The best open-weight, self-hostable alternatives to GPT-3.5 Turbo (batch) in 2026 — compared on price, context window and capabilities. Run them locally and cut API costs.
Refreshed from live data · olud.ai
GPT-3.5 Turbo (batch) 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.
39.6 pts ABOVE GPT-3.5 Turbo (batch) on the Artificial Analysis intelligence index · 1.3× cheaper per million output tokens
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...
DeepSeek V4.1 Flash 1017 vs GPT-3.5 Turbo (batch) →37.2 pts ABOVE GPT-3.5 Turbo (batch) on the Artificial Analysis intelligence index · 1.3× cheaper per million output tokens
MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...
MiniMax M3.1 Flash vs GPT-3.5 Turbo (batch) →21.0 pts ABOVE GPT-3.5 Turbo (batch) on the Artificial Analysis intelligence index · 1.5× 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-3.5 Turbo (batch) →19.8 pts ABOVE GPT-3.5 Turbo (batch) on the Artificial Analysis intelligence index · 2.3× 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 GPT-3.5 Turbo (batch) →19.1 pts ABOVE GPT-3.5 Turbo (batch) on the Artificial Analysis intelligence index · 4.2× 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-3.5 Turbo (batch) →11.2 pts ABOVE GPT-3.5 Turbo (batch) on the Artificial Analysis intelligence index · 3.4× 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-3.5 Turbo (batch) →Live ranking of open-weight models with pricing, context windows and capabilities.
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