Back to News
Jina AIFebruary 18, 2026

jina-embeddings-v5-text

Open Source
LLMs
ML

Explore jina-embeddings-v5-text

Visit the official website to learn more and get started

### TL;DR

Jina AI's 'jina-embeddings-v5-text' is the fifth generation of their multilingual embedding models, designed to deliver state-of-the-art performance in tasks such as retrieval, text matching, clustering, and classification. Released on February 18, 2026, this model offers two variants: 'jina-embeddings-v5-text-small' with 677 million parameters and 'jina-embeddings-v5-text-nano' with 239 million parameters, both supporting context lengths up to 32,768 tokens.

Key Insights & Metrics

Pricing
Free under the CC BY-NC 4.0 license; commercial use requires contact with Jina AI
Cost structure
Version
5
Current release version
Hardware
Compatible with standard CPU and GPU configurations; specific hardware requirements depend on deployment and usage scenarios
Compute requirements
Category
Open Source
Licensing model
Region
United States
Primary region

Key Features

  • Multilingual support for 119 languages (v5-text-small) and 15 languages (v5-text-nano)
  • Context length up to 32,768 tokens
  • Task-specific LoRA adapters for retrieval, text matching, classification, and clustering
  • Matryoshka dimension truncation from 1024 down to 32 (v5-text-small) and 768 down to 32 (v5-text-nano)
  • Benchmark scores of 67.0 on MMTEB and 71.7 on MTEB English for v5-text-small; 65.5 on MMTEB and 71.0 on MTEB English for v5-text-nano

Related Releases

Step-Audio-R1

Step-Audio-R1 is an advanced audio language model developed by StepFun AI, designed to enhance audio reasoning capabilities by grounding its reasoning in acoustic features. It introduces Modality-Grounded Reasoning Distillation (MGRD), an iterative training framework that shifts the model's reasoning from textual abstractions to acoustic properties, effectively addressing the 'inverted scaling' problem where performance degrades with longer reasoning. This model has demonstrated superior performance across various audio understanding and reasoning benchmarks, surpassing models like Gemini 2.5 Pro and achieving results comparable to Gemini 3 Pro.

StepFun AINov 29
Open

SINQ

SINQ (Sinkhorn-Normalized Quantization) is a novel, fast, and high-quality quantization method designed to make any Large Language Model (LLM) smaller while preserving accuracy. It offers a plug-and-play, model-agnostic technique that delivers state-of-the-art performance for LLMs without sacrificing accuracy.

HuaweiNov 14
Open

AIBuildAI

AIBuildAI is an AI agent that autonomously constructs AI models. Given a specific task, it initiates an agent loop to analyze the problem, design models, and execute training processes, all without human intervention.

AIBuildAI
Open

DetectFlow

DetectFlow is an open-source cybersecurity detection platform developed by SOC Prime. It leverages artificial intelligence to enhance the detection of cyber threats in real-time, enabling security operations teams to identify and respond to attacks more effectively.

SOC Prime
Open

Discussion

0
Upvotes
0
Downvotes
0 reviews

Sign in to leave a review

Reviews

No reviews yet. Be the first to review!

🚀 Join the AI dev community — follow us everywhere

© 2026 MARKTECHPOST AI MEDIA INC. All rights reserved.Terms & ConditionsPrivacy Policy
Beta Mode