NC Bench
Overview
About
Tests
Categories
Models
Vendors
Compare
Run: 2026-10-13-01M4TB4HNZV0CPA19S4012BM31
Run Details
Model:
Ember-1 (Reasoning, Max)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
37.3s
Cost:
$0.033422
Provider:
Fireworks
Evaluation summary
Score
Evaluator
Details Link
99.38%
Matches word count
(details)
99.85%
Dialogue to Total Word Ratio
(details)
99.6148%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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
"Remind me," Bill whispered, crouched behind the hedge, "why we're robbing a six-year-old?" "Because Timothy's birthday haul includes a limited-edition Robo-Rex worth four hundred quid," Molly said, adjusting her clown wig. "Stop being sentimental." "I'm not sentimental. I'm concerned about the bouncy castle. That's a lot of witnesses." "They're children, Bill. Their testimony won't hold up in court." "Neither will we if Margaret catches us. She makes eye contact like a hawk." "That's why you're the balloon animal guy. Nobody suspects the balloon animal guy." "I can't make balloon animals." "Then improvise. Hand them a balloon, call it a snake." "That's a scam." "Welcome to our profession. Now, the presents are on the patio table, next to the cake. I grab the gifts, you create a distraction." "What kind of distraction?" "Pop a balloon. Chaos. Screaming. They'll think it's a game." "And the piñata?" "Leave it. We're not animals." Bill sighed. "You know, when I got into heists, I pictured banks. Casinos." "And I pictured a partner who didn't whine. We all make sacrifices. Wig on. Showtime." "Wait—what if Timothy cries?" Molly paused. "Then we leave him one present. The cheap one. Obviously." "Obviously."
created_at
"2026-10-13T09:57:41.196Z"
10/13/2026, 9:57:41 AM
model
"fireworks/ember-1-20260923"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1650
moderation_latency
(null)
generation_time
37290
tokens_prompt
75
tokens_completion
1875
native_tokens_prompt
149
native_tokens_completion
2225
native_tokens_completion_images
(null)
native_tokens_reasoning
1875
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
0.0334224
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791885461-Tn1D9on0cboibJnChZPV"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791885461-E0wCooXeqF6vU6NmpTLO"
upstream_id
"chatcmpl-259ab4bdadf84a86ac1633bc6ba0ba7a"
provider_responses
0
endpoint_id
"b89a2f05-4051-4446-a9b0-7bc8ae7b7c90"
id
"chatcmpl-259ab4bdadf84a86ac1633bc6ba0ba7a"
is_byok
false
latency
1650
model_permaslug
"fireworks/ember-1-20260923"
provider_name
"Fireworks"
status
200
total_cost
0.0334224
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
99.38%
Matches word count
n/a
neededClean
false
words
195
99.85%
Dialogue to Total Word Ratio
Ratio: 91.96%, Deviation: 1.96%
neededClean
false
wordsTotal
199
wordsDialogue
183
99.6148%