Open-Source Alternatives to 
GPT-4o-mini
The best open-weight, self-hostable alternatives to GPT-4o-mini 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 GPT-4o-mini
GPT-4o-mini 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.
Nemotron 3.5 Super VL Open
19.8 pts ABOVE GPT-4o-mini on the Artificial Analysis intelligence index · 1.2× cheaper per million output tokens
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...
Nemotron 3.5 Super VL vs GPT-4o-mini →IN Ling 3.0 Flash VL Open
17.9 pts ABOVE GPT-4o-mini on the Artificial Analysis intelligence index · 3.3× cheaper per million output tokens
Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...
Ling 3.0 Flash VL vs GPT-4o-mini →
Gemma 4 26B A4B Open
10.0 pts ABOVE GPT-4o-mini on the Artificial Analysis intelligence index · 2.3× cheaper per million output tokens
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...
Gemma 4 26B A4B vs GPT-4o-mini →See the full open-source leaderboard
Live ranking of open-weight models with pricing, context windows and capabilities.
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