Best LLMs for Danish 2026 | Danish Language AI Leaderboard

Top performing LLMs for Danish language tasks.

Google: Gemini 2.5 Flash

Google: Gemini 2.5 Flash

by Google

1.05M tokens

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater accuracy and nuanced context handling. Additionally, Gemini 2.5 Flash is configurable through the "max tokens for reasoning" parameter, as described in the documentation (https://openrouter.ai/docs/use-cases/reasoning-tokens#max-tokens-for-reasoning).

Position Medals
Anthropic: Claude Sonnet 4.6

Anthropic: Claude Sonnet 4.6

by Anthropic

1M tokens

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with memory, polished document creation, and confident computer use for web QA and workflow automation.

Position Medals
OpenAI: GPT-5.5

OpenAI: GPT-5.5

by OpenAI

1.05M tokens

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reasoning, coding, and multimodal workflows within a single system.

Position Medals

4

DeepSeek: DeepSeek V4 Flash (free)

DeepSeek: DeepSeek V4 Flash (free)

by DeepSeek

1.05M tokens

5

Google: Gemini 2.5 Flash Lite

Google: Gemini 2.5 Flash Lite

by Google

1.05M tokens

6

Owl Alpha

Owl Alpha

by OpenRouter

1.05M tokens

7

Google: Gemini 2.0 Flash

Google: Gemini 2.0 Flash

by Google

1M tokens

8

OpenAI: GPT-5.4 Nano

OpenAI: GPT-5.4 Nano

by OpenAI

400K tokens

9

OpenAI: GPT-5 Nano

OpenAI: GPT-5 Nano

by OpenAI

400K tokens