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Qwen: Qwen3 VL 8B Instruct

Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. $0.117 per million input tokens, $0.455 per million output tokens. 262,144 token context window, maximum output of 32,768 tokens. Higher uptime with 2 providers. Includes independent benchmarks from Artificial Analysis.

View source on OpenRouter Hugging Face
Overview

Model specifications

Context
262,144 tokens
Maximum output
32,768 tokens
Architecture
text+image->text
Tokenizer
Qwen3
Knowledge cutoff
Not provided
Moderated
No
OPENROUTER

Complete pricing

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

Input
$0.117
/M tokens
Output
$0.455
/M tokens
API

Model configuration

Default parameters

temperature
0.7
top_p
0.8
API

Quick start

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

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3-vl-8b-instruct","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

Input → Output

Input
imagetext
Output
text
API

Supported API parameters

frequency_penaltylogit_biaslogprobsmax_tokenspresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Available providers

2 providers

Live providers on OpenRouter

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

OpenRouter

Alibaba

unknown
Context
131K
Maximum output
33K
Input
$0.117
Output
$0.455
Cache read
Not provided
Cache write
Not provided

Parasail

bf16
Context
262K
Maximum output
236K
Input
$0.250
Output
$0.750
Cache read
$0.120
Cache write
Not provided
qwen

models

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Context
1M
Input
text · image · video
Output
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Input: $0.150Output: $0.470per 1M tokens
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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 →
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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 →
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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 →