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Run: 2026-10-13-01M4TB8HB0FK7V668YNFWZ70XP
Run Details
Model:
Ember-1 (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
35.3s
Cost:
$0.031817
Provider:
Fireworks
Evaluation summary
Score
Evaluator
Details Link
97.63%
Matches word count
(details)
99.15%
Dialogue to Total Word Ratio
(details)
98.3866%
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
Messages
Meta
AI
The plan, Molly explained, was flawless. A child's birthday party was the softest target in the criminal underworld: no alarms, no guards, and security consisting entirely of a grandfather asleep in a deck chair. Bill studied the blueprint she'd drawn on a napkin, which showed the bouncy castle, the gift table, and a small figure labeled "clown distraction (you)." "Balloons," Molly whispered. "We go in as birthday clowns." "I can't juggle," Bill said. "You don't need to juggle. You need to look unemployable." Bill had concerns. Ethical ones, mostly. Stealing presents from children felt like a new low, and he'd once mugged a Santa. Molly waved this off. The presents, she argued, were mostly plastic junk and one suspiciously large box that definitely contained a trampoline. Think of it, she said, as redistribution. The kid was six. He didn't even pay taxes. The getaway was simple: out the back fence, past the piƱata, into a van painted with the words "Dave's Magical Parties." Bill would drive. Molly would carry the loot. The only real risk was the birthday boy's mother, a woman Molly described, with genuine fear in her eyes, as "organized." They synchronized watches. Somewhere inside, twenty children screamed with joy. Bill put on the wig.
created_at
"2026-10-13T09:59:51.916Z"
10/13/2026, 9:59:51 AM
model
"fireworks/ember-1-20260923"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1301
moderation_latency
(null)
generation_time
35253
tokens_prompt
75
tokens_completion
1742
native_tokens_prompt
149
native_tokens_completion
2118
native_tokens_completion_images
(null)
native_tokens_reasoning
1742
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
0.0318174
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791885591-Ab1RCxNr8OtcLhdw56w4"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791885591-BSTKUtwbTPmjiQcgeCkX"
upstream_id
"chatcmpl-e2c8993a743b40ffbf7f0c164d16e444"
provider_responses
0
endpoint_id
"b89a2f05-4051-4446-a9b0-7bc8ae7b7c90"
id
"chatcmpl-e2c8993a743b40ffbf7f0c164d16e444"
is_byok
false
latency
1301
model_permaslug
"fireworks/ember-1-20260923"
provider_name
"Fireworks"
status
200
total_cost
0.0318174
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
97.63%
Matches word count
n/a
neededClean
false
words
207
99.15%
Dialogue to Total Word Ratio
Ratio: 13.04%, Deviation: 3.04%
neededClean
false
wordsTotal
207
wordsDialogue
27
98.3866%