decisive-dory / evaluation /openrouter-comparison.json
rdaum's picture
Publish Decisive Dory comparisons and JevMan charts
3adea3f verified
Raw History Blame Contribute Delete
13.8 kB
{
"protocol": {
"endpoint": "https://openrouter.ai/api/alpha/decisions",
"models": [
"typesafe/jev-1.14",
"liquid/d1",
"perplexity/pplx-decider-v1.2",
"jaredpalmer/kev-4b"
],
"test_data_sha256": "e2ca7413a306fc2b0e9e044aa685c94d5aa8e0def7cfcec6448941b7369ae625",
"questions": 512,
"protocol": "One request per question. Identical state, question instructions, answer meanings, and option order; no reference targets sent. Native provider prompts and calibration remain provider-controlled. No prompt optimization or fitting.",
"concurrency": "Four models concurrently, one request at a time per model. HTTP latency includes network/provider overhead and is not local GPU compute latency.",
"probability_rounding": "Returned distributions within 0.02 of unit mass are renormalized before Brier scoring; raw API responses are retained. Argmax option order breaks probability ties.",
"cost_limit_usd": 1.0,
"date": "2026-10-21"
},
"models": {
"liquid/d1": {
"questions": 512,
"modal_accuracy": 0.662109375,
"brier": 0.4156228551936487,
"median_http_ms": 153.96152925677598,
"cost_usd": 0.0032266,
"renormalized_responses": 0,
"max_probability_sum_error": 4.440892098500626e-16,
"requested_model": "liquid/d1",
"served_models": [
"liquid/d1-20260930"
],
"by_source": {
"helpsteer2": {
"questions": 128,
"modal_accuracy": 0.5859375,
"brier": 0.31772152271267684,
"median_http_ms": 156.79931757040322,
"cost_usd": 0.00130398
},
"planning": {
"questions": 192,
"modal_accuracy": 0.7916666666666666,
"brier": 0.36154586401436944,
"median_http_ms": 160.43087700381875,
"cost_usd": 0.00111626
},
"scone": {
"questions": 192,
"modal_accuracy": 0.5833333333333334,
"brier": 0.5349674013602426,
"median_http_ms": 146.55435550957918,
"cost_usd": 0.00080636
}
},
"by_kind": {
"choice": {
"questions": 241,
"modal_accuracy": 0.6970954356846473,
"brier": 0.45294190031856313,
"median_http_ms": 153.44042284414172,
"cost_usd": 0.0013192
},
"noul": {
"questions": 94,
"modal_accuracy": 0.7127659574468085,
"brier": 0.36126946919251096,
"median_http_ms": 152.50918315723538,
"cost_usd": 0.00040766
},
"score": {
"questions": 177,
"modal_accuracy": 0.5875706214689266,
"brier": 0.39367555806936955,
"median_http_ms": 156.5550728701055,
"cost_usd": 0.00149974
}
}
},
"perplexity/pplx-decider-v1.2": {
"questions": 512,
"modal_accuracy": 0.74609375,
"brier": 0.3177875424868089,
"median_http_ms": 190.27893454767764,
"cost_usd": 0.00346588,
"renormalized_responses": 0,
"max_probability_sum_error": 4.440892098500626e-16,
"requested_model": "perplexity/pplx-decider-v1.2",
"served_models": [
"perplexity/pplx-decider-v1.2-20261016"
],
"by_source": {
"helpsteer2": {
"questions": 128,
"modal_accuracy": 0.5703125,
"brier": 0.2787386993739065,
"median_http_ms": 197.84710323438048,
"cost_usd": 0.00139706
},
"planning": {
"questions": 192,
"modal_accuracy": 0.8802083333333334,
"brier": 0.26224774345602686,
"median_http_ms": 189.46263939142227,
"cost_usd": 0.00119936
},
"scone": {
"questions": 192,
"modal_accuracy": 0.7291666666666666,
"brier": 0.3993599035928593,
"median_http_ms": 185.11412316001952,
"cost_usd": 0.00086946
}
},
"by_kind": {
"choice": {
"questions": 241,
"modal_accuracy": 0.8091286307053942,
"brier": 0.3446775651495988,
"median_http_ms": 189.45799581706524,
"cost_usd": 0.0014693
},
"noul": {
"questions": 94,
"modal_accuracy": 0.8191489361702128,
"brier": 0.24647724911756672,
"median_http_ms": 183.42466722242534,
"cost_usd": 0.00042356
},
"score": {
"questions": 177,
"modal_accuracy": 0.6214689265536724,
"brier": 0.3190455770346982,
"median_http_ms": 192.91105587035418,
"cost_usd": 0.00157302
}
}
},
"typesafe/jev-1.14": {
"questions": 512,
"modal_accuracy": 0.66015625,
"brier": 0.38428551299771707,
"median_http_ms": 160.70113889873028,
"cost_usd": 0.012567408,
"renormalized_responses": 6,
"max_probability_sum_error": 0.009999999999999898,
"requested_model": "typesafe/jev-1.14",
"served_models": [
"typesafe/jev-1.14-20261014"
],
"by_source": {
"helpsteer2": {
"questions": 128,
"modal_accuracy": 0.5546875,
"brier": 0.3501162689075094,
"median_http_ms": 161.725880112499,
"cost_usd": 0.00407988
},
"planning": {
"questions": 192,
"modal_accuracy": 0.7447916666666666,
"brier": 0.3210494803889059,
"median_http_ms": 162.16431255452335,
"cost_usd": 0.004622646
},
"scone": {
"questions": 192,
"modal_accuracy": 0.6458333333333334,
"brier": 0.4703010416666667,
"median_http_ms": 158.17508311010897,
"cost_usd": 0.003864882
}
},
"by_kind": {
"choice": {
"questions": 241,
"modal_accuracy": 0.6804979253112033,
"brier": 0.4145994016191929,
"median_http_ms": 159.9918780848384,
"cost_usd": 0.005741064
},
"noul": {
"questions": 94,
"modal_accuracy": 0.7446808510638298,
"brier": 0.2824255319148936,
"median_http_ms": 159.92187475785613,
"cost_usd": 0.001838382
},
"score": {
"questions": 177,
"modal_accuracy": 0.5875706214689266,
"brier": 0.3971058014949472,
"median_http_ms": 162.21308708190918,
"cost_usd": 0.004987962
}
}
},
"jaredpalmer/kev-4b": {
"questions": 512,
"modal_accuracy": 0.42578125,
"brier": 0.5133862273141486,
"median_http_ms": 374.62099245749414,
"cost_usd": 0.00583884,
"renormalized_responses": 166,
"max_probability_sum_error": 0.00019999999999997797,
"requested_model": "jaredpalmer/kev-4b",
"served_models": [
"jaredpalmer/kev-4b-20260924"
],
"by_source": {
"helpsteer2": {
"questions": 128,
"modal_accuracy": 0.578125,
"brier": 0.2507105103891895,
"median_http_ms": 391.88018697313964,
"cost_usd": 0.002482536
},
"planning": {
"questions": 192,
"modal_accuracy": 0.3645833333333333,
"brier": 0.5232131482077674,
"median_http_ms": 364.3412641249597,
"cost_usd": 0.00194796
},
"scone": {
"questions": 192,
"modal_accuracy": 0.3854166666666667,
"brier": 0.6786764510371691,
"median_http_ms": 369.4418070372194,
"cost_usd": 0.001408344
}
},
"by_kind": {
"choice": {
"questions": 241,
"modal_accuracy": 0.26556016597510373,
"brier": 0.648331459991458,
"median_http_ms": 369.08131977543235,
"cost_usd": 0.002369598
},
"noul": {
"questions": 94,
"modal_accuracy": 0.6170212765957447,
"brier": 0.4348702625531915,
"median_http_ms": 367.6399344112724,
"cost_usd": 0.000701316
},
"score": {
"questions": 177,
"modal_accuracy": 0.5423728813559322,
"brier": 0.37134498218589096,
"median_http_ms": 380.40076615288854,
"cost_usd": 0.002767926
}
}
}
},
"errors": {},
"total_cost_usd": 0.02509872800000002,
"local_results": {
"Decisive Dory \u2014 Q8_0 / llama.cpp": {
"questions": 512,
"modal_accuracy": 0.77734375,
"brier": 0.2599162990600157,
"median_request_ms": 109.77665497921407,
"mean_request_ms": 135.0687600670426,
"by_source": {
"helpsteer2": {
"questions": 128,
"modal_accuracy": 0.515625,
"brier": 0.23377195573417558,
"median_request_ms": 211.45723038353026,
"mean_request_ms": 208.28389131929725
},
"planning": {
"questions": 192,
"modal_accuracy": 0.96875,
"brier": 0.14051244957828152,
"median_request_ms": 112.26724414154887,
"mean_request_ms": 119.26124551003643
},
"scone": {
"questions": 192,
"modal_accuracy": 0.7604166666666666,
"brier": 0.3967497107589765,
"median_request_ms": 103.08765154331923,
"mean_request_ms": 102.06618712254567
}
},
"by_kind": {
"choice": {
"questions": 241,
"modal_accuracy": 0.8257261410788381,
"brier": 0.3344495604077365,
"median_request_ms": 110.2855778299272,
"mean_request_ms": 120.80057657659981
},
"noul": {
"questions": 94,
"modal_accuracy": 0.9680851063829787,
"brier": 0.07220308279158415,
"median_request_ms": 101.73197486437857,
"mean_request_ms": 97.29551964815944
},
"score": {
"questions": 177,
"modal_accuracy": 0.6101694915254238,
"brier": 0.2581226625878792,
"median_request_ms": 134.17465519160032,
"mean_request_ms": 174.55642571999024
}
},
"model_sha256": "bb36b8ed263ce633649ccfad9c6e1dc065e9c3d333624fc27028f496089a38b8",
"loops": 2,
"prompt_parity_questions": 512,
"command": [
"llama-server",
"--model",
"dory-decisions-Q8_0.gguf",
"--alias",
"dory-gguf-eval",
"--host",
"127.0.0.1",
"--port",
"18091",
"--ctx-size",
"4096",
"--parallel",
"1",
"--threads",
"4",
"--threads-batch",
"4",
"--batch-size",
"512",
"--ubatch-size",
"512",
"--fit",
"off",
"--gpu-layers",
"all",
"--no-warmup"
]
},
"Decisive Dory \u2014 NVFP4 / Eider": {
"questions": 512,
"modal_accuracy": 0.771484375,
"brier": 0.26463106057883456,
"cross_entropy": 1.075109941121327,
"mean_request_ms": 80.6613628164996,
"median_request_ms": 71.86161540448666,
"by_kind": {
"choice": {
"questions": 241,
"modal_accuracy": 0.8215767634854771,
"brier": 0.34044989428658823,
"cross_entropy": 1.1801933058267577,
"mean_request_ms": 75.06443578865827,
"median_request_ms": 72.3452023230493
},
"noul": {
"questions": 94,
"modal_accuracy": 0.9574468085106383,
"brier": 0.09152335422286362,
"cross_entropy": 0.2881069286288201,
"mean_request_ms": 67.15274397581022,
"median_request_ms": 67.46977800503373
},
"score": {
"questions": 177,
"modal_accuracy": 0.6045197740112994,
"brier": 0.2533304135386799,
"cross_entropy": 1.3499867336653204,
"mean_request_ms": 95.45610623307905,
"median_request_ms": 77.96838786453009
}
},
"by_source": {
"helpsteer2": {
"questions": 128,
"modal_accuracy": 0.5078125,
"brier": 0.22775570941129228,
"cross_entropy": 1.5323848707632575,
"mean_request_ms": 107.58943439577706,
"median_request_ms": 97.03774400986731
},
"planning": {
"questions": 192,
"modal_accuracy": 0.9635416666666666,
"brier": 0.155754142490034,
"cross_entropy": 0.834348251030471,
"mean_request_ms": 74.49704928634067,
"median_request_ms": 73.17394809797406
},
"scone": {
"questions": 192,
"modal_accuracy": 0.7552083333333334,
"brier": 0.3980915461126633,
"cross_entropy": 1.0110216781175627,
"mean_request_ms": 68.87362862714023,
"median_request_ms": 68.2264359202236
}
},
"model_sha256": "62bc20a6fbafaf157154650dfb4e9ec32a19d67e8e1f60ddcc3318fd37d6ccb4",
"loops": 2,
"calibrated": false,
"binary_sha256": "935335c9df451b4b9108d65fc46882abbfd7a0b6cb20b3ba76f4e8c42fa7ab0c",
"quantization_recipe": "NVIDIA Model Optimizer local_hessian",
"calibration_examples": 256
}
},
"scope": "512 test questions withheld from this fine-tune. Task families are represented in its training. Provider training overlap is unknown. This is not an official source benchmark or a general model ranking.",
"scoring": "Accuracy accepts any answer tied for highest target probability. Brier is the sum of squared differences between predicted and target probabilities, averaged over questions.",
"cost_scope": "Cost covers scored requests and calls made during the final resumed run. Earlier failed-response and diagnostic probe costs are excluded."
}