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Run: 2026-10-13-01M4TAKXNNV5FJ2CYY5N4JZPED
Run Details
Model:
Ember-1 (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
1m 50s
Cost:
$0.089657
Provider:
Fireworks
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
100.0000%
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 blueprint across the van's hood. Bill squinted at it, chewing a stolen candy cigarette. "We go in through the bouncy castle." Molly pinched the bridge of her nose and counted to ten. "That's a fabric death trap." "It's got a flap. Flaps are doors for fun people." "Fine. You distract. I grab presents." "What if a kid sees me?" "Then you juggle." "I can't juggle." "Learn in ten minutes. Timmy turns seven once." Bill nodded solemnly and produced three oranges from his jacket. "Always prepared." "Why do you have oranges?" "Snack and a skill. Efficiency." Molly rolled up the blueprint and checked her watch. "Big boxes first. Bikes, consoles, the bear." "What about the clown?" "Leave the clown." "He's staring at me." Through the fence, a clown stared at them, applying makeup with slow, menacing precision. "Ignore him." "Clowns are always part of the score, Molly." "That's not a rule." "It is now." Molly sighed and unzipped the duffel of disguises: two wizard hats, one mustache. "Get in the van, Bill." Bill saluted, fumbled an orange, and chased it behind the van. Inside the yard, children shrieked with joy while the presents sat glittering, unguarded, glorious, doomed.
created_at
"2026-10-13T09:48:36.418Z"
10/13/2026, 9:48:36 AM
model
"fireworks/ember-1-20260923"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
559
moderation_latency
(null)
generation_time
109645
tokens_prompt
75
tokens_completion
4769
native_tokens_prompt
149
native_tokens_completion
5974
native_tokens_completion_images
(null)
native_tokens_reasoning
4769
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
0.0896574
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791884916-UZo9LLGIWTJGr4dMwXz7"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791884916-QGgKaBlBGnG4alc9p5OP"
upstream_id
"chatcmpl-0be5188c76344987ba72cba46f336838"
provider_responses
0
endpoint_id
"b89a2f05-4051-4446-a9b0-7bc8ae7b7c90"
id
"chatcmpl-0be5188c76344987ba72cba46f336838"
is_byok
false
latency
559
model_permaslug
"fireworks/ember-1-20260923"
provider_name
"Fireworks"
status
200
total_cost
0.0896574
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
200
100.00%
Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
100
100.0000%