Run: 2026-04-27-01KQ79ERZS4W099H2BA9B576BS

Run Details

Duration:
3.8s
Cost:
$0.001156
Provider:
Alibaba

Evaluation summary

Score Evaluator
Details Link
Pass Matches text (details)
Pass Matches Regex (details)
no eval Overall

Model input

User/Human
What is the title of the highest-rated movie? Only return the movie title, preserving its original capitalization. Movie Ratings: - The Shawshank Redemption (1994): 9.3/10 - The Godfather (1972): 9.2/10 - 12 Angry Men (1957): 8.9/10 - Schindler's List (1993): 9.0/10 - The Lord of the Rings: The Return of the King (2003): 9.0/10

Model response

AI
The Shawshank Redemption
created_at"2026-04-27T10:58:41.281Z" 4/27/2026, 10:58:41 AM
model"qwen/qwen3.6-flash"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency612
moderation_latency(null)
generation_time3635
tokens_prompt88
tokens_completion685
native_tokens_prompt140
native_tokens_completion747
native_tokens_completion_images(null)
native_tokens_reasoning737
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"
usage0.0011555
router(null)
provider_responses
0
endpoint_id"2435bec9-c808-4f27-9fc8-12f3460d7b66"
id"chatcmpl-a0c7adea-7ab6-9b3c-b408-f7874e0b3daf"
is_byokfalse
latency612
model_permaslug"qwen/qwen3.6-flash"
provider_name"Alibaba"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777287521-dklPp3H5UDkcMogdwEKy"
session_id(null)
api_type"completions"
id"gen-1777287521-3XM2X6HTFRmVV4kVBlSN"
upstream_id"chatcmpl-a0c7adea-7ab6-9b3c-b408-f7874e0b3daf"
total_cost0.0011555
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
Pass Matches text
Case sensitive: The Shawshank Redemption
n/a
Pass Matches Regex
/\bThe Shawshank Redemption\b/
n/a
no eval