Run: 2026-04-24-01KQ0135JEYFHG25E7WA22A5FP

Run Details

Duration:
29.5s
Cost:
$0.000520
Provider:
SiliconFlow

Evaluation summary

Score Evaluator
Details Link
99.74% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.8722% 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
Molly: Right, Bill. The birthday bash. presents galore. Operation Pilfer Presents. Bill: Molly, it's for little Timmy! He's seven! Molly: Precisely. Unsuspecting parents. Sugar-fueled chaos. The perfect cover. We blend. Bill: Blend? We look like... us! And the kids will scream! Molly: We come as entertainment. Clowns? Too obvious. Face painters? Patience isn't our strong suit. I've got it: balloon animals! Bill: Balloon animals? How does that help us grab the loot? Molly: Distraction, Bill! While I'm twisting a giraffe taller than you, you grab the loot. Fast, quiet. Slip it into these. Bill: These look like... giant candy canes? Molly: Disguise! We just waddle out! No one suspects the walking candy cane brigade. Bill: And the security? Timmy's Uncle Barry looks like he could bench press a car. Molly: He'll be too busy eating cake and judging my poodle balloon. Focus, Bill. Timing is everything. We strike when the piƱata explodes. Total pandemonium. Bill: Okay... balloon animals, candy cane bags... Uncle Barry... pandemonium... Got it. Just tell me again: why are we stealing from a seven-year-old? Molly: Because the presents are brand new, Bill! Untraceable! And it's hilarious. Now, practice your waddle. Smooth and sneaky.
created_at"2026-04-24T15:17:51.324Z" 4/24/2026, 3:17:51 PM
model"z-ai/glm-4.5-air"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency6967
moderation_latency(null)
generation_time29278
tokens_prompt77
tokens_completion653
native_tokens_prompt66
native_tokens_completion594
native_tokens_completion_images(null)
native_tokens_reasoning276
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"
usage0.00052008
router(null)
provider_responses
0
endpoint_id"90fc9bb3-01bb-419f-bb58-dea60a80d201"
is_byokfalse
latency121
model_permaslug"z-ai/glm-4.5-air"
provider_name"Novita"
status429
1
endpoint_id"f7dc79ca-bbbd-41a1-8eef-616d981ff1cb"
id"019dc0119e04078058470bcb7b76b453"
is_byokfalse
latency6949
model_permaslug"z-ai/glm-4.5-air"
provider_name"SiliconFlow"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777043871-dBolofP3etOPjf8DgIce"
session_id(null)
api_type"completions"
id"gen-1777043871-G9ntuaU08v0LDLknPqXI"
upstream_id"019dc0119e04078058470bcb7b76b453"
total_cost0.00052008
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.74% Matches word count n/a
neededCleanfalse
words196
0.00% Dialogue to Total Word Ratio
Ratio: 0.00%, Deviation: 90.00%
neededCleanfalse
wordsTotal199
wordsDialogue0
49.8722%