Best LLMs for Bengali 2026 | Bengali Language AI Leaderboard

Top LLMs for Bengali (Bangla) language tasks including content creation, translation, and comprehension.

Google: Gemini 3.1 Flash Lite Preview

Google: Gemini 3.1 Flash Lite Preview

by Google

1.05M tokens

Gemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized for high-volume use cases. It outperforms Gemini 2.5 Flash Lite on overall quality and approaches Gemini 2.5 Flash performance across key capabilities. Improvements span audio input/ASR, RAG snippet ranking, translation, data extraction, and code completion. Supports full thinking levels (minimal, low, medium, high) for fine-grained cost/performance trade-offs. Priced at half the cost of Gemini 3 Flash.

Position Medals
OpenAI: GPT-5.4 Mini

OpenAI: GPT-5.4 Mini

by OpenAI

400K tokens

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments. The model is designed for production environments that require a balance of capability and efficiency, making it well suited for chat applications, coding assistants, and agent workflows that operate at scale. GPT-5.4 mini delivers reliable instruction following, solid multi-step reasoning, and consistent performance across diverse tasks with improved cost efficiency.

Position Medals
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

4

Qwen: Qwen3.5-35B-A3B

Qwen: Qwen3.5-35B-A3B

by Qwen

262.14K tokens

5

MiniMax: MiniMax M2.7

MiniMax: MiniMax M2.7

by MiniMax

196.61K tokens

6

Google: Gemini 2.5 Flash Lite

Google: Gemini 2.5 Flash Lite

by Google

1.05M tokens

7

Google: Gemini 2.0 Flash

Google: Gemini 2.0 Flash

by Google

1.05M tokens

8

OpenAI: GPT-5 Chat

OpenAI: GPT-5 Chat

by OpenAI

128K tokens