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Qwen3.5-122B-A10B vs Qwen3.5-9B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Qwen3.5-122B-A10B and Qwen3.5-9B.

Alibaba

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. In terms of...

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Alibaba

Qwen3.5-9B

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...

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Technical Specifications

SpecificationQwen3.5-122B-A10BQwen3.5-9B
ProviderAlibabaAlibaba
Context Window262,144 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-252026-03-10

API Pricing Comparison

Input Price per Million Tokens

Qwen3.5-122B-A10B

$0.26

Qwen3.5-9B

$0.10

Output Price per Million Tokens

Qwen3.5-122B-A10B

$2.08

Qwen3.5-9B

$0.15

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

Qwen3.5-122B-A10B Quirks & Gotchas

No developer gotchas reported.

Qwen3.5-9B Quirks & Gotchas

No developer gotchas reported.