Open-Source Alternatives to 
Mistral Large 3 2512 (batch)
The best open-weight, self-hostable alternatives to Mistral Large 3 2512 (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 Large 3 2512 (batch)
Mistral Large 3 2512 (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.
DeepSeek V4.1 Flash 1017 Open
35.8 pts ABOVE Mistral Large 3 2512 (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 Mistral Large 3 2512 (batch) →
MiniMax M3.1 Flash Open
33.4 pts ABOVE Mistral Large 3 2512 (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 Mistral Large 3 2512 (batch) →
Nemotron 3.5 Super VL Open
17.2 pts ABOVE Mistral Large 3 2512 (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 Mistral Large 3 2512 (batch) →
Gemma 4 26B A4B Open
7.4 pts ABOVE Mistral Large 3 2512 (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 Mistral Large 3 2512 (batch) →
Llama 4 Maverick Open
0.0 pts ABOVE Mistral Large 3 2512 (batch) on the Artificial Analysis intelligence index · 1.2× cheaper per million output tokens
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Llama 4 Maverick vs Mistral Large 3 2512 (batch) →See the full open-source leaderboard
Live ranking of open-weight models with pricing, context windows and capabilities.
Open the leaderboard →