AI Models · Open-Source Alternatives

Open-Source Alternatives to Gemini 3.8 Flash

The best open-weight, self-hostable alternatives to Gemini 3.8 Flash 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 Gemini 3.8 Flash

Gemini 3.8 Flash 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

DeepSeek · 1M ctx · $1.8/M out

2.0 pts ABOVE Gemini 3.8 Flash on the Artificial Analysis intelligence index · 2.3× 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 Gemini 3.8 Flash →

XI MiMo-V2.6-Pro Open

Xiaomi · 1.1M ctx · $0.87/M out

Within 0.6 pts of Gemini 3.8 Flash on the Artificial Analysis intelligence index · 4.7× 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 Gemini 3.8 Flash →

MiniMax M3.1 Flash Open

MiniMax · 1M ctx · $0.6/M out

Within 1.6 pts of Gemini 3.8 Flash on the Artificial Analysis intelligence index · 6.9× 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 Gemini 3.8 Flash →

Step 5 Preview Open

Stepfun · 1M ctx · $2.7/M out

Within 2.0 pts of Gemini 3.8 Flash on the Artificial Analysis intelligence index · 1.5× cheaper per million output tokens

Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B active / 600B total parameters). It performs strongly in software engineering and professional...

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