Run: 2026-10-13-01M4TB4HNZV0CPA19S4012BM31

Run Details

Duration:
37.3s
Cost:
$0.033422
Provider:
Fireworks

Evaluation summary

Score Evaluator
Details Link
99.38% Matches word count (details)
99.85% Dialogue to Total Word Ratio (details)
99.6148% 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
"Remind me," Bill whispered, crouched behind the hedge, "why we're robbing a six-year-old?" "Because Timothy's birthday haul includes a limited-edition Robo-Rex worth four hundred quid," Molly said, adjusting her clown wig. "Stop being sentimental." "I'm not sentimental. I'm concerned about the bouncy castle. That's a lot of witnesses." "They're children, Bill. Their testimony won't hold up in court." "Neither will we if Margaret catches us. She makes eye contact like a hawk." "That's why you're the balloon animal guy. Nobody suspects the balloon animal guy." "I can't make balloon animals." "Then improvise. Hand them a balloon, call it a snake." "That's a scam." "Welcome to our profession. Now, the presents are on the patio table, next to the cake. I grab the gifts, you create a distraction." "What kind of distraction?" "Pop a balloon. Chaos. Screaming. They'll think it's a game." "And the piñata?" "Leave it. We're not animals." Bill sighed. "You know, when I got into heists, I pictured banks. Casinos." "And I pictured a partner who didn't whine. We all make sacrifices. Wig on. Showtime." "Wait—what if Timothy cries?" Molly paused. "Then we leave him one present. The cheap one. Obviously." "Obviously."
created_at"2026-10-13T09:57:41.196Z" 10/13/2026, 9:57:41 AM
model"fireworks/ember-1-20260923"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1650
moderation_latency(null)
generation_time37290
tokens_prompt75
tokens_completion1875
native_tokens_prompt149
native_tokens_completion2225
native_tokens_completion_images(null)
native_tokens_reasoning1875
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)
usage0.0334224
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791885461-Tn1D9on0cboibJnChZPV"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791885461-E0wCooXeqF6vU6NmpTLO"
upstream_id"chatcmpl-259ab4bdadf84a86ac1633bc6ba0ba7a"
provider_responses
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endpoint_id"b89a2f05-4051-4446-a9b0-7bc8ae7b7c90"
id"chatcmpl-259ab4bdadf84a86ac1633bc6ba0ba7a"
is_byokfalse
latency1650
model_permaslug"fireworks/ember-1-20260923"
provider_name"Fireworks"
status200
total_cost0.0334224
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
99.38% Matches word count n/a
neededCleanfalse
words195
99.85% Dialogue to Total Word Ratio
Ratio: 91.96%, Deviation: 1.96%
neededCleanfalse
wordsTotal199
wordsDialogue183
99.6148%