Run: 2026-02-17-01KHNEWZ3EAAKP78X47KHB2GZB

Run Details

Duration:
1m 18s
Cost:
$0.011198
Provider:
SiliconFlow

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% 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

AI
The moon hung low over the suburban cul‑de‑sac, casting a milky glow on the inflated bouncy castle. Molly wiped a smear of lipstick from her cheek and consulted the crumpled blueprint Bill had drawn on the back of a pizza receipt. The plan was absurdly simple: infiltrate the annual birthday blowout for little Timmy, swipe every shiny wrapped box, and vanish before the piñata even cracked. Bill adjusted his fake moustache and whispered his final adjustments, already picturing the children’s bewildered faces. The kitchen smelled of frosting and cheap pop, and a dozen parents hovered near the snack table, oblivious to the two shadows circling the loot. Molly crouched behind a balloon arch, her heart hammering like a tiny drum. Bill signaled with a nod, and they slipped through the back door, their shoes squeaking on the linoleum. The plan hinged on speed, coordination, and a believable alibi: a clown‑themed entertainer and his unsuspecting assistant. They rehearsed their roles with the seriousness of veteran actors, whispering jokes about sugar crashes and the inevitable tantrum when the cake disappears in silence. "We pose as clowns, steal gifts, exit before the cake." "I'll juggle, distract parents, you grab the loot quickly now."
created_at"2026-02-17T09:30:18.862077+00:00" 2/17/2026, 9:30:18 AM
model"minimax/minimax-m2.5-20260211"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1420
moderation_latency(null)
generation_time77775
tokens_prompt77
tokens_completion10195
native_tokens_prompt98
native_tokens_completion9307
native_tokens_completion_images(null)
native_tokens_reasoning9052
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0111978
router(null)
provider_responses
0
id"019c6aee806ee3165a3f91dae3e5cb9c"
status200
is_byokfalse
latency1420
endpoint_id"e89b11ef-ca0e-4cc1-9333-69343ec25819"
provider_name"SiliconFlow"
model_permaslug"minimax/minimax-m2.5-20260211"
api_type"completions"
id"gen-1771320540-WSLVHAsEAEWpHG6Ocbfa"
upstream_id"019c6aee806ee3165a3f91dae3e5cb9c"
total_cost0.0111978
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 10.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue20
100.0000%