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Run: 2026-05-10-01KR8WR830XJWXKZFATHPNWNTQ
Run Details
Model:
Gemma 4 31B
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
11.9s
Cost:
$0.000119
Provider:
DeepInfra
Evaluation summary
Score
Evaluator
Details Link
2.01%
Matches word count
(details)
36.79%
Dialogue to Total Word Ratio
(details)
19.3998%
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
"Listen, Bill, the perimeter is secured by a golden retriever with a bow on its head." "I can handle a dog, Molly." "It’s not the dog, it’s the sugar. These kids are on a cake-high. They’re unpredictable." "We just slip in, grab the pile of LEGO sets, and vanish." "And the costume? Tell me you’re wearing the costume." "I’m not wearing a giant penguin suit." "The theme is 'Arctic Adventure,' Bill! You’ll stand out like a sore thumb in a leather jacket." "I look professional." "You look like you’re here to repossess the bounce house. Now, do you have the distraction?" "The bubble machine?" "Exactly. I trigger the bubbles, the toddlers descend into chaos, and we swoop the presents." "What about the parents?" "They'll be in the kitchen arguing about organic juice boxes. We have a four-minute window." "And the prize?" "Twelve deluxe dollhouses and a remote-control drone." "Fine. I'll wear the flippers." "Good. And don't eat any shrimp cocktail." "Why?" "Because we need to be agile, Bill. Now, waddle your way to the van."
created_at
"2026-05-10T12:10:50.857Z"
5/10/2026, 12:10:50 PM
model
"google/gemma-4-31b-it-20260402"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
5534
moderation_latency
(null)
generation_time
11491
tokens_prompt
77
tokens_completion
295
native_tokens_prompt
79
native_tokens_completion
286
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
0.00011895
router
(null)
provider_responses
0
endpoint_id
"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id
"chatcmpl-R61vtfZTMbVJKejZfByc23A0"
is_byok
false
latency
97
model_permaslug
"google/gemma-4-31b-it-20260402"
provider_name
"DeepInfra"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1778415050-jTBtd9WDGVzuKAWzXv4r"
session_id
(null)
api_type
"completions"
id
"gen-1778415050-f6hwDgL2wX5ayYrFAMpz"
upstream_id
"chatcmpl-R61vtfZTMbVJKejZfByc23A0"
total_cost
0.00011895
cache_discount
(null)
upstream_inference_cost
0
provider_name
"DeepInfra"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
2.01%
Matches word count
n/a
neededClean
false
words
175
36.79%
Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededClean
false
wordsTotal
178
wordsDialogue
178
19.3998%