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Run: 2026-05-01-01KQHR10D0YMD5ZC7JF63J073N
Run Details
Model:
Grok 4.20
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
4.4s
Cost:
$0.000823
Provider:
xAI
Evaluation summary
Score
Evaluator
Details Link
99.38%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
49.6885%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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
Molly adjusted her oversized clown wig and peered through the hedge at the bouncing castle. “Bill, this is the dumbest idea you’ve ever had, and you once tried to rob a police station with a water pistol.” Bill grinned, adjusting his fake mustache. “Think about it, Mol. Twenty screaming kids, one stressed-out magician, and a mountain of brightly wrapped loot nobody’s guarding. We’ll be in and out before the birthday boy blows out his candles.” “We’re stealing from children,” Molly hissed. “I have standards. Low ones, but they exist.” “Standards?” Bill scoffed. “You once pickpocketed a nun. These presents are basically begging to be liberated. We’ll wear the stupid costumes, blend in, and swap the gifts with empty boxes. By the time they open them, we’re halfway to Mexico with Xboxes and whatever else rich kids get these days.” Molly sighed. “If we get recognized, I’m blaming your mustache. It looks like a depressed caterpillar.” “Fine. But I get the piñata. That thing’s bulging with candy and miniature greed. Come on, partner. One little party. What’s the worst that could happen?” “Famous last words,” Molly muttered, tugging her rainbow suspenders. “Let’s go ruin some childhoods.”
created_at
"2026-05-01T12:25:43.078Z"
5/1/2026, 12:25:43 PM
model
"x-ai/grok-4.20-20260309"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
728
moderation_latency
(null)
generation_time
4290
tokens_prompt
77
tokens_completion
334
native_tokens_prompt
182
native_tokens_completion
265
native_tokens_completion_images
(null)
native_tokens_reasoning
0
native_tokens_cached
64
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"
usage
0.0008228
router
(null)
provider_responses
0
endpoint_id
"3ecee37f-b217-4093-87fb-aaf0afe307af"
id
"6bf98519-3f37-9641-9262-4f909d8378ee"
is_byok
false
latency
105
model_permaslug
"x-ai/grok-4.20-20260309"
provider_name
"xAI"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777638343-iZRGxe3AbW8Nk4gjBnOy"
session_id
(null)
api_type
"completions"
id
"gen-1777638343-u45Ftp0Mg9yv9AIx4W0a"
upstream_id
"6bf98519-3f37-9641-9262-4f909d8378ee"
total_cost
0.0008228
cache_discount
0.0000672
upstream_inference_cost
0
provider_name
"xAI"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
99.38%
Matches word count
n/a
neededClean
false
words
195
0.00%
Dialogue to Total Word Ratio
Ratio: 83.16%, Deviation: 33.16%
neededClean
false
wordsTotal
196
wordsDialogue
163
49.6885%