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Run: 2026-10-13-01M4TBPBRE4YFP5Q94RWHXMXHN
Run Details
Model:
Ember-1 (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
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
Messages
Meta
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_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
878
moderation_latency
(null)
generation_time
21652
tokens_prompt
75
tokens_completion
1288
native_tokens_prompt
149
native_tokens_completion
1378
native_tokens_completion_images
(null)
native_tokens_reasoning
1063
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
0.0207174
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_byok
false
latency
878
model_permaslug
"fireworks/ember-1-20260923"
provider_name
"Fireworks"
status
200
total_cost
0.0207174
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
99.98%
Matches word count
n/a
neededClean
false
words
202
99.12%
Dialogue to Total Word Ratio
Ratio: 93.07%, Deviation: 3.07%
neededClean
false
wordsTotal
202
wordsDialogue
188
99.5502%