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Run: 2026-05-10-01KR8XP8DH062XVADK0QNR7AM9
Run Details
Model:
Gemma 4 31B (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
7m 56s
Cost:
$0.005278
Provider:
DeepInfra
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
100.0000%
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 map of the suburban backyard across the dusty old dashboard. "The cake is the distraction," Molly said. Bill scratched his stubbly chin and squinted at the drawing. "Why the cake?" "Children love frosting," Molly replied quickly. "We hit the table." "What about the clown?" Bill asked. Molly sighed deeply, staring at the ceiling of the car. "The clown is a professional, Bill. He stays by the balloons." Bill suggested dressing as a clown. "No," Molly snapped. "You cannot make one balloon animal." "I can make a dog," Bill argued. "It looked like a shriveled sausage," Molly said. Bill frowned, remembering his failure. "It was a small dachshund." "Just focus," Molly ordered him firmly. "We enter through the hedge and grab the Legos." "Is there a backup plan if the toddlers revolt today?" Bill asked. Molly glared at him with genuine concern for his sanity. "Toddlers do not revolt, Bill. They just cry." Bill muttered softly that the children were unpredictable and dangerous. Molly checked her watch and signaled for him to move. "Gear up. We move at two." "Do I get a piece of cake?" Bill asked with hope. "Absolutely not, you greedy man," Molly replied sharply.
created_at
"2026-05-10T12:27:14.234Z"
5/10/2026, 12:27:14 PM
model
"google/gemma-4-31b-it-20260402"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
383
moderation_latency
(null)
generation_time
475764
tokens_prompt
77
tokens_completion
10369
native_tokens_prompt
82
native_tokens_completion
13862
native_tokens_completion_images
(null)
native_tokens_reasoning
10072
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
0.00527822
router
(null)
provider_responses
0
endpoint_id
"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id
"chatcmpl-R0ENaAsDkpMIbPKObXPtr2mn"
is_byok
false
latency
62
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-1778416034-fdRMIB0rYfi79utn2rzs"
session_id
(null)
api_type
"completions"
id
"gen-1778416034-t2bHFR7c0vepzCj15OUb"
upstream_id
"chatcmpl-R0ENaAsDkpMIbPKObXPtr2mn"
total_cost
0.00527822
cache_discount
(null)
upstream_inference_cost
0
provider_name
"DeepInfra"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
200
100.00%
Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
100
100.0000%