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Run: 2026-07-08-01KX1KWX8A0DCA05733X9CZ0C2
Run Details
Model:
Grok 4.5 (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
24.9s
Cost:
$0.007104
Provider:
xAI
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.99%
Dialogue to Total Word Ratio
(details)
99.9953%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.
Model response
Messages
Meta
AI
Bill whispered, "Molly, the kids' party is our golden ticket. We break in through the side gate when the bouncy castle deflates a bit." "Bill, you nutcase," Molly replied, "stealing every present under that rainbow banner? Parents will go nuts if they catch thrifts like us." "We pose as extra clowns," Bill said. "Juggling rubber chickens, tossing confetti, then bagging the loot while they cheer the birthday kid." "What about screaming toddlers clinging to packages?" Molly asked. "They notice missing dolls faster than security cameras." "Distract with free candy and balloon animals," Bill explained. "You twist a giraffe, I palm the gift cards. Timing with the cake smash means chaos covers the grab." "Sounds slapstick perfect," Molly noted. "Load them into that fake pizza van out back before ice cream melts." "Exactly," Bill laughed. "Presents worth more than a bank vault if we fence the electronics first." "Bill, clown shoes for quiet steps, right? And fake noses so no one IDs us later." "Don't forget the escape hatch under the gift table," Bill added. "In and out, no traces, just empty bows left behind." "We'll be heist heroes swimming in toys," Molly grinned. "Kids get confetti, we get rich."
created_at
"2026-07-08T19:39:54.512Z"
7/8/2026, 7:39:54 PM
model
"x-ai/grok-4.5-20260708"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
451
moderation_latency
(null)
generation_time
24894
tokens_prompt
77
tokens_completion
475
native_tokens_prompt
267
native_tokens_completion
1159
native_tokens_completion_images
(null)
native_tokens_reasoning
875
native_tokens_cached
256
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"completed"
service_tier
"default"
usage
0.007104
router
(null)
provider_responses
0
endpoint_id
"0e927811-b1a8-4604-8b86-db5ce6eaa87c"
id
"bd840474-9446-94c1-8c60-a8139ddfd577"
is_byok
false
latency
106
model_permaslug
"x-ai/grok-4.5-20260708"
provider_name
"xAI"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1783539594-Tw8dEAClo62BwWDU2WaL"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1783539594-5NKLd4cKIGKJbvZUe7kW"
upstream_id
"bd840474-9446-94c1-8c60-a8139ddfd577"
total_cost
0.007104
cache_discount
0.000384
upstream_inference_cost
0
provider_name
"xAI"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
199
99.99%
Dialogue to Total Word Ratio
Ratio: 90.95%, Deviation: 0.95%
neededClean
false
wordsTotal
199
wordsDialogue
181
99.9953%