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Run: 2026-05-10-01KR8WTXPMT2DV7PVTZRX8VXE0
Run Details
Model:
Gemma 4 31B
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
10.4s
Cost:
$0.000117
Provider:
DeepInfra
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
36.79%
Dialogue to Total Word Ratio
(details)
18.3940%
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
"Are we really doing this, Molly?" "Yes, Bill. High-value targets, low-security perimeter." "They're six-year-olds!" "Exactly. They're easily distracted by cake and glitter." "And the dress code?" "The clown suits are non-negotiable." "I can't do a red nose, Molly. It clashes with my complexion." "You're a professional thief, not a runway model. Now, what's the extraction point?" "The bouncy castle?" "Too obvious. We slip out through the hedge maze during the piƱata chaos." "What if someone recognizes us?" "Bill, we are wearing oversized shoes and neon wigs. We are invisible." "I feel compromised." "Stop whining and hold the balloon animal. Is the getaway car ready?" "The minivan is idling, but I think I left the headlights on." "Amateur. Now, do you have the distraction?" "The bag of confetti?" "Exactly. On my signal, you launch the glitter bomb, I bag the LEGO sets, and we vanish before the first tantrum hits." "I hate children." "That's why we're stealing their toys, Bill. Now, smile. You're a clown."
created_at
"2026-05-10T12:12:18.523Z"
5/10/2026, 12:12:18 PM
model
"google/gemma-4-31b-it-20260402"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
755
moderation_latency
(null)
generation_time
10326
tokens_prompt
77
tokens_completion
289
native_tokens_prompt
79
native_tokens_completion
280
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
0.00011667
router
(null)
provider_responses
0
endpoint_id
"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id
"chatcmpl-R0uhG01ZLq10m5ICY2IXyJgQ"
is_byok
false
latency
59
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-1778415138-Xlk4WInUfvpnCrkNQslG"
session_id
(null)
api_type
"completions"
id
"gen-1778415138-sAsiNmBU5Zo8GyVKsjW5"
upstream_id
"chatcmpl-R0uhG01ZLq10m5ICY2IXyJgQ"
total_cost
0.00011667
cache_discount
(null)
upstream_inference_cost
0
provider_name
"DeepInfra"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Matches word count
n/a
neededClean
false
words
164
36.79%
Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededClean
false
wordsTotal
169
wordsDialogue
169
18.3940%