Open-Source Alternatives to 
o1-pro
The best open-weight, self-hostable alternatives to o1-pro 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
o1-pro 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 (batch) Open
31.4 pts ABOVE o1-pro on the Artificial Analysis intelligence index · 40.0× 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 (batch) vs o1-pro →
Qwen3.8 Max (0902) Open
27.9 pts ABOVE o1-pro on the Artificial Analysis intelligence index · 100.0× cheaper per million output tokens
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...
Qwen3.8 Max (0902) vs o1-pro →
DeepSeek V4.1 Flash Open
27.1 pts ABOVE o1-pro on the Artificial Analysis intelligence index · 1,000.0× cheaper per million output tokens
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
DeepSeek V4.1 Flash vs o1-pro →
MiniMax M3 Open
17.2 pts ABOVE o1-pro on the Artificial Analysis intelligence index · 500.0× 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 →TH Inkling Small Open
13.7 pts ABOVE o1-pro on the Artificial Analysis intelligence index · 500.0× cheaper per million output tokens
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...
Inkling Small vs o1-pro →
Step 3.7 Flash Open
7.1 pts ABOVE o1-pro on the Artificial Analysis intelligence index · 521.7× 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 →See the full open-source leaderboard
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