Composio benchmarked 5 open-weight models across 30 multi-step agent tasks, finding GLM-5.3 Flash and DeepSeek-V4 Flash delivered the highest cost efficiency at a fraction of full-model pricing.

Key Takeaways

  • ✓Flash-class models achieve near parity with full-scale weights at approximately 75% lower inference cost;
  • ✓Multi-application tool orchestration remains the primary failure mode across all open-source models;
  • ✓Provides empirical cost-per-success metrics to guide architectural selection for enterprise agent deployments.
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Key Decision Metrics at a Glance

TL;DR Verdict
🏆 Benchmark RankRank
Flash-class models achieve near parity with full-scale weights at approximately 75% lower inference cost;
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💰 Cost & PlansCompare
GLM-5.3-Flash · in: $0.15 / out: $0.5
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🛠️ Ecosystem & IDERules
Cursor · Claude Code · API
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Up NextvLLM v0.31.0: 717 commits, `vllm preload` fast restarts, DeepSeek-V4.1-Flash FlashMLA default, security gates and breaking changes
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