Run Details #382

Model

Llama 3.2 1B (LMStudio)

Score

40

Correct (≥100)

16/40

Incorrect (<100)

24

Avg Time

260.3ms

Tokens Used

10869

Cost

522µ$

Benchmark: 0102_translation_en_es

Run Date: 2026-02-28 17:14:27

Questions (40)

Question: Translate this word: "stimulant"

Expected

estimulante

Provided

stimulant

Question: Translate this word: "laxative"

Expected

laxante

Provided

estimulante

Question: Translate this word: "sedative"

Expected

sedante

Provided

sedativo

Question: Translate this word: "antidote"

Expected

antídoto

Provided

antidote

Question: Translate this word: "team"

Expected

equipo

Provided

equipo

Question: Translate this word: "band"

Expected

banda

Provided

gabinete

Question: Translate this word: "board"

Expected

junta

Provided

gabinete

Question: Translate this word: "population"

Expected

población

Provided

población

Question: Translate this word: "chance"

Expected

oportunidad

Provided

Oportunidad

Question: Translate this word: "silence"

Expected

silencio

Provided

silencia

Question: Translate this word: "shadow"

Expected

sombra

Provided

sombra

Question: Translate this word: "hearing"

Expected

audiencia

Provided

presencia

Question: Translate this word: "forest"

Expected

bosque

Provided

palma

Question: Translate this word: "berry"

Expected

baya

Provided

nueza

Question: Translate this word: "grass"

Expected

hierba

Provided

flor

Question: Translate this word: "plant"

Expected

planta

Provided

planta

Question: Translate this word: "passage"

Expected

pasaje

Provided

passage

Question: Translate this word: "zoo"

Expected

zoológico

Provided

zoológico

Question: Translate this word: "farm"

Expected

granja

Provided

granja

Question: Translate this word: "museum"

Expected

museo

Provided

museo

Question: Translate this word: "rough"

Expected

áspero

Provided

rough

Question: Translate this word: "comfortable"

Expected

cómodo

Provided

cómodo

Question: Translate this word: "bent"

Expected

doblado

Provided

doblado

Question: Translate this word: "high"

Expected

alto

Provided

alto

Question: Translate this word: "pistol"

Expected

pistola

Provided

flecha

Question: Translate this word: "helmet"

Expected

casco

Provided

casco

Question: Translate this word: "gun"

Expected

pistola

Provided

gun

Question: Translate this word: "weapon"

Expected

arma

Provided

armadura

Question: Translate this word: "friendly"

Expected

amigable

Provided

amigable

Question: Translate this word: "patient"

Expected

paciente

Provided

paziente

Question: Translate this word: "intelligent"

Expected

inteligente

Provided

sabio

Question: Translate this word: "kind"

Expected

amable

Provided

amable

Question: Translate this word: "deny"

Expected

negar

Provided

deny

Question: Translate this word: "say"

Expected

decir

Provided

saying

Question: Translate this word: "request"

Expected

solicitar

Provided

solicitar

Question: Translate this word: "complain"

Expected

quejarse

Provided

complainte

Question: Translate this word: "previous"

Expected

anterior

Provided

ante

Question: Translate this word: "following"

Expected

siguiente

Provided

medio

Question: Translate this word: "next"

Expected

próximo

Provided

next

Question: Translate this word: "front"

Expected

delantero

Provided

delantero

Run Details #382

Model

Llama 3.2 1B (LMStudio)

Score

40

Correct (≥100)

16/40

Incorrect (<100)

24

Avg Time

260.3ms

Tokens Used

10869

Cost

522µ$

Questions (40)

0102_translation_en_es:0 Incorrect Score: 0 • 404ms • 281 tokens • 20µ$

0102_translation_en_es:1 Incorrect Score: 0 • 259ms • 277 tokens • 13µ$

0102_translation_en_es:2 Incorrect Score: 0 • 228ms • 274 tokens • 11µ$

0102_translation_en_es:3 Incorrect Score: 0 • 224ms • 274 tokens • 11µ$

0102_translation_en_es:4 Correct Score: 100 • 258ms • 269 tokens • 13µ$

0102_translation_en_es:5 Incorrect Score: 0 • 245ms • 270 tokens • 12µ$

0102_translation_en_es:6 Incorrect Score: 0 • 232ms • 269 tokens • 12µ$

0102_translation_en_es:7 Correct Score: 100 • 239ms • 270 tokens • 12µ$

0102_translation_en_es:8 Correct Score: 100 • 232ms • 271 tokens • 12µ$

0102_translation_en_es:9 Incorrect Score: 0 • 172ms • 268 tokens • 9µ$

0102_translation_en_es:10 Correct Score: 100 • 199ms • 269 tokens • 10µ$

0102_translation_en_es:11 Incorrect Score: 0 • 324ms • 275 tokens • 16µ$

0102_translation_en_es:12 Incorrect Score: 0 • 215ms • 268 tokens • 11µ$

0102_translation_en_es:13 Incorrect Score: 0 • 242ms • 271 tokens • 12µ$

0102_translation_en_es:14 Incorrect Score: 0 • 314ms • 274 tokens • 16µ$

0102_translation_en_es:15 Correct Score: 100 • 232ms • 268 tokens • 12µ$

0102_translation_en_es:16 Incorrect Score: 0 • 201ms • 269 tokens • 10µ$

0102_translation_en_es:17 Correct Score: 100 • 278ms • 281 tokens • 14µ$

0102_translation_en_es:18 Correct Score: 100 • 263ms • 272 tokens • 13µ$

0102_translation_en_es:19 Correct Score: 100 • 187ms • 267 tokens • 9µ$

0102_translation_en_es:20 Incorrect Score: 0 • 288ms • 274 tokens • 14µ$

0102_translation_en_es:21 Correct Score: 100 • 238ms • 272 tokens • 12µ$

0102_translation_en_es:22 Correct Score: 100 • 234ms • 272 tokens • 12µ$

0102_translation_en_es:23 Correct Score: 100 • 218ms • 269 tokens • 11µ$

0102_translation_en_es:24 Incorrect Score: 0 • 248ms • 270 tokens • 12µ$

0102_translation_en_es:25 Correct Score: 100 • 230ms • 271 tokens • 12µ$

0102_translation_en_es:26 Incorrect Score: 0 • 498ms • 284 tokens • 25µ$

0102_translation_en_es:27 Incorrect Score: 0 • 259ms • 271 tokens • 13µ$

0102_translation_en_es:28 Correct Score: 100 • 232ms • 274 tokens • 12µ$

0102_translation_en_es:29 Incorrect Score: 0 • 232ms • 270 tokens • 12µ$

0102_translation_en_es:30 Incorrect Score: 0 • 293ms • 273 tokens • 15µ$

0102_translation_en_es:31 Correct Score: 100 • 197ms • 269 tokens • 10µ$

0102_translation_en_es:32 Incorrect Score: 0 • 327ms • 275 tokens • 16µ$

0102_translation_en_es:33 Incorrect Score: 0 • 217ms • 271 tokens • 11µ$

0102_translation_en_es:34 Correct Score: 100 • 313ms • 273 tokens • 16µ$

0102_translation_en_es:35 Incorrect Score: 0 • 397ms • 278 tokens • 20µ$

0102_translation_en_es:36 Incorrect Score: 0 • 231ms • 264 tokens • 12µ$

0102_translation_en_es:37 Incorrect Score: 0 • 249ms • 266 tokens • 12µ$

0102_translation_en_es:38 Incorrect Score: 0 • 274ms • 267 tokens • 14µ$

0102_translation_en_es:39 Correct Score: 100 • 289ms • 269 tokens • 14µ$