Run: 2026-10-13-01M4TBJ0XHZ4SM9S311Y1APS08

Run Details

Duration:
22.9s
Cost:
$0.019757
Provider:
Fireworks

Evaluation summary

Score Evaluator
Details Link
99.74% Matches word count (details)
96.77% Dialogue to Total Word Ratio (details)
98.2547% 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
Molly spread the blueprint across the hood of the van. "Okay, Bill. Henderson kid's birthday, Saturday, two o'clock. Bounce house in the yard, clown by the cake table." "A clown? Molly, you know I can't do clowns." "Focus. We go in dressed as caterers." "What do caterers wear?" "Aprons, Bill. Just aprons." "Over our clothes, right?" "Obviously over our clothes. The presents will be stacked by the patio. I grab the big ones, you grab the small ones." "Why do I always get the small ones?" "Because last time you dropped a kayak off a balcony." "It was a canoe, and it was poorly wrapped." "Fine, you take medium gifts. Non-negotiable. And do not eat the cake." "Why would I eat the cake?" "Because at the museum job you ate the entire exhibit of historical cheeses." "That was research. What if a kid sees us?" "Tell him we're present inspectors." "That's not a real job." "Neither is robbing a six-year-old, yet here we are. Masks on at one-fifty." "Can my mask be a giraffe?" "It has to be, Bill. It's a giraffe-themed party." Bill sighed. "Best heist ever." "And if the clown talks to you, don't engage." "He'll engage me, Molly. They always do."
created_at"2026-10-13T10:05:02.782Z" 10/13/2026, 10:05:02 AM
model"fireworks/ember-1-20260923"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency576
moderation_latency(null)
generation_time22835
tokens_prompt75
tokens_completion1279
native_tokens_prompt149
native_tokens_completion1314
native_tokens_completion_images(null)
native_tokens_reasoning999
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)
usage0.0197574
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791885902-T2RrC9VhiQlD81cNxBL0"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791885902-VlXC2vEgI5LmvRH2ZHOB"
upstream_id"chatcmpl-e38f5d762b5040f2b2c3206430827f59"
provider_responses
0
endpoint_id"b89a2f05-4051-4446-a9b0-7bc8ae7b7c90"
id"chatcmpl-e38f5d762b5040f2b2c3206430827f59"
is_byokfalse
latency576
model_permaslug"fireworks/ember-1-20260923"
provider_name"Fireworks"
status200
total_cost0.0197574
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
99.74% Matches word count n/a
neededCleanfalse
words204
96.77% Dialogue to Total Word Ratio
Ratio: 94.26%, Deviation: 4.26%
neededCleanfalse
wordsTotal209
wordsDialogue197
98.2547%