Best LLMs for Polish 2026 | Polish Language AI Leaderboard
Top LLMs for Polish language performance and accuracy.

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.

Owl Alpha
by OpenRouter
•1.05M tokens
Owl Alpha is a high-performance foundation model designed for agentic workloads. Natively supports tool use, and long-context tasks, with strong performance in code generation, automated workflows, and complex instruction execution. Compatible with Claude Code, OpenClaw, and other mainstream productivity tools. Note: Prompts and completions may be logged by the provider and used to improve the model.

DeepSeek: DeepSeek V4 Flash (free)
by DeepSeek
•1.05M tokens
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and high-throughput workloads, while maintaining strong reasoning and coding performance. The model includes hybrid attention for efficient long-context processing. Reasoning efforts `high` and `xhigh` are supported; `xhigh` maps to max reasoning. It is well suited for applications such as coding assistants, chat systems, and agent workflows where responsiveness and cost efficiency are important.

4

Xiaomi: MiMo-V2.5
by Xiaomi
1.05M tokens
5
Google: Gemini 3 Flash Preview
by Google
1.05M tokens
6
Google: Gemini 2.5 Flash Lite
by Google
1.05M tokens
7
Google: Gemini 3.5 Flash
by Google
1.05M tokens
8
OpenAI: GPT-5
by OpenAI
400K tokens
9
Anthropic: Claude Sonnet 4.6
by Anthropic
1M tokens