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Run: 2026-05-10-01KR90ES2XFC5FXWTSW0JX9KBC
Run Details
Model:
Gemma 4 31B (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
45.7s
Cost:
$0.001786
Provider:
Venice
Evaluation summary
Score
Evaluator
Details Link
98.71%
Matches word count
(details)
66.67%
Dialogue to Total Word Ratio
(details)
82.6891%
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
Molly checked her watch. "Ready, Bill?" "Do I really have to wear the clown suit, Molly?" "Yes. It's the perfect cover." "I'm a professional getaway driver, not a balloon animal specialist." "Just hold the bag and look whimsical." "Whimsical? I look like a neon nightmare." "Quiet. The target is the living room. Three-year-olds. High chaos, low security." "What about the parents?" "They'll be distracted by the cake. Once the sugar rush hits and the screaming starts, we strike." "And the presents?" "Piled by the sofa. We scoop, we sprint, we vanish." "What if a kid grabs my leg? They're like little piranhas." "Kick them. Gently." "Gently?" "We're thieves, Bill, not monsters." "Right. Do I still get a cut of the LEGO sets? Specifically the Star Wars ones?" "If you don't pop a balloon with your nose, yes." "My nose is sensitive to latex." "Tough. Now, do you have the diversion?" "A bag of glitter and a very loud whistle." "Perfect. On my signal, you create the glitter-storm." "I feel dirty doing this." "You're wearing a polka-dot jumpsuit. You're already dirty." "Do we have a backup plan?" "Yes. We run." "Get in the car, Bozo."
created_at
"2026-05-10T13:15:34.885Z"
5/10/2026, 1:15:34 PM
model
"google/gemma-4-31b-it-20260402"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
495
moderation_latency
(null)
generation_time
45518
tokens_prompt
77
tokens_completion
3165
native_tokens_prompt
82
native_tokens_completion
3543
native_tokens_completion_images
(null)
native_tokens_reasoning
2861
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
0.00178585
router
(null)
provider_responses
0
endpoint_id
"29b94af5-d8f8-419a-9cf1-ae1f2831142b"
id
"chatcmpl-b6a300f98eeabe81"
is_byok
false
latency
487
model_permaslug
"google/gemma-4-31b-it-20260402"
provider_name
"Venice"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1778418934-x7Q3qezWVsi0baMvCeDp"
session_id
(null)
api_type
"completions"
id
"gen-1778418934-NjDM6dAu3xAHr8MFhNBQ"
upstream_id
"chatcmpl-b6a300f98eeabe81"
total_cost
0.00178585
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Venice"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
98.71%
Matches word count
n/a
neededClean
false
words
194
66.67%
Dialogue to Total Word Ratio
Ratio: 97.98%, Deviation: 7.98%
neededClean
false
wordsTotal
198
wordsDialogue
194
82.6891%