eval-harness

arm

db_glm_s_n200_v1

One config on dbpedia_280, scored one way; its repeats averaged per item.

dataset
dbpedia_280
scored against
gold/dbpedia_280 gold
goal
Encyclopedia topic classification (DBpedia)
runs
1
headline
correct 0.939
last run
2026-09-27 15:09

Inspect itAgainst the baselineWith the 29 arms scored the same way

01metrics

metricmeanitemsbetter
correct0.939280higher
answer_words0.996280neutral
correct_after_repair0.000280neutral
cost_usd$0.000018280lower
fmt_markdown0.000280neutral
fmt_verbose0.000280neutral
latency_ms1183.0280lower
parsed0.996280higher
reasoning_tokens0.000279neutral
tokens_in144.2280lower
tokens_out2.432280lower
truncated0.000280neutral

02cost and speed

cost per item
$0.000018 · 147 tok
speed per item
p50 1,080 · p95 1,606 ms

Per item, over its items: cost as dollars and tokens (a local model is free but still uses tokens), speed as the median and the slow tail (p95). A goal that names this arm weighs them in its decision.

03runs

runmadeitemscosthow
db_glm_s_n200_v1_20260927T150359Z2026-09-27 15:09280$0.005173measured

04config

config db_glm_s_n200_v1 · adapter examples/classification-dbpedia-14/adapter.py · credentials are never shown

family
glm
max_tokens
200
model
eval-glm-45-air
price_tier
small
prompt_file
prompt.txt
provider
litellm
reasoning
{"enabled": false}
temperature
0.0
usd_per_mtok_in
0.06
usd_per_mtok_out
0.22

05conditions

data.items_sha256
a7419dc6a5876490c3ed1f96eae9398969a2f8b794e744d45ace5790bc0146f2
deployment.model
eval-glm-45-air
deployment.source
adapter
deployment.upstream
openrouter/z-ai/glm-4.5-air
fingerprint.version
5
library.openai
3.19.2
machine.cpu_count
12
machine.label
mac-dev
machine.platform
Darwin/x86_64
machine.processor
i386
machine.python
3.11.8
machine.release
24.6.0
reference.sha256
e0564fe65fb011e37717e037a6ad662f44e796b7d7de8e62ed2344ba56fa7a8a
scorer.id
examples/classification-dbpedia-14/adapter.py
scorer.sha256
58b55c964f8bb40746c359621beb25bfd0a071fca079961bdf15be1e7c0a77a8

06rounds