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Run: 2026-10-13-01M4TBPXQSCQ0QY5HB618PXX5Q
Run Details
Model:
Ember-1 (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
1m 4s
Cost:
$0.061472
Provider:
Fireworks
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.53%
Dialogue to Total Word Ratio
(details)
99.7645%
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 spread the blueprints across the van's hood, weighing down the corners with a juice box and a stolen sandwich. "We go in as clowns," Molly said. Bill studied the diagram: a bouncy castle, a balloon arch, a rectangle labeled "gift table—target." "I can't juggle, Molly." "Then learn." She had drawn the plan in crayon, partly for camouflage, partly because she had stolen the crayons and hated waste. There were contingency arrows. One arrow pointed to a stick figure labeled "backup Bill," which regular Bill found insulting and, historically, fair. "This is a child's birthday party. For six-year-olds." Molly tapped the target. The intelligence was solid. Her source, a pigeon she fed near the playground, had confirmed twenty wrapped boxes, one large enough to be a bicycle. He had suggested, gently, that they might simply buy a present, and Molly had looked at him the way a shark looks at a vegetarian. Bill thought of his niece's upcoming birthday and felt almost noble. Molly thought of nothing and slept fine. At three, the cake would be cut. At three-oh-two, Bill, dressed as a giraffe, would fall into the hedge. At three-oh-four, Molly would strike. The pigeon would handle getaway.
created_at
"2026-10-13T10:07:43.364Z"
10/13/2026, 10:07:43 AM
model
"fireworks/ember-1-20260923"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
526
moderation_latency
(null)
generation_time
64277
tokens_prompt
75
tokens_completion
3775
native_tokens_prompt
149
native_tokens_completion
4095
native_tokens_completion_images
(null)
native_tokens_reasoning
3775
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
0.0614724
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791886063-E3gXD0snQmSt68m6yNud"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791886063-zg3o6darrh5TZpXOXthM"
upstream_id
"chatcmpl-07ff38675732423ba4a73042c7571eb0"
provider_responses
0
endpoint_id
"b89a2f05-4051-4446-a9b0-7bc8ae7b7c90"
id
"chatcmpl-07ff38675732423ba4a73042c7571eb0"
is_byok
false
latency
526
model_permaslug
"fireworks/ember-1-20260923"
provider_name
"Fireworks"
status
200
total_cost
0.0614724
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
99.53%
Dialogue to Total Word Ratio
Ratio: 12.62%, Deviation: 2.62%
neededClean
false
wordsTotal
206
wordsDialogue
26
99.7645%