AI Models · Open-Source Alternatives

Open-Source Alternatives to Mistral Medium 3.1

The best open-weight, self-hostable alternatives to Mistral Medium 3.1 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

Mistral Medium 3.1 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

29.6 pts ABOVE Mistral Medium 3.1 on the Artificial Analysis intelligence index · 3.3× 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 Medium 3.1 →

MiniMax M3 Open

MiniMax · 1M ctx · $1.2/M out

19.7 pts ABOVE Mistral Medium 3.1 on the Artificial Analysis intelligence index · 1.7× 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 Mistral Medium 3.1 →

TH Inkling Small Open

Thinkingmachines · 1M ctx · $1.2/M out

16.2 pts ABOVE Mistral Medium 3.1 on the Artificial Analysis intelligence index · 1.7× 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 Mistral Medium 3.1 →

Step 3.7 Flash Open

Stepfun · 262K ctx · $1.15/M out

9.6 pts ABOVE Mistral Medium 3.1 on the Artificial Analysis intelligence index · 1.7× 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 Mistral Medium 3.1 →

Muse Glimmer 30B Open

Meta · 131K ctx · $1.1/M out

8.2 pts ABOVE Mistral Medium 3.1 on the Artificial Analysis intelligence index · 1.8× cheaper per million output tokens

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...

Muse Glimmer 30B vs Mistral Medium 3.1 →

Gemma 4 26B A4B Open

Google · 262K ctx · $0.22/M out

6.8 pts ABOVE Mistral Medium 3.1 on the Artificial Analysis intelligence index · 9.1× 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 →

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