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Run: 2026-05-01-01KQHQK3K34JEKCAFVXM7YE8NG
Run Details
Model:
Grok 4.20
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
7.2s
Cost:
$0.000858
Provider:
xAI
Evaluation summary
Score
Evaluator
Details Link
99.74%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
49.8722%
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 shifted the blueprint of the community center and grinned like a fox in a henhouse. “Bill, you absolute walnut, we’re not hitting a bank. It’s a kiddie bash. Cake, balloons, and a mountain of shiny presents with our names on them.” Bill rubbed his beard, squinting. “You want us to crash a children’s party? I feel like that’s a new low, even for us.” “Low? It’s brilliant,” Molly said, tapping the paper. “We go in as the hired magicians. I palm the good stuff while you do that terrible rabbit trick that makes toddlers cry. By the time the parents realize their little darlings are sobbing, we’ll be halfway to Mexico with enough Barbies and Transformers to start our own black-market toy empire.” “I draw the line at wearing the sparkly cape,” Bill muttered. “You’ll wear the cape and you’ll like it,” Molly shot back. “Look, we slip in during musical chairs, cut the lights when they bring out the cake, and boom—ninja thieves in velcro sneakers. Easiest score since we stole the mayor’s toupee.” Bill sighed. “Fine. But if we get recognized by some six-year-old, I’m blaming you.” Molly cackled. “Relax. We’ll be legends. The ones who stole Christmas… in July.”
created_at
"2026-05-01T12:18:07.593Z"
5/1/2026, 12:18:07 PM
model
"x-ai/grok-4.20-20260309"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
610
moderation_latency
(null)
generation_time
7093
tokens_prompt
77
tokens_completion
327
native_tokens_prompt
182
native_tokens_completion
279
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
0.0008578
router
(null)
provider_responses
0
endpoint_id
"3ecee37f-b217-4093-87fb-aaf0afe307af"
id
"d5f00502-dbec-9bd0-9358-30f31e137ecc"
is_byok
false
latency
67
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-1777637887-z1TwY6aUgAoJwMg6txdl"
session_id
(null)
api_type
"completions"
id
"gen-1777637887-n0iuPgWWRtaW0tKO8YDB"
upstream_id
"d5f00502-dbec-9bd0-9358-30f31e137ecc"
total_cost
0.0008578
cache_discount
0.0000672
upstream_inference_cost
0
provider_name
"xAI"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
99.74%
Matches word count
n/a
neededClean
false
words
204
0.00%
Dialogue to Total Word Ratio
Ratio: 83.09%, Deviation: 33.09%
neededClean
false
wordsTotal
207
wordsDialogue
172
49.8722%