BANT lead qualifier

Use case Β· Sales

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BANT lead qualifier

Sales

Score any inbound lead (call note, email thread, or form) on Budget, Authority, Need, Timeline and return a qualified / not-yet verdict with the gaps to chase.

The routing recipe
Job typeStructured extractionPolicyBalanced
routes to
GPT-OSS 20B groq
groq:openai/gpt-oss-20b
88.8
match score
80.9
task fit
100
cost
96.4
speed
Why this model from benchmarks & capabilities
  • "Structured extraction" leans hardest on instruction; GPT-OSS 20B scores 78/100 there β€” #23 of 40.
  • Strength on this class of work shows up on IFEval, IFBench (instruction following), where OpenAI (open-weight) models are competitive.
  • Cost: free tier. Speed: ~1000 tok/s on Groq LPU.
  • Chosen over Qwen3 Coder 480B-A35B Instruct for faster.
Capability the job needsWeightGPT-OSS 20BCatalog rank
instruction1.0078#23 of 40
tool_use0.6073#25 of 40
speed0.6096#1 of 40
Relevant benchmarksIFEval IFBench (instruction following) EconomicsCost: free tier.
Speed: ~1000 tok/s on Groq LPU.
vs runner-upChosen over Qwen3 Coder 480B-A35B Instruct for faster. (Qwen3 Coder 480B-A35B Instruct, score 86.3)
Example result
Sample input β–Ύ
Inbound form + reply: 'We're a 60-person fintech, currently failing our SOC 2 Type II readiness. Our compliance lead asked me (VP Eng) to find tooling before our December audit. We have budget approved up to ~$30k/yr.'
{ "budget": {"score":3, "evidence":"~$30k/yr approved"}, "authority":{"score":2, "evidence":"VP Eng sourcing; compliance lead is sponsor; approver unnamed"}, "need": {"score":3, "evidence":"Failing SOC 2 Type II readiness"}, "timeline": {"score":3, "evidence":"December audit"}, "qualified": true, "missing": ["final approver", "current tooling/incumbent"], "recommended_action": "Fast-track demo this week; confirm the economic buyer before proposal." }
Test it on your own data
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