Problem Analysis #13

29.23s
6,529 toks
Problem Statement

Let L1L_1 be the line of intersection of the planes given by the equations2x+3y+z=4andx+2y+z=5.2x + 3y + z = 4 \quad \text{and} \quad x + 2y + z = 5.Let L2L_2 be the line passing through the point P(2,1,3)P(2, -1, 3) and parallel to L1L_1. Let Π\Pi denote the plane given by the equation2x+y2z=6.2x + y - 2z = 6.Suppose that the line L2L_2 meets the plane Π\Pi at the point QQ. Let RR be the foot of the perpendicular drawn from PP to the plane Π\Pi.If the length of the line segment PQPQ is \ell and the area of PQR\triangle PQR is AA, find the value of 4$$\ell$$^2 A^2.\

Ground Truth
511758
Execution Trace
Reasoning Process

[THOUGHT] First, find direction of L1 by cross product of normals <2,3,1> and <1,2,1>.

Then parametric for L2 through P(2,-1,3) with dir <1,-1,1>.

Intersect with plane 2x+y-2z=6 to find Q.

Then foot R from P to plane along normal <2,1,-2>.

Then compute PQ vector, PR vector, cross product magnitude /2 for A.

PQ mag for ell.

Then compute 4 ell^2 A^2.

Use sympy or numpy for vectors, but since simple, use numpy for cross and norms. [/THOUGHT] [PYTHON] import numpy as np

Direction of L1

n1 = np.array([2,3,1]) n2 = np.array([1,2,1]) d = np.cross(n1, n2) print('Direction:', d)

L2 parametric: point P

P = np.array([2, -1, 3])

Find Q: solve 2(2+t)-1-t -2(3+t)=6, but use param

t from plane eq

Or solve linear

Plug parametric into plane

coeffs: normal dot dir = 21 +1(-1) + (-2)*1 =2-1-2= -1

plane at P: 22 +(-1) -23 =4-1-6= -3, plane=6 so -3 + t*(-1) =6

t*(-1)=9, t=-9 yes

t = -9 Q = P + t * d print('Q:', Q)

R: foot, s=1 as calculated

R = np.array([4,0,1]) print('R:', R)

PQ vec

PQ = Q - P print('PQ:', PQ) ell = np.linalg.norm(PQ) print('ell:', ell)

PR

PR = R - P print('PR:', PR)

cross

cross = np.cross(PQ, PR) print('cross:', cross) mag_cross = np.linalg.norm(cross) A = 0.5 * mag_cross print('A:', A)

ell2 = ell2 A2 = A2 result = 4 * ell2 * A2 print('4 l^2 A^2:', result) [/PYTHON]

Tool Output
[PYTHON OUTPUT] Direction: [ 1 -1 1] Q: [-7 8 -6] R: [4 0 1] PQ: [-9 9 -9] ell: 15.588457268119896 PR: [ 2 1 -2] cross: [ -9 -36 -27] A: 22.94558781116753 4 l^2 A^2: 511758.0 [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The Python output gives 4 l^2 A^2: 511758.0, which is exactly 511758. That's the answer. [/THOUGHT] \boxed{511758}

Explanation

The reasoning follows a systematic vector

Final Model Output
511758

Comparative Analysis (P13) (Average across runs)

Avg Time Taken

K-EXAONE-236B-A23B
479.1
Deepseek-V3.2
97.6
Kanana-2-30B-Thinking
71.3
Gemini-3-Pro-Preview
51.8
Llama-VARCO-8B-Instruct
51.0
Solar-Open-100B
48.1
Kanana-2-30B-Thinking-2601
45.8
Solar-Pro-2 (31B)(high)
38.9
A.X-4.0 (72B)
35.8
HCX-007(high)
35.3
K-EXAONE-236B-A23B
31.5
Grok-4.1-fast
29.2
GPT-5.1 (high)
22.2
Claude-Opus-4.5
21.5
GPT-5.2 (high)
11.5
axk1
10.7
EXAONE-4.0.1-32B (high)
7.0

Avg Token Usage

K-EXAONE-236B-A23B
51665.0
Kanana-2-30B-Thinking
11762.0
Kanana-2-30B-Thinking-2601
10529.5
Solar-Open-100B
10064.0
Solar-Pro-2 (31B)(high)
7713.0
Gemini-3-Pro-Preview
7454.0
GPT-5.1 (high)
7218.0
Grok-4.1-fast
6529.0
HCX-007(high)
5083.0
Claude-Opus-4.5
4957.0
Deepseek-V3.2
4661.0
EXAONE-4.0.1-32B (high)
4487.0
K-EXAONE-236B-A23B
4111.0
GPT-5.2 (high)
3541.0
axk1
3447.0
A.X-4.0 (72B)
2921.0
Llama-VARCO-8B-Instruct
1020.0