Hindsight Models

Our decision, embedding and reranking models on public industry benchmarks and on memories Hindsight wrote, next to the models people use today.

Decision modelEmbedding modelReranker
Decision model
hs-decide-1-flash
Model card
Fast yes/no, pick-one and score answers with a probability for every option.
  • Parameters: 0.8B
  • Context: 65,536 tokens
  • Languages: 8
  • Serves on: vLLM
RecallPage refreshConsolidationReflectGeneral decisionsServing on CPU
ModelOverall meanLoCoMo LongMemEval Wikipedia revisions Refreshes skipped New facts caught Dialogue NLI SQuAD 2.0 and HotpotQA Decision Index Judge 50 memories sOne decision msThroughput /s
hs-decide-1-flash
Hindsight · 0.8B
75.6
93.0
97.5
79.5
89.4
71.4
75.8
61.8
36.1
67.31,900.60.75
S
StartLux-Decision 0.8B Instant
StartLux · 0.8B
74.5
91.5
100.0
68.5
45.0
87.7
83.0
66.8
53.8
1,781.42,014.60.029
v
d3-lite
vLLM Semantic Router · 0.8B
73.4
83.0
100.0
72.0
47.2
92.3
88.0
67.8
36.9
1,1061,096.60.046
M
decider-0.8b
Mapika · 0.8B
66.6
7 of 8 measured
94.0
97.5
56.0
78.3
37.7
51.7
50.7
—1,583.91,955.90.031

Quality vs. speed across 3 models

Top left is best value. Hover a point for details.

Best value72%74%76%78%100 s200 s500 s1000 s2000 sJudge 50 memories s (log scale) →Overall mean →Svhs-decide-1-flashStartLux-Decision 0.8B Instantd3-lite
Model, as its provider’s logoBest value: no other model is both faster and better

Speed from the Judge 50 memories column, on CPU. 1 model not measured on every column is left out.

Benchmarks

Scores are shown 0 to 100, higher is better; speed and input size as measured, with lower latency better. A shaded, outlined cell is the best in its column: blue when it is ours. Overall is the mean over the score columns.