Open-Source Alternatives to INLing-2.6-1T
The best open-weight, self-hostable alternatives to Ling-2.6-1T in 2026 — compared on price, context window and capabilities. Run them locally and cut API costs.
Refreshed from live data · olud.ai
The best open-weight alternatives to Ling-2.6-1T
Ling-2.6-1T is a proprietary, API-only model. These open-weight models can be self-hosted, run offline and used at a fraction of the cost — here's how the top ones stack up.
Hy3 Open
15.6 pts ABOVE Ling-2.6-1T on the Artificial Analysis intelligence index · 1.2× cheaper per million output tokens
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...
Hy3 vs Ling-2.6-1T →IN Ling-3.0-flash Open
11.2 pts ABOVE Ling-2.6-1T on the Artificial Analysis intelligence index · 10.5× cheaper per million output tokens
*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enablin
Ling-3.0-flash vs Ling-2.6-1T →
Gemma 4 31B Open
3.1 pts ABOVE Ling-2.6-1T on the Artificial Analysis intelligence index · 1.9× cheaper per million output tokens
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
Gemma 4 31B vs Ling-2.6-1T →See the full open-source leaderboard
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