NC Bench
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Run: 2026-02-20-01KHY97FH6TF3BRFPTVDVFMJKG
Run Details
Model:
Gemma 3 4B
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
3.2s
Cost:
$0.000023
Provider:
DeepInfra
Evaluation summary
Score
Evaluator
Details Link
0.03%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
0.0152%
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
The rain hammered against the corrugated iron roof of the abandoned warehouse, a relentless, rhythmic drumming that did little to soothe Molly’s frayed nerves. Across the table, Bill meticulously sharpened a ridiculously ornate letter opener. It looked less like a tool and more like a tiny, silver dagger. "Are you *seriously* using that?" Molly asked, gesturing with a dismissive wave of her hand. Bill didn’t look up. “Precision, Molly. We need precision. A child's lock is surprisingly delicate. Besides," he added, finally meeting her gaze, a glint in his eye, “it’s rather fabulous.” She shuddered. "Fabulous doesn’t get us past thirty screaming toddlers and a bouncy castle. We’re after the presents, Bill, not an accessory." He examined the letter opener again, testing its point with a fingertip. "Sentimentality is a thief’s weakness. Think of the joy, Molly! We're redistributing wealth, frankly. Imagine the surprise on the parents’ faces when they discover the missing teddy bears.” Molly sighed, picking at a loose thread on her jacket. "Just...try not to stab anyone."
created_at
"2026-02-20T19:43:03.216Z"
2/20/2026, 7:43:03 PM
model
"google/gemma-3-4b-it"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
134
moderation_latency
(null)
generation_time
3034
tokens_prompt
93
tokens_completion
290
native_tokens_prompt
75
native_tokens_completion
254
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)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0.00002332
router
(null)
provider_responses
0
endpoint_id
"d3de3bd4-81bc-48fb-924f-2a87b2a36e75"
id
"chatcmpl-R17JtgnALOq1AgvH8OdBYDAq"
is_byok
false
latency
44
model_permaslug
"google/gemma-3-4b-it"
provider_name
"DeepInfra"
status
200
api_type
"completions"
id
"gen-1771616583-L2aUWFtXBK6Pxpti55Ls"
upstream_id
"chatcmpl-R17JtgnALOq1AgvH8OdBYDAq"
total_cost
0.00002332
cache_discount
(null)
upstream_inference_cost
0
provider_name
"DeepInfra"
Evaluation details
Result
Evaluator
Details
Meta Data
0.03%
Matches word count
n/a
neededClean
false
words
170
0.00%
Dialogue to Total Word Ratio
Ratio: 42.94%, Deviation: 32.94%
neededClean
false
wordsTotal
170
wordsDialogue
73
0.0152%