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Qwen: Qwen3 Embedding 8B

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Priced at $0.01 per M tokens. 32,768 token context window, maximum output of 32,000 tokens. Higher uptime with 3 providers.

View source on OpenRouter Hugging Face
Overview

Model specifications

Context
32,768 tokens
Maximum output
29,491 tokens
Architecture
text->embeddings
Tokenizer
Other
Knowledge cutoff
Not provided
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.01
/M tokens
API

Quick start

Call this exact model ID through OpenRouter’s OpenAI-compatible API.

curl https://openrouter.ai/api/v1/embeddings \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3-embedding-8b","input":"Your text here"}'
Capabilities

Input → Output

Input
text
Output
embeddings
API

Supported API parameters

frequency_penaltylogit_biaslogprobsmax_tokensmin_ppresence_penaltyrepetition_penaltyresponse_formatseedstoptemperaturetop_ktop_logprobstop_p
Available providers

3 providers

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

Nebius

unknown
Context
32K
Maximum output
29K
Input
$0.010
Output
Free
Cache read
Not provided
Cache write
Not provided

DeepInfra

unknown
Context
33K
Maximum output
29K
Input
$0.010
Output
Free
Cache read
Not provided
Cache write
Not provided

SiliconFlow

fp8
Context
33K
Maximum output
29K
Input
$0.040
Output
Free
Cache read
Not provided
Cache write
Not provided
qwen

models

All models
qwen logoqwen

Qwen: Qwen3.8 Flash

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.

Context
1M
Input
text · image · video
Output
text
Input: $0.150Output: $0.470per 1M tokens
View model details →
qwen logoqwen

Qwen: Qwen3.8 27B

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...

Context
1M
Input
text · image · video
Output
text
Input: $0.425Output: $2.55per 1M tokens
View model details →
qwen logoqwen

Qwen3 Reranker 8B

Qwen3 Reranker 8B is a text reranking model from Alibaba Cloud built on the Qwen3 architecture. It evaluates query-document pairs to produce relevance scores for use in retrieval and RAG...

Context
41K
Input
text
Output
rerank
Input: FreeOutput: Freeper 1M tokens
View model details →
qwen logoqwen

Qwen: Qwen3 ASR 1.7B

Qwen3 ASR 1.7B is an automatic speech recognition model from Qwen. It supports multilingual language identification and transcription across 30 languages and 22 Chinese dialects, with streaming and offline inference...

Context
Not provided
Input
audio
Output
transcription
Input: $7.50Output: Freeper 1M tokens
View model details →