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Run: 2026-05-10-01KR8X7YFQWFKR9NVMD2TTDGJB
Run Details
Model:
Gemma 4 31B (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
5m 32s
Cost:
$0.003570
Provider:
DeepInfra
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.99%
Dialogue to Total Word Ratio
(details)
99.9960%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 unfolded the blueprint of the suburban living room with the gravity of a general planning an invasion. Bill chewed on a toothpick, staring intensely at the highlighted "Cake Zone." They were targeting the third birthday of a brat named Timmy, who had a penchant for expensive robotic dogs. The security was minimal. Just a distracted mother and a balloon animal artist, but the perimeter was treacherous. Sticky fingerprints and scattered LEGOs posed a significant risk to their tactical footwear. Molly pointed to the sliding glass door, noting the window of opportunity between the piƱata collapse and the nap-time transition. This was a gold mine of plushies. "Is the diversion ready?" Molly asked. "I have the glitter bombs and a loud whistle," Bill whispered. "Check the tricycle," she said. "It is very fast," he replied. They synchronized their watches, adjusting their oversized clown shoes for maximum stealth. Bill checked cargo hold, ensuring enough space for the loot. The stakes were high, the target was loud, and the frosting was inevitable. They moved toward the fence, two professionals descending upon a sea of glitter and screaming toddlers, determined to claim every wrapped box before birthday boy could blow out a candle.
created_at
"2026-05-10T12:19:25.313Z"
5/10/2026, 12:19:25 PM
model
"google/gemma-4-31b-it-20260402"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
196
moderation_latency
(null)
generation_time
331933
tokens_prompt
77
tokens_completion
6724
native_tokens_prompt
82
native_tokens_completion
9367
native_tokens_completion_images
(null)
native_tokens_reasoning
6405
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
0.00357012
router
(null)
provider_responses
0
endpoint_id
"29b94af5-d8f8-419a-9cf1-ae1f2831142b"
is_byok
false
latency
90
model_permaslug
"google/gemma-4-31b-it-20260402"
provider_name
"Venice"
status
429
1
endpoint_id
"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id
"chatcmpl-RxtGalwxLiL9EvvMStLdBdFq"
is_byok
false
latency
72
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-1778415565-hMnhK6VHEZDp6pyndKqN"
session_id
(null)
api_type
"completions"
id
"gen-1778415565-kHKrqSO2oDLihPkq8Bwc"
upstream_id
"chatcmpl-RxtGalwxLiL9EvvMStLdBdFq"
total_cost
0.00357012
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
99.99%
Dialogue to Total Word Ratio
Ratio: 10.95%, Deviation: 0.95%
neededClean
false
wordsTotal
201
wordsDialogue
22
99.9960%