Run: 2026-03-18-01KM07JN5PESJ3VRBWVRP9EDHN

Run Details

Duration:
24.6s
Cost:
$0.003089
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.86% Dialogue to Total Word Ratio (details)
99.9287% 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: “Tonight we steal every present like we’re allergic to joy.” Bill: “Joy is overrated. Also, I packed two pairs of socks—stolen socks.” Molly: “Disguise check. Your mustache says ‘mildly haunted librarian.’” Bill: “Your hoodie says ‘marshmallow fell into a craft store.’ Perfect.” Molly: “We enter during the group photo.” Bill: “Right. While the kids shout, we grab boxes and vanish.” Molly: “Do we take the tiny ones first?” Bill: “Yes. Small gifts are the stealthiest. They scream less.” Molly: “I heard the host’s mom is decorating with motion lights.” Bill: “Then we move like ninjas… with flash photography anxiety.” Molly: “No sticky hands this time.” Bill: “No frosting, no crumbs, no heroic cupcakes.” Molly: “If a child asks what we’re doing—” Bill: “We compliment their dinosaur helmet and pretend it’s a tour.” Molly: “Pretend we’re the birthday security.” Bill: “Exactly. ‘Please enjoy your loot responsibly.’” Molly: “What about the game prizes?” Bill: “We take only the ones labeled ‘for winners.’ Everyone here is a winner.” Molly: “On three?” Bill: “On three.” Molly: “One, two—” Bill: “—and on three, we become legends.” Molly: “And if we get caught?” Bill: “Then we blame the balloons. They’re too innocent for absolutely nothing.”
created_at"2026-03-18T10:24:04.803Z" 3/18/2026, 10:24:04 AM
model"openai/gpt-5.4-nano-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency24111
moderation_latency(null)
generation_time24407
tokens_prompt77
tokens_completion1446
native_tokens_prompt66
native_tokens_completion2461
native_tokens_completion_images0
native_tokens_reasoning2138
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"completed"
usage0.00308945
router(null)
provider_responses
0
endpoint_id"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id"resp_0ac01eaf9155fccc0169ba7d44dd348193a46adbbfc7df97ec"
is_byokfalse
latency182
model_permaslug"openai/gpt-5.4-nano-20260317"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773829444-AWRMim5PhjgXxudtHc3Z"
upstream_id"resp_0ac01eaf9155fccc0169ba7d44dd348193a46adbbfc7df97ec"
total_cost0.00308945
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words201
99.86% Dialogue to Total Word Ratio
Ratio: 88.06%, Deviation: 1.94%
neededCleanfalse
wordsTotal201
wordsDialogue177
99.9287%