Open-Source Alternatives to 
o1-pro (batch)
The best open-weight, self-hostable alternatives to o1-pro (batch) 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 o1-pro (batch)
o1-pro (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.
Kimi K3 Open
40.6 pts ABOVE o1-pro (batch) on the Artificial Analysis intelligence index · 20.0× cheaper per million output tokens
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...
Kimi K3 vs o1-pro (batch) →
Qwen3.8 Max Open
39.0 pts ABOVE o1-pro (batch) on the Artificial Analysis intelligence index · 50.0× cheaper per million output tokens
Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max Preview. It is a multimodal reasoning model intended for complex reasoning, visual understanding,...
Qwen3.8 Max vs o1-pro (batch) →
MiniMax M3 Open
26.3 pts ABOVE o1-pro (batch) on the Artificial Analysis intelligence index · 250.0× cheaper per million output tokens
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
MiniMax M3 vs o1-pro (batch) →TH Inkling Open
23.2 pts ABOVE o1-pro (batch) on the Artificial Analysis intelligence index · 74.1× cheaper per million output tokens
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...
Inkling vs o1-pro (batch) →NE Nex-N2-Pro Open
22.6 pts ABOVE o1-pro (batch) on the Artificial Analysis intelligence index · 300.0× cheaper per million output tokens
Nex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and produces...
Nex-N2-Pro vs o1-pro (batch) →
Step 3.7 Flash Open
11.8 pts ABOVE o1-pro (batch) on the Artificial Analysis intelligence index · 260.9× cheaper per million output tokens
Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters...
Step 3.7 Flash vs o1-pro (batch) →See the full open-source leaderboard
Live ranking of open-weight models with pricing, context windows and capabilities.
Open the leaderboard →