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Run: 2026-10-13-01M4TP79FNC5A6KGDGDYJ9P9PP
Run Details
Model:
Ember-1 (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
55.1s
Cost:
$0.062682
Provider:
Fireworks
Evaluation summary
Score
Evaluator
Details Link
99.92%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
99.9580%
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 hood of their getaway Honda, which doubled as their regular Honda. "The bouncy castle is our entry point. Kids' attention spans are forty seconds, tops." Bill squinted at the crayon arrows. "What's this arrow labeled 'clown variable'?" "Unpredictable element. Clowns improvise. We can't control that." "Should we wear disguises?" "Obviously. You're the magician. I'm the face painter." Molly tapped the diagram where she'd drawn a stick figure drowning in gift wrap. "Presents go in the sack labeled 'donations.' Nobody questions donations." Bill nodded slowly, the way he did when he understood roughly half of a plan. "And the cake?" "Cake is not the objective, Bill." "But it's right there." "Cake. Is not. The objective." A balloon popped somewhere in the distance, and both of them dropped to the pavement. Molly peeked over the bumper. A toddler waved at them. Molly waved back. "That's called reconnaissance." "Felt like flinching." "Professional flinching." She folded the blueprint into a neat paper crane; she'd read that criminals with flair got lighter sentences. "Synchronize watches. The piƱata drops at two. That's our window." "What if the kids fight back?" Molly sighed, surrounded by amateurs. "Then we negotiate, Bill. We're thieves, not monsters."
created_at
"2026-10-13T13:11:25.584Z"
10/13/2026, 1:11:25 PM
model
"fireworks/ember-1-20260923"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
848
moderation_latency
(null)
generation_time
54857
tokens_prompt
75
tokens_completion
3630
native_tokens_prompt
149
native_tokens_completion
4149
native_tokens_completion_images
(null)
native_tokens_reasoning
3630
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
0.062682
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791897085-RwX024wGqcEy3Emvd7DE"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791897085-2fWrbh2VpP4Lhlt8KSxV"
upstream_id
"chatcmpl-12c041d6cdd045c9a705529a6c386d63"
provider_responses
0
endpoint_id
"b89a2f05-4051-4446-a9b0-7bc8ae7b7c90"
id
"chatcmpl-12c041d6cdd045c9a705529a6c386d63"
is_byok
false
latency
848
model_permaslug
"fireworks/ember-1-20260923"
provider_name
"Fireworks"
status
200
total_cost
0.062682
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
99.92%
Matches word count
n/a
neededClean
false
words
203
100.00%
Dialogue to Total Word Ratio
Ratio: 49.26%, Deviation: 0.74%
neededClean
false
wordsTotal
203
wordsDialogue
100
99.9580%