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Run: 2026-10-13-01M4TARGRYH7G872YN8JC1EF7C
Run Details
Model:
Ember-1 (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
1m 29s
Cost:
$0.081327
Provider:
Fireworks
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
99.9992%
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
Molly crouched behind the hedge, binoculars trained on the bouncy castle. Bill crouched beside her, mostly because she had grabbed his collar and pulled him down. "That's the target," she whispered. The target was a seven-year-old's birthday party. Twenty-two presents sat heaped on a picnic table, guarded by a clown making balloon animals with unnerving speed. Bill had packed for the job the way he packed for everything: badly. His duffel bag contained rope, a grappling hook, three smoke bombs, and, for reasons he could not explain, a tub of coleslaw. Molly's plan was simpler. Wait for the piñata. When the children swarmed it, blinded by sugar and swinging bats, the thieves would slip in, sweep the table into a garbage bag, and vanish through the rose garden. "What if the clown sees us?" Bill asked. Molly watched the clown produce a balloon giraffe from thin air and sheer menace. "Then we run," she said, "and we do not stop until Canada." The piñata, shaped like a cheerful donkey, swayed in the afternoon breeze, unaware it was the fulcrum of the greatest heist of Molly's career. Bill opened the coleslaw and ate it with his hands. Nerves made him hungry.
created_at
"2026-10-13T09:51:07.048Z"
10/13/2026, 9:51:07 AM
model
"fireworks/ember-1-20260923"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
532
moderation_latency
(null)
generation_time
89140
tokens_prompt
75
tokens_completion
4432
native_tokens_prompt
149
native_tokens_completion
5392
native_tokens_completion_images
(null)
native_tokens_reasoning
4432
native_tokens_cached
0
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
0.081327
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791885067-vGI1uTdD0tyVS2Q3M6aQ"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791885067-BIzMUSbuHm9ACngAfT7D"
upstream_id
"chatcmpl-0d1222c9e1e84bdc8f083c64c4eaf35a"
provider_responses
0
endpoint_id
"b89a2f05-4051-4446-a9b0-7bc8ae7b7c90"
id
"chatcmpl-0d1222c9e1e84bdc8f083c64c4eaf35a"
is_byok
false
latency
532
model_permaslug
"fireworks/ember-1-20260923"
provider_name
"Fireworks"
status
200
total_cost
0.081327
cache_discount
(null)
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
200
100.00%
Dialogue to Total Word Ratio
Ratio: 9.36%, Deviation: 0.64%
neededClean
false
wordsTotal
203
wordsDialogue
19
99.9992%