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Qwen: Qwen3 235B A22B Instruct 2507

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. $0.0875 per million input tokens, $0.35 per million output tokens. 262,144 token context window. Higher uptime with 10 providers. Includes independent benchmarks from Artificial Analysis.

View source on OpenRouter Hugging Face
Overview

Model specifications

Context
262,144 tokens
Maximum output
235,929 tokens
Architecture
text->text
Tokenizer
Qwen3
Knowledge cutoff
2025-06-30
Moderated
No
OPENROUTER

Complete pricing

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

Input
$0.0875
/M tokens
Output
$0.35
/M tokens
Cache read
$0.0175
/M tokens
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/qwen3-235b-a22b-2507","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

Input → Output

Input
text
Output
text
API

Supported API parameters

frequency_penaltylogit_biaslogprobsmax_tokensmin_ppresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Available providers

11 providers

Live providers on OpenRouter

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

OpenRouter

GMICloud

fp8
Context
262K
Maximum output
236K
Input
$0.087
Output
$0.350
Cache read
$0.018
Cache write
Not provided

DeepInfra

fp8
Context
262K
Maximum output
16K
Input
$0.090
Output
$0.550
Cache read
Not provided
Cache write
Not provided

Novita

fp8
Context
131K
Maximum output
16K
Input
$0.090
Output
$0.580
Cache read
Not provided
Cache write
Not provided

Parasail

fp8
Context
131K
Maximum output
118K
Input
$0.140
Output
$0.800
Cache read
$0.050
Cache write
Not provided

Alibaba

unknown
Context
131K
Maximum output
33K
Input
$0.150
Output
$0.598
Cache read
Not provided
Cache write
Not provided

Venice

fp8
Context
128K
Maximum output
16K
Input
$0.150
Output
$0.750
Cache read
Not provided
Cache write
Not provided

Nebius

fp8
Context
262K
Maximum output
236K
Input
$0.200
Output
$0.600
Cache read
Not provided
Cache write
Not provided

AtlasCloud

fp8
Context
131K
Maximum output
118K
Input
$0.200
Output
$0.880
Cache read
$0.200
Cache write
Not provided

StreamLake

unknown
Context
128K
Maximum output
32K
Input
$0.210
Output
$0.840
Cache read
Not provided
Cache write
Not provided

Google

unknown
Context
262K
Maximum output
16K
Input
$0.220
Output
$0.880
Cache read
Not provided
Cache write
Not provided

Google

unknown
Context
262K
Maximum output
16K
Input
$0.250
Output
$1.00
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 →
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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 →
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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 →