Run: 2026-05-01-01KQHQQZEBMDN14NQAAJ8C5P6W

Run Details

Duration:
1m 54s
Cost:
$0.026195
Provider:
xAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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

AI
Molly and Bill lurked in the shadows of the neighbor's garden, their eyes fixed on the bustling children's birthday party next door filled with laughter, music, and a tempting array of gift boxes stacked precariously on a table. As professional thieves specializing in comedic capers, they saw this as an opportunity to add humorous flair to their resume by absconding with all the presents while the kids were distracted by games and treats. Their strategy involved posing as party entertainers with silly props to gain entry unnoticed, then using a series of pranks to create chaos for the getaway. Bill fiddled with his fake mustache as they finalized the last minute adjustments. Bill said, "Distract them with funny songs in the magic show." Molly replied, "Then grab all the presents and stuff them in the bag." Success depended on precise timing and a touch of slapstick to confuse any suspicious adults watching over the festivities. They would approach from the side gate, blending in with the costumed guests before making their move on the valuables. They had selected this children's party specifically because the pile of presents contained expensive toys suitable for their quick resale and personal enjoyment later on.
created_at"2026-05-01T12:20:47.185Z" 5/1/2026, 12:20:47 PM
model"x-ai/grok-4.3-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency112217
moderation_latency(null)
generation_time113924
tokens_prompt77
tokens_completion2729
native_tokens_prompt184
native_tokens_completion10413
native_tokens_completion_images(null)
native_tokens_reasoning10181
native_tokens_cached64
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0261953
router(null)
provider_responses
0
endpoint_id"45623cb8-18e5-4b32-8fc4-85d05439982d"
id"4d7a9e78-c298-fd55-234c-63471603d9b2"
is_byokfalse
latency63
model_permaslug"x-ai/grok-4.3-20260430"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777638047-G9q5LBFqtuInPOqfSs44"
session_id(null)
api_type"completions"
id"gen-1777638047-ftTcRDsao3730w2witMj"
upstream_id"4d7a9e78-c298-fd55-234c-63471603d9b2"
total_cost0.0261953
cache_discount0.0000672
upstream_inference_cost0
provider_name"xAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 10.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue20
100.0000%