Best LLMs for Bengali 2026 | Bengali Language AI Leaderboard

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

Anthropic: Claude Opus 4.7

Anthropic: Claude Opus 4.7

by Anthropic

1M tokens

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on complex, multi-step tasks and more reliable agentic execution across extended workflows. It is especially effective for asynchronous agent pipelines where tasks unfold over time - large codebases, multi-stage debugging, and end-to-end project orchestration. Beyond coding, Opus 4.7 brings improved knowledge work capabilities - from drafting documents and building presentations to analyzing data. It maintains coherence across very long outputs and extended sessions, making it a strong default for tasks that require persistence, judgment, and follow-through. For users upgrading from earlier Opus versions, see our [official migration guide here](https://openrouter.ai/docs/guides/evaluate-and-optimize/model-migrations/claude-4-7)

Position Medals
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

4

Anthropic: Claude Opus 4.5

Anthropic: Claude Opus 4.5

by Anthropic

200K tokens

5

OpenAI: gpt-oss-120b (free)

OpenAI: gpt-oss-120b (free)

by OpenAI

131.07K tokens

6

OpenAI: GPT-4o-mini

OpenAI: GPT-4o-mini

by OpenAI

128K tokens

7

Google: Gemini 3 Flash Preview

Google: Gemini 3 Flash Preview

by Google

1.05M tokens

8

Owl Alpha

Owl Alpha

by OpenRouter

1.05M tokens

9

Google: Gemini 3.1 Flash Lite

Google: Gemini 3.1 Flash Lite

by Google

1.05M tokens