Best LLMs for Kannada 2026 | Kannada Language AI Leaderboard

Real-time rankings of the best LLMs for Kannada language.

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
Google: Gemini 2.0 Flash

Google: Gemini 2.0 Flash

by Google

1M tokens

Gemini Flash 2.0 offers a significantly faster time to first token (TTFT) compared to [Gemini Flash 1.5](/google/gemini-flash-1.5), while maintaining quality on par with larger models like [Gemini Pro 1.5](/google/gemini-pro-1.5). It introduces notable enhancements in multimodal understanding, coding capabilities, complex instruction following, and function calling. These advancements come together to deliver more seamless and robust agentic experiences.

Position Medals
Google: Gemma 4 26B A4B  (free)

Google: Gemma 4 26B A4B (free)

by Google

262.14K 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 a fraction of the compute cost. Supports multimodal input including text, images, and video (up to 60s at 1fps). Features a 256K token context window, native function calling, configurable thinking/reasoning mode, and structured output support. Released under Apache 2.0.

Position Medals

4

Google: Gemini 2.5 Flash Lite

Google: Gemini 2.5 Flash Lite

by Google

1.05M tokens