Artificial Analysis (@ArtificialAnlys) scored OpenBMB MiniCPM5-2B (2.6B dense, 131k context, Apache 2.0) at 15 on Intelligence Index v4.2 — highest among open-weights models under 4B total parameters. Strong small-model agentic results (GDPval-AA / τ³-Banking); coding/long-context benches like Terminal-Bench lag larger peers.

Key Takeaways

  • ✓Model: OpenBMB MiniCPM5-2B — 2.6B dense, 131k context, Apache 2.0.
  • ✓Score: AA Intelligence Index v4.2 = 15, highest open-weights under 4B (vs Granite 4.2 3B at 11).
  • ✓Tradeoff: strong small-model agentic benches; weaker on Terminal-Bench / HLE-style coding and knowledge.
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Key Decision Metrics at a Glance

TL;DR Verdict
🏆 Benchmark RankRank
Tradeoff: strong small-model agentic benches; weaker on Terminal-Bench / HLE-style coding and knowledge.
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MiniCPM5-2B · OpenBMB · Artificial Analysis
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