Alternatives

Products that do what HIM 3B by TeleologyHI does

Governed intelligence, distilled to 3B, running anywhere

1. 1
   Qwen3.5▲307

   The 397B native multimodal agent with 17B active params

   Feb 2026

2. 2
   Runner H▲353

   The AI agent that completes tasks for you !

   2025

3. 3
   OpenAI Open Models▲480

   gpt-oss-120b and gpt-oss-20b open-weight language models

   2025

4. 4
   DeepSeek-V3.1▲420

   Our first step toward the agent era

   2025

5. 5
   Qwen3.8-Max▲277

   Qwen’s most capable model for coding and cowork

   Aug 2026 · qwen.ai

6. 6
   GLM-5▲154

   Open-weights model for long-horizon agentic engineering

   Feb 2026

7. 7
   Qwen3-235B-A22B-Thinking-2507▲262

   Qwen's most advanced reasoning model yet

   2025

8. 8
   Codex Subagents▲306

   Parallel custom agents for complex tasks

   Mar 2026

9. 9
   Qwen3.5 Small▲359

   0.8B-9B native multimodal w/ more intelligence, less compute

   Mar 2026

10. 10
    Qwen3.6-35B-A3B▲124

    The open sparse MoE model for agentic coding

    Apr 2026

11. 11
    Llama▲312

    3.1-405B: an open source model to rival GPT-4o / Claude-3.5

    2024

12. 12
    GLM-4.5▲298

    Unifying agentic capabilities in one open model

    2025

13. 13
    Helicone.ai▲208

    The open-source AI gateway for AI-native startups

    Nov 2025

14. 14
    Meta Llama 3▲159

    The most capable openly available LLM to date

    2024

15. 15RA
    Run an 80B Qwen in 4.3 GB of RAM on a Mac, and a 35B on an iPhone▲312

    Aug 2026 · github.com

16. 16
    Qwen3-Coder▲248

    A powerful open model for agentic coding tasks

    2025

17. 17
    QwQ-32B▲197

    Matching R1 reasoning yet 20x smaller

    2025

18. 18
    Qwen3.6-27B▲120

    The sweet-spot open dense model for coding agents

    Apr 2026

19. 19
    Nemotron 3 Ultra by NVIDIA▲179

    Powers faster, efficient reasoning for long-running agents

    Jun 2026 · developer.nvidia.com

20. 20SV
    Statewright – Visual state machines that make AI agents reliable▲126

    Agentic problem solving in its current state is very brittle. I fell in love with it, but it creates as many problems as it solves. I'm Ben Cochran, I spent 20+ years in the trenches with full-stack Engineering, DevOps, high performance computing & ML with stints at NVIDIA, AMD and various other organizations most recently as a Distinguished Engineer. For agents to work reliably you either need massive parameter counts or massive context windows to keep the solution spaces workable. Most people are brute forcing reliability with bigger models and longer prompts. What if I made the problem…

    May 2026 · github.com

21. 21Q6
    Qwen3.6-35B-A3B on a 16 GB M1 Pro with SSD-streamed MoE▲24

    Jul 2026 · github.com

22. 22
    Zeus▲109

    Highly autonomous agent for finishing complex, long tasks

    Mar 2026

23. 23
    Agentfield▲91

    Build & scale AI \ agents as microservices with IAM

    Dec 2025

24. 24
    Finyuus▲81

    A code-first language for durable, governed AI workflows

    Aug 2026 · github.com

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