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Add dalpha-llm-router submission #228

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12 changes: 12 additions & 0 deletions model_cost/model_cost.json
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Original file line number Diff line number Diff line change
Expand Up @@ -386,5 +386,17 @@
"google/gemma-4-31b-it": {
"input_token_price_per_million": 0.08,
"output_token_price_per_million": 0.35
},
"gemini-3.8-flash": {
"input_token_price_per_million": 0.75,
"output_token_price_per_million": 3.75
},
"gpt-6-luna": {
"input_token_price_per_million": 0.1,
"output_token_price_per_million": 0.5
},
"anthropic/claude-haiku-5.5": {
"input_token_price_per_million": 0.1,
"output_token_price_per_million": 0.5
}
}
13 changes: 13 additions & 0 deletions router_inference/config/dalpha-llm-router.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1,13 @@
{
"pipeline_params": {
"router_name": "dalpha-llm-router",
"router_cls_name": "external_prediction_file",
"models": [
"gemini-3.8-flash",
"gemini-3-flash-preview",
"gpt-6-luna",
"anthropic/claude-haiku-5.5"
],
"description": "Dalpha LLM Router -- routes each query across a 4-model pool (gemini-3.8-flash at thinking_level=low, gemini-3-flash-preview with thinking off, gpt-6-luna at reasoning_effort=high, claude-haiku-5.5) using a zero-shot query classifier and a routing table calibrated on external data only. No RouterArena data was used to build or tune the router."
}
}
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