How much do Qwen3.5-122B-A10B cost per month?

For an example workload of 20 million input tokens and 5 million output tokens per month: Qwen3.5-122B-A10B: $16. These are token-only estimates using the displayed rates, without caching discounts, additional tool charges or taxes. Actual bills depend on usage and endpoint pricing.

Which has a larger context window: Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B: 262K tokens of context; maximum output 66K tokens. Context capacity and maximum output are separate limits. A larger context window allows more material in a request but does not guarantee more accurate answers.

Which is better for coding: Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B: Artificial Analysis SciCode 39.7%. Compare coding results within the same evaluation, then test representative tasks from your own codebase. A missing score is not a zero, and a single benchmark does not establish the best model for every programming task.

How do Arena Elo, DesignArena, Intelligence Index and MMLU-Pro differ?

These evaluations measure different tasks and use different scales. Arena Elo and DesignArena ratings must remain separate, as must Artificial Analysis Intelligence Index and MMLU-Pro. Compare models within the same evaluation rather than combining scores. Missing results are marked Not listed, not treated as measured zeroes.

Which responds faster: Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B: Artificial Analysis output speed 129 tokens/s; time to first token 2.35 seconds. Output speed measures generation throughput, while time to first token measures the initial wait. Real-world latency also depends on the API provider, request size and load; missing measurements cannot establish a speed winner.

Do Qwen3.5-122B-A10B support images, audio or video?

Qwen3.5-122B-A10B: listed input formats: text, image, video; output formats: text. Input and output support are different capabilities: accepting an image does not mean a model generates images. Confirm formats and file limits for the endpoint you plan to use.

Do Qwen3.5-122B-A10B support tool calling and structured outputs?

Qwen3.5-122B-A10B: listed features: Function calling, Structured outputs, JSON mode, Reasoning, Log probabilities, Deterministic seed. Only recorded capabilities are shown; an unlisted feature is not proof that it is unsupported. Availability can vary by API provider, so confirm tool calling and JSON schema support for your chosen endpoint.

Can prompt caching reduce the cost of Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B: cached input price not listed. Caching may reduce charges for eligible repeated input when supported by the endpoint. A listed cached rate does not guarantee every request qualifies; cache duration, minimum token counts and any write charges depend on the provider.

Are Qwen3.5-122B-A10B available through an API?

Qwen3.5-122B-A10B: catalog status active; API identifier qwen3.5-122b-a10b; listed API hosts not listed. Catalog status is not a live availability check. Before integrating, verify the provider's documentation, endpoint access, rate limits, regional availability and data-handling terms.

Models, measured side by side

Qwen3.5-122B-A10B compared to other AI models

Compare Qwen3.5-122B-A10B by token pricing, context length, benchmark results, speed and tool support.

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Comparison FAQ

Qwen3.5-122B-A10B: $0.26 input and $2.08 output per million tokens. The cheaper choice depends on your input-to-output ratio; a model can have a lower input rate but a higher output rate.

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