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Run: 2026-10-13-01M4TBZWSWN2HXYMFFRE1F8ZZ3
Run Details
Model:
Ember-1 (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
1m 47s
Cost:
$0.094532
Provider:
Fireworks
Evaluation summary
Score
Evaluator
Details Link
99.98%
Matches word count
(details)
99.95%
Dialogue to Total Word Ratio
(details)
99.9686%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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 spread the blueprints across the hood of the getaway car, which was, regrettably, a minivan with a sticky steering wheel and a child seat in the back. "The Henderson kid's party. Saturday. Presents by the bouncy castle." "We're gonna be rich." Bill's eyes shone with the light of a man who had never once read a room. "We're stealing Pokémon cards and a scooter, Bill." "And the scooter," he whispered, reverent. Molly pinched the bridge of her nose, a gesture she performed roughly forty times per job. "You go in as a clown. Distract the kids with balloon animals." "I can't make balloon animals." "You had six weeks." "I made one thing. It's a dog or a snake. The kids cried." Bill considered this with the gravity of a philosopher. "What if they fight?" "They're seven." "Seven-year-olds travel in packs. Like sticky wolves." Bill nodded solemnly and adjusted the foam nose he was already wearing. "Out before the cake, then." "Can we take cake?" Molly folded the blueprints into her jacket as a kazoo sounded ominously from somewhere. "One slice. Cry during 'Happy Birthday' again and you're walking home." "It was a beautiful song," Bill said, saluting with a juice box.
created_at
"2026-10-13T10:12:37.319Z"
10/13/2026, 10:12:37 AM
model
"fireworks/ember-1-20260923"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
898
moderation_latency
(null)
generation_time
106646
tokens_prompt
75
tokens_completion
5036
native_tokens_prompt
149
native_tokens_completion
6299
native_tokens_completion_images
(null)
native_tokens_reasoning
5036
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
0.0945324
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791886357-OpxRcU7Wh2yILwApJuwb"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791886357-Xkb9j1YjT7yDvbxOXm6P"
upstream_id
"chatcmpl-ad322204485b474bb8dc8de26d6956b4"
provider_responses
0
endpoint_id
"b89a2f05-4051-4446-a9b0-7bc8ae7b7c90"
id
"chatcmpl-ad322204485b474bb8dc8de26d6956b4"
is_byok
false
latency
898
model_permaslug
"fireworks/ember-1-20260923"
provider_name
"Fireworks"
status
200
total_cost
0.0945324
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
99.95%
Dialogue to Total Word Ratio
Ratio: 48.53%, Deviation: 1.47%
neededClean
false
wordsTotal
204
wordsDialogue
99
99.9686%