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Qwen3.5-122B-A10B

122B

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. In terms of...

Input Price$0.40/1M tokens
Output Price$3.20/1M tokens
Intelligence27.6
Coding43.3

Specifications

Technical details and pricing.

ProviderQwen
Context Window262,144 tokens
Release DateFeb 24, 2026
ModalitiesText, Image β†’ Text
CapabilitiesFunction Calling, Vision
AvailabilityChat only

Benchmarks

7 benchmark scores from Artificial Analysis.

GPQA82.7%
HLE14.8%
SciCode35.6%
LCR56.0%
IFBench50.8%
Tau284.5%
TerminalBench Hard29.5%

Composite Indices

Higher is better; speed and price are normalized

Standard Benchmarks

Only benchmarks with data are shown

EU-Hosted Inference API

Power your AI projects with the best open-source models.

Drop-in OpenAI-compatible API. No data leaves Europe.

Explore Inference API

MiniMax

MiniMax M3

$0.40 / $1.40

per M tokens

Z.ai

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$1.40 / $4.40

per M tokens

MoonshotAI

Kimi K2.7 Code

$0.95 / $4.00

per M tokens

DeepSeek

DeepSeek V4 Pro

$1.80 / $3.60

per M tokens

Frequently Asked Questions

What is Qwen3.5-122B-A10B good for?

Use Qwen3.5-122B-A10B for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.

How much does Qwen3.5-122B-A10B cost?

Pricing is based on usage. Current rates are $0.40/1M tokens for input and $3.20/1M tokens for output.

Can I use Qwen3.5-122B-A10B in LLMBase Chat?

Yes. Use the chat action on this page to open Qwen3.5-122B-A10B in LLMBase Chat. Access still follows the current plan and model tier.

Does Qwen3.5-122B-A10B support images or audio?

Qwen3.5-122B-A10B can understand images.

Benchmarks and pricing use Artificial Analysis where available. Catalog specs are used as a fallback.