Run: 2026-10-13-01M4TBPBRE4YFP5Q94RWHXMXHN

Run Details

Duration:
21.7s
Cost:
$0.020717
Provider:
Fireworks

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
99.12% Dialogue to Total Word Ratio (details)
99.5502% 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

AI
"The blueprints," Molly said, spreading a crayon drawing across the hood of the car. "That's a napkin," said Bill. "Timmy's mother drew the layout in crayon. I adapted. Now, the presents will be stacked here, by the bouncy castle." "What's our cover?" "You're the clown." "Why am I always the clown?" "Because you cried at the magic trick last time and ruined the ventriloquist gig." "He made a card disappear, Molly. Into thin air. That's not natural." "Focus. I cut the power at six. You grab the haul, we rendezvous at the bounce house exit." "There's a ball pit between us and the door." "I know." "Kids guard ball pits, Molly. They're territorial." "That's why you have the candy." "I'm not bribing children." "You're robbing them." "Fair point. What if one of them's got a phone?" "Then we move fast. In, out, ninety seconds." "And the dog?" "Balloon animal. Distraction." "What about the piƱata?" "Leave it. It's a decoy. Nobody puts good loot in a donkey." "My uncle did." "Your uncle went to prison, Bill." "Unrelated reasons. You think of everything." "I think of most things. You think of lunch." "I do think of lunch." "After the job, Bill." "After the job."
created_at"2026-10-13T10:07:24.954Z" 10/13/2026, 10:07:24 AM
model"fireworks/ember-1-20260923"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency878
moderation_latency(null)
generation_time21652
tokens_prompt75
tokens_completion1288
native_tokens_prompt149
native_tokens_completion1378
native_tokens_completion_images(null)
native_tokens_reasoning1063
native_tokens_cached148
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"stop"
service_tier(null)
usage0.0207174
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791886044-3iCEHv5N7Jy72IQFCjTc"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791886044-DpA8aQuUNoFtxTqf6z74"
upstream_id"chatcmpl-3a8ec55657c041a2bccea68bd9fecbe8"
provider_responses
0
endpoint_id"b89a2f05-4051-4446-a9b0-7bc8ae7b7c90"
id"chatcmpl-3a8ec55657c041a2bccea68bd9fecbe8"
is_byokfalse
latency878
model_permaslug"fireworks/ember-1-20260923"
provider_name"Fireworks"
status200
total_cost0.0207174
cache_discount0.0003996
upstream_inference_cost0
provider_name"Fireworks"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
99.98% Matches word count n/a
neededCleanfalse
words202
99.12% Dialogue to Total Word Ratio
Ratio: 93.07%, Deviation: 3.07%
neededCleanfalse
wordsTotal202
wordsDialogue188
99.5502%