Best LLMs for Nepali 2026 | Nepali Language AI Rankings

Top performing LLMs for Nepali language tasks.

Xiaomi: MiMo-V2.5-Pro

Xiaomi: MiMo-V2.5-Pro

by Xiaomi

1.05M tokens

MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro. It can independently and autonomously complete professional tasks that would take human experts days or weeks, involving more than a thousand tool calls. Its context length of up to 1M makes it well suited for integration with a wide range of agent frameworks.

Position Medals
Google: Gemini 2.5 Flash Lite

Google: Gemini 2.5 Flash Lite

by Google

1.05M tokens

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance across common benchmarks compared to earlier Flash models. By default, "thinking" (i.e. multi-pass reasoning) is disabled to prioritize speed, but developers can enable it via the [Reasoning API parameter](https://openrouter.ai/docs/use-cases/reasoning-tokens) to selectively trade off cost for intelligence.

Position Medals
Google: Gemini 3 Flash Preview

Google: Gemini 3 Flash Preview

by Google

1.05M tokens

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool use performance with substantially lower latency than larger Gemini variants, making it well suited for interactive development, long running agent loops, and collaborative coding tasks. Compared to Gemini 2.5 Flash, it provides broad quality improvements across reasoning, multimodal understanding, and reliability. The model supports a 1M token context window and multimodal inputs including text, images, audio, video, and PDFs, with text output. It includes configurable reasoning via thinking levels (minimal, low, medium, high), structured output, tool use, and automatic context caching. Gemini 3 Flash Preview is optimized for users who want strong reasoning and agentic behavior without the cost or latency of full scale frontier models.

Position Medals

4

Google: Gemini 2.5 Flash

Google: Gemini 2.5 Flash

by Google

1.05M tokens

5

Meta: Llama 3.1 8B Instruct

Meta: Llama 3.1 8B Instruct

by Meta Llama

131.07K tokens

6

Google: Gemini 3.1 Flash Lite

Google: Gemini 3.1 Flash Lite

by Google

1.05M tokens

7

OpenAI: GPT-4.1 Mini

OpenAI: GPT-4.1 Mini

by OpenAI

1.05M tokens

8

Anthropic: Claude Sonnet 4.5

Anthropic: Claude Sonnet 4.5

by Anthropic

1M tokens

9

Google: Gemini 3.1 Flash Lite Preview

Google: Gemini 3.1 Flash Lite Preview

by Google

1.05M tokens