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Qwen: Qwen3.5-122B-A10B

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. $0.26 per million input tokens, $2.08 per million output tokens. 262,144 token context window, maximum output of 262,144 tokens. Higher uptime with 5 providers. Includes independent benchmarks from Artificial Analysis.

View source on OpenRouter Hugging Face
Overview

Model specifications

Context
262,144 tokens
Maximum output
81,920 tokens
Architecture
text+image+video->text
Tokenizer
Qwen3
Knowledge cutoff
Not provided
Moderated
No
OPENROUTER

Complete pricing

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

Input
$0.26
/M tokens
Output
$2.08
/M tokens
API

Model configuration

Default parameters

temperature
0.6
top_p
0.95
top_k
20

Reasoning

Moderated
No
Default parameters
No
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/qwen3.5-122b-a10b","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

Input → Output

Input
textimagevideo
Output
text
Reasoning

No

API

Supported API parameters

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Available providers

5 providers

Live providers on OpenRouter

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

OpenRouter

SiliconFlow

fp8
Context
262K
Maximum output
236K
Input
$0.260
Output
$2.08
Cache read
Not provided
Cache write
Not provided

Alibaba

unknown
Context
262K
Maximum output
66K
Input
$0.260
Output
$2.08
Cache read
Not provided
Cache write
Not provided

DeepInfra

fp4
Context
262K
Maximum output
82K
Input
$0.290
Output
$2.40
Cache read
Not provided
Cache write
Not provided

AtlasCloud

fp8
Context
262K
Maximum output
66K
Input
$0.300
Output
$2.40
Cache read
$0.300
Cache write
Not provided

Novita

bf16
Context
262K
Maximum output
66K
Input
$0.400
Output
$3.20
Cache read
Not provided
Cache write
Not provided
qwen

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Context
1M
Input
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Output
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Context
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Input
text · image · video
Output
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Input: $0.425Output: $2.55per 1M tokens
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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
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Output
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Input: FreeOutput: Freeper 1M tokens
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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
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Output
transcription
Input: $7.50Output: Freeper 1M tokens
View model details →