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Items tagged with Multilingual (10)

MiniMax M2.1

Models

Open-source 230B parameter MoE model optimized for multi-language coding, agentic workflows, and real-world development tasks with 74% SWE-bench performance.

#Coding

500000DR: 68AS: 72

EmbeddingGemma

Models

Lightweight multilingual text embedding model from Google DeepMind, optimized for on-device AI with <200MB RAM usage.

#Embedding

100000DR: 95AS: 95

Qwen3-Embedding

Models

State-of-the-art multilingual text embedding model supporting 100+ languages with Apache 2.0 license.

#Embedding

50000DR: 85AS: 88

Whisper V3

Models

OpenAI's latest speech recognition model with multilingual support, significantly improved accuracy and robustness.

#OpenAI

8000DR: 95AS: 92

Cohere Embed v3

Models

Enterprise-grade embedding model with multilingual support, optimized for retrieval and semantic search, supporting multiple tasks.

#Cohere

4500DR: 88AS: 86

Cohere Rerank 3.5

Models

Industry-leading reranking model with multilingual support, significantly improving search and retrieval accuracy.

#Cohere

4000DR: 88AS: 86

DeepSeek-Coder-V2.5

Models

The strongest open-source code model, supporting 338 programming languages, 236B parameters, industry-leading code generation and understanding.

#DeepSeek

3500DR: 88AS: 90

Jina AI Reranker v3

Models

High-performance multilingual reranking model supporting 100+ languages with 8192 tokens context length, achieving excellent performance on BEIR and other benchmarks.

#Jina AI

450DR: 85AS: 82

BGE-M3

Models

Top open-source multilingual embedding model by BAAI, supporting 100+ languages, 8192 token input length, with unified dense, multi-vector, and sparse retrieval capabilities.

#BAAI

0DR: 85AS: 80

mixedbread ai mxbai-rerank-large-v1

Models

Open-source high-performance reranking model supporting 90+ languages, outperforms Cohere rerank-v3 on BEIR benchmarks, with ONNX optimization.

#Mixedbread ai

220DR: 78AS: 75