Qwen3.5-122B-A10B

Qwen3.5-122B-A10B by Alibaba excels in the Coding category, where it ranks #51 with a composite score of 61/100. 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 overall performance, this model is second only to Qwen3.5-397B-A17B. Its text capabilities significantly outperform those of Qwen3-235B-2507, and its visual capabilities surpass those of Qwen3-VL-235B. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Qwen3.5-122B-A10B is priced at $0.30 per million input tokens and $2.40 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Qwen3.5-122B-A10B holds rank #51 out of 6 models tracked. Its quality rank is #51 and adoption rank is #51. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Qwen3.5-122B-A10B has been evaluated across 6 different signals. Its strongest areas include Capabilities (71/100), Context Window (86/100), Output Capacity (80/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 61/100 reflects a weighted combination of all tracked signals.

Qwen3.5-122B-A10B is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Alibaba's website for current free tier availability and promotional offers.