been proven and who proved it, Perplexity is fast and reliable. If you need to work through a proof by induction, verify a matrix decomposition, or solve a set of equations step by step, Qwen is the better tool by a significant margin.

Cost also favors Qwen. At roughly $0.40 per million input tokens, running extensive math problem sets through Qwen's API is far more economical than Perplexity's $3.00/million — relevant for developers building math tutoring tools or automated grading systems.

Recommendation: Choose Qwen for math. Its benchmark performance is exceptional, its extended thinking mode supports complex multi-step reasoning, and it handles everything from high school algebra to graduate-level mathematics. Use Perplexity as a complement for research and source discovery, not as your primary math solver.

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