Open-Source Alternatives to 
Mistral Medium 3.1 (batch)
The best open-weight, self-hostable alternatives to Mistral Medium 3.1 (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 Mistral Medium 3.1 (batch)
Mistral Medium 3.1 (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.
XI MiMo-V2.6-Pro Open
37.1 pts ABOVE Mistral Medium 3.1 (batch) on the Artificial Analysis intelligence index · 1.1× cheaper per million output tokens
MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding...
MiMo-V2.6-Pro vs Mistral Medium 3.1 (batch) →
DeepSeek V4.1 Flash 1017 Open
35.9 pts ABOVE Mistral Medium 3.1 (batch) on the Artificial Analysis intelligence index · 1.7× 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 Mistral Medium 3.1 (batch) →
MiniMax M3.1 Flash Open
33.5 pts ABOVE Mistral Medium 3.1 (batch) on the Artificial Analysis intelligence index · 1.7× 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 Mistral Medium 3.1 (batch) →
Nemotron 3.5 Super VL Open
17.3 pts ABOVE Mistral Medium 3.1 (batch) on the Artificial Analysis intelligence index · 2.0× 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 Mistral Medium 3.1 (batch) →IN Ling 3.0 Flash VL Open
15.4 pts ABOVE Mistral Medium 3.1 (batch) on the Artificial Analysis intelligence index · 5.6× 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 Mistral Medium 3.1 (batch) →
Gemma 4 26B A4B Open
7.5 pts ABOVE Mistral Medium 3.1 (batch) on the Artificial Analysis intelligence index · 4.5× 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 Mistral Medium 3.1 (batch) →See the full open-source leaderboard
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