NC Bench
Overview
About
Tests
Categories
Models
Vendors
Compare
Run: 2026-05-10-01KR90D26VPTWQTR32V61KYX4B
Run Details
Model:
Gemma 4 31B
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
19.5s
Cost:
$0.000158
Provider:
Together
Evaluation summary
Score
Evaluator
Details Link
20.19%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
10.0948%
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 crayon-drawn blueprint across the table. "Listen, Bill, the target is the bounce house." "Why the bounce house?" Bill asked, scratching his chin. "That's where the parents stash the high-value loot," she whispered. "The Lego sets, the remote cars, the whole lot." Bill frowned. "What about the security?" "A six-year-old named Timmy. He’s a loose cannon," Molly warned. "I can handle a first grader," Bill scoffed. "You're wearing a tuxedo, you idiot!" she shouted. "You'll stick out like a sore thumb among the toddlers." Bill looked down at his lapels. "I wanted to look sharp for the heist." "Dress like a clown or a giant panda, or we're dead," she insisted. "Can I be a panda?" he asked hopefully. "Fine, but no snacking on the bamboo decorations," Molly snapped. "Now, we hit the cake table first to create a diversion." "Frosting everywhere?" Bill grinned. "Pure chaos," Molly agreed. "Once the kids start screaming, we swoop in, grab the presents, and vanish through the hedge." "Do we get any cake?" Bill wondered. "Focus, Bill! This is a professional operation!"
created_at
"2026-05-10T13:14:38.69Z"
5/10/2026, 1:14:38 PM
model
"google/gemma-4-31b-it-20260402"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
256
moderation_latency
(null)
generation_time
19497
tokens_prompt
77
tokens_completion
298
native_tokens_prompt
79
native_tokens_completion
285
native_tokens_completion_images
(null)
native_tokens_reasoning
0
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
0.0001583
router
(null)
provider_responses
0
endpoint_id
"576fca5b-f09c-4bda-b560-9989c39ac3ab"
id
"oiXncUd-zfFMX-9f993547f644e66c"
is_byok
false
latency
256
model_permaslug
"google/gemma-4-31b-it-20260402"
provider_name
"Together"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1778418878-q06JY1QsGsfQ9unmTjBx"
session_id
(null)
api_type
"completions"
id
"gen-1778418878-5kXwG6suj1SCBR51Vs2h"
upstream_id
"oiXncUd-zfFMX-9f993547f644e66c"
total_cost
0.0001583
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Together"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
20.19%
Matches word count
n/a
neededClean
false
words
180
0.00%
Dialogue to Total Word Ratio
Ratio: 76.63%, Deviation: 26.63%
neededClean
false
wordsTotal
184
wordsDialogue
141
10.0948%