NC Bench
Overview
About
Tests
Categories
Models
Vendors
Compare
Run: 2026-10-13-01M4TBHPBH0N1EM0S0WT8YRZT1
Run Details
Model:
Ember-1 (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
1m 14s
Cost:
$0.065402
Provider:
Fireworks
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.99%
Dialogue to Total Word Ratio
(details)
99.9933%
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
Messages
Meta
AI
"Okay," Molly said, unrolling the blueprint across the hood of the car. "Henderson kid's birthday. Saturday, two o'clock. Bouncy castle here, clown here, presents stacked on the picnic table." Bill squinted. "Entry point?" "Back fence. Mrs. Henderson leaves it open for the caterer." "There's a caterer?" "There is now. We're the caterer." "Do we know how to cater?" "You carry a tray and look disappointed. You've trained your whole life." Bill nodded slowly. "Getaway?" "Minivan. Nobody looks twice at a minivan leaving a kids' party." "Security?" "One clown. Goes by Mr. Giggles." "Armed?" "Balloon animals. But he's fast, Bill. Don't underestimate him." Bill rubbed his chin. "And the take?" "Forty presents, minimum. One's a bike." "A bike? Molly, we could retire." "Don't get greedy. Grab, go, don't look back." "What's in the boxes?" "Does it matter? Could be socks, could be a PlayStation." "Kids get socks?" "Rich kids get iPads, Bill." "What if the kids see us?" "Kids can't identify adults. To them we're all tall and tired." "What about the piƱata?" "Leave it. We have standards." "It's full of candy." "Bill. Standards." He sighed. "Feels wrong, robbing kids." "We robbed a petting zoo." "That goat had it coming."
created_at
"2026-10-13T10:04:51.963Z"
10/13/2026, 10:04:51 AM
model
"fireworks/ember-1-20260923"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
488
moderation_latency
(null)
generation_time
73989
tokens_prompt
75
tokens_completion
3751
native_tokens_prompt
149
native_tokens_completion
4357
native_tokens_completion_images
(null)
native_tokens_reasoning
3751
native_tokens_cached
148
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
"stop"
service_tier
(null)
usage
0.0654024
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791885891-xZIpjgFL2tkz1G72XhRJ"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791885891-sG5Wwaz6RjSnHRh17m1v"
upstream_id
"chatcmpl-edd21c1ed1a74510a5a3801e36ac1218"
provider_responses
0
endpoint_id
"b89a2f05-4051-4446-a9b0-7bc8ae7b7c90"
id
"chatcmpl-edd21c1ed1a74510a5a3801e36ac1218"
is_byok
false
latency
488
model_permaslug
"fireworks/ember-1-20260923"
provider_name
"Fireworks"
status
200
total_cost
0.0654024
cache_discount
0.0003996
upstream_inference_cost
0
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
100.00%
Matches word count
n/a
neededClean
false
words
199
99.99%
Dialogue to Total Word Ratio
Ratio: 88.94%, Deviation: 1.06%
neededClean
false
wordsTotal
199
wordsDialogue
177
99.9933%