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Kinetic-4B vs Claude Haiku 4.5: The 4B Model Wins Tools

Kinetic-4B wins on tool calling. On a 300-sample Composio evaluation, the 4-billion-parameter model from Bengaluru lab Conscious Engines scored 82.33% accuracy at 1.61s p95 latency, against 80.0% and…

  • Kinetic-4B model outperforms Claude Haiku 4.5 in tool calling benchmark
  • Achieves 82.33% accuracy, 95.33% tool-name accuracy, 1.61-second latency
  • Smaller models cost-effective and faster for specific tasks like tool calling

Jev is a very good classifier wearing a frontier model's coat

Two years in stealth. Ex-OpenAI. Co-invented ChatGPT. That is the pitch for Jev, and the pitch is doing most of the lifting. Strip the marketing off and look at what it actually does.

  • Jev is a JSON-based classifier utilizing a frontier model's coat
  • Co-invented by an ex-OpenAI employee, Jev has been in stealth for two years
  • The model acts as a sidecar to the big LLM, handling routing and validation

DeepSeek V4.1-Flash Wins on Coding Agent Cost

Verdict: For coding agents, DeepSeek V4.1-Flash is the best open source LLM right now, because it lands level with Claude Opus 5 on software engineering while costing a fraction as much per million…

  • DeepSeek V4.1-Flash leads in coding agent performance, scoring 74.2 in DeepSWE v1.1
  • V4.1-Flash offers cost-effective pricing at $0.003 per 1M cached input tokens
  • V4.1-Flash struggles with complex reasoning tasks compared to Claude Opus 5

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