AI Models · Open-Source Alternatives

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 Open

DeepSeek · 1M ctx · $0.6/M out

29.8 pts ABOVE Mistral Large 3 2512 (batch) on the Artificial Analysis intelligence index · 1.3× cheaper per million output tokens

DeepSeek V4.1 Flash 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 Large 3 2512 (batch) →

Gemma 4 26B A4B Open

Google · 262K ctx · $0.22/M out

7.0 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

Meta · 1M ctx · $0.7/M out

Within 0.4 pts of Mistral Large 3 2512 (batch) on the Artificial Analysis intelligence index · 1.1× 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) →

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