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.
DeepSeek V4.1 Flash Open
29.6 pts ABOVE Mistral Medium 3.1 (batch) on the Artificial Analysis intelligence index · 1.7× 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 Mistral Medium 3.1 (batch) →
Gemma 4 26B A4B Open
6.8 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) →
Llama 4 Maverick Open
Within 0.6 pts of Mistral Medium 3.1 (batch) on the Artificial Analysis intelligence index · 1.4× 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 Medium 3.1 (batch) →See the full open-source leaderboard
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