Run: 2026-05-10-01KR9322GK7FFC3Q5XV4403WE7

Run Details

Duration:
2m 12s
Cost:
$0.000988
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
14.30% Matches word count (details)
90.45% Dialogue to Total Word Ratio (details)
52.3765% 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

AI
"The target is the Smith residence. Timing is absolutely critical," Molly stated, pointing at the map. "Wait, why on earth are we robbing a six-year-old?" Bill asked. "He's not just a kid; he's the heir to a global toy empire. The gifts are high-end prototypes." "High-end Legos? Who actually steals Legos?" "Collectors, Bill. Serious, adult collectors with deep pockets. Now, the distraction is a fake clown." "I'm not wearing the nose. Absolutely not." "You're wearing the nose. I'll be the magic balloon artist infiltrating the gift table while you juggle." "What about the security?" "A sleepy golden retriever and a very confused grandmother. We strike exactly during the cake cutting." "Will there be cake for us? I'm starving." "Focus! We move in at two, sweep the entire pile, and vanish before the piñata bursts." "If I see a piñata, I'm hitting it. I cannot resist the sugar." "Professionalism, Bill! For the love of all that is criminal, be professional." "Can I at least keep one small toy? Just a tiny one?" "No." "Fine. But I'm definitely keeping the nose."
created_at"2026-05-10T14:01:04.282Z" 5/10/2026, 2:01:04 PM
model"google/gemma-4-31b-it-20260402"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency355
moderation_latency(null)
generation_time131422
tokens_prompt77
tokens_completion2265
native_tokens_prompt82
native_tokens_completion2573
native_tokens_completion_images(null)
native_tokens_reasoning1984
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.0009884
router(null)
provider_responses
0
endpoint_id"29b94af5-d8f8-419a-9cf1-ae1f2831142b"
is_byokfalse
latency106
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"Venice"
status429
1
endpoint_id"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id"chatcmpl-RlKqRh5LEsojrdn1WsY6qhPd"
is_byokfalse
latency60
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778421664-oNKcKj5pMAtS1F0znTHY"
session_id(null)
api_type"completions"
id"gen-1778421664-hmwgpKAOuTqNgLA9CSbA"
upstream_id"chatcmpl-RlKqRh5LEsojrdn1WsY6qhPd"
total_cost0.0009884
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
14.30% Matches word count n/a
neededCleanfalse
words179
90.45% Dialogue to Total Word Ratio
Ratio: 95.63%, Deviation: 5.63%
neededCleanfalse
wordsTotal183
wordsDialogue175
52.3765%