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Run: 2026-10-13-01M4TB379XA6Z1BQEHBKKK0EW7
Run Details
Model:
Ember-1 (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
40.0s
Cost:
$0.035942
Provider:
Fireworks
Evaluation summary
Score
Evaluator
Details Link
98.71%
Matches word count
(details)
46.97%
Dialogue to Total Word Ratio
(details)
72.8403%
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 unrolled the blueprint across the van's hood, which was actually a coloring book page stolen from the target's mailbox. Bill squinted at the crayon rendering of a bouncy castle. They had cased the Hendersons' backyard for three weeks, which was embarrassing, since the backyard was visible from the street. Bill had disguised himself as a clown, then panicked upon remembering his fear of balloons. Molly had disguised herself as a magician, which mostly involved a cape and a wand she found in a gutter. The plan was elegant in its stupidity. Bill would distract the children with card tricks he did not know. Molly would smuggle the presents to the van in a pillowcase labeled "Santa's Leftovers," which she insisted added legitimacy. "Cake first, presents second," Molly said. "Agreed. Priorities," Bill replied, adjusting his foam nose. "What's the signal again?" "Jazz hands." The party started at two. They arrived at two-fifteen because Bill needed gas station nachos. A piñata shaped like a donkey swung ominously from the oak tree. "Why does that piñata look like my ex-wife?" Bill whispered. "Focus, Bill." He focused. The presents gleamed on the picnic table like a dragon's hoard, if dragons hoarded Lego sets and gift cards to slime shops.
created_at
"2026-10-13T09:56:57.799Z"
10/13/2026, 9:56:57 AM
model
"fireworks/ember-1-20260923"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
351
moderation_latency
(null)
generation_time
39956
tokens_prompt
75
tokens_completion
2118
native_tokens_prompt
149
native_tokens_completion
2393
native_tokens_completion_images
(null)
native_tokens_reasoning
2095
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
0.0359424
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791885417-xZJ1QZVZhK5OTqPTagRS"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791885417-Kv0OaFup4xiNZArLLnDE"
upstream_id
"chatcmpl-4d911de3d79647868cf6538002f5dab4"
provider_responses
0
endpoint_id
"b89a2f05-4051-4446-a9b0-7bc8ae7b7c90"
id
"chatcmpl-4d911de3d79647868cf6538002f5dab4"
is_byok
false
latency
351
model_permaslug
"fireworks/ember-1-20260923"
provider_name
"Fireworks"
status
200
total_cost
0.0359424
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
98.71%
Matches word count
n/a
neededClean
false
words
206
46.97%
Dialogue to Total Word Ratio
Ratio: 19.32%, Deviation: 9.32%
neededClean
false
wordsTotal
207
wordsDialogue
40
72.8403%