Run: 2026-05-10-01KR8YTDMXHFBHF3VH5FH76B1V

Run Details

Duration:
3m 49s
Cost:
$0.002109
Provider:
DeepInfra

Evaluation summary

Score Evaluator
Details Link
75.16% Matches word count (details)
96.99% Dialogue to Total Word Ratio (details)
86.0746% 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 pointed to the map. "Alright, the cake is the primary distraction." "Wait, we're really stealing from six-year-olds?" Bill asked. "Low risk, high reward, Bill. Those discontinued Lego sets are gold on the secondary market." "What about the clowns?" "I've mapped the clown's rotation. He’s occupied with balloon animals from 2 to 3. That's our tactical window." "And the juice boxes? Should we secure the refreshments?" "Ignore the juice. We hit the gift table, bag the toys, and exit through the dog door." Bill frowned. "I'm far too large for a dog door, Molly." "Then suck it in. Do you want the limited edition dinosaur or not?" "Is it the T-Rex with the laser eyes?" "Exactly. Now, focus." "I'm in. What's the signal?" "The moment the birthday boy starts crying, we move." "That's cold. I love it." "Now, check your disguise." "Is this tutu too much? I feel like it's a bit loud." "It's a themed children's party, Bill. You have to blend in." "I just think the sequins are distracting." Molly sighed. "The sequins are the perfect camouflage. Now, grab the burlap sacks and let's go."
created_at"2026-05-10T12:46:59.239Z" 5/10/2026, 12:46:59 PM
model"google/gemma-4-31b-it-20260402"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency153
moderation_latency(null)
generation_time229150
tokens_prompt77
tokens_completion4037
native_tokens_prompt82
native_tokens_completion5522
native_tokens_completion_images(null)
native_tokens_reasoning3731
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)
usage0.00210902
router(null)
provider_responses
0
endpoint_id"4149ab03-3b69-45a0-b94c-6c253b8641a1"
id"chatcmpl-RhYIHFuZVTFzy9LgpxyybIaA"
is_byokfalse
latency52
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-1778417219-Q1TTJOlcQZL3EcSQs3Bu"
session_id(null)
api_type"completions"
id"gen-1778417219-i2SRSebygsx3UbadUpNB"
upstream_id"chatcmpl-RhYIHFuZVTFzy9LgpxyybIaA"
total_cost0.00210902
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
75.16% Matches word count n/a
neededCleanfalse
words187
96.99% Dialogue to Total Word Ratio
Ratio: 94.18%, Deviation: 4.18%
neededCleanfalse
wordsTotal189
wordsDialogue178
86.0746%