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Qwen · Model

Qwen3.5-122B-A10B pricing, context window and specs

Qwen3.5-122B-A10B costs $0.26 per million input tokens and $2.08 per million output tokens, and reads up to 262,144 tokens per request. By blended price it is number 8 of Qwen’s 13 current models here, counting from the cheapest.

Input / 1M
$0.26
Output / 1M
$2.08
Cached / 1M
–
Context
262,144
Max output
65,536
Released
2026-02-25

Estimate your cost with Qwen3.5-122B-A10BCompare all Qwen modelsCount tokens for Qwen3.5-122B-A10B

Pricing

Qwen3.5-122B-A10B API pricing

Price per 1M tokensInputOutput
Standard$0.26$2.08

Output costs 8.0× the input price, so long replies drive the bill more than long prompts. No cached-input price is published, so repeated prompt prefixes are billed at the full input price.

Examples

What Qwen3.5-122B-A10B costs in practice

WorkloadTokens in / outRequests/dayPer requestPer month
Support chatbot1,500 / 4001,000$0.00122$37.17
RAG app6,000 / 500500$0.0026$39.54
Coding agent40,000 / 2,000200$0.0146$88.57
Document summariser8,000 / 600300$0.00333$30.37

Change any number in the cost calculator.

Context

Context window

Qwen3.5-122B-A10B accepts up to 262,144 tokens per request, roughly 196,608 English words or 393 pages. That budget is shared between your prompt and the reply, and a single reply is capped at 65,536 tokens.

Filling the whole window with one prompt costs about $0.0682 at list price, so for repeated long-document work, retrieval (sending only the relevant parts) or prompt caching is usually much cheaper.

Check whether your text fits Qwen3.5-122B-A10B’s window.

Features

Capabilities

Image input
Yes
Tool / function calling
Yes
Reasoning mode
Yes
Prompt caching
No
Structured output
Yes
Open weights
Yes
Accepts
text, image, video
Knowledge cutoff
Not published

As declared by the provider’s API. It shows a feature exists, not how well it works.

API

Qwen3.5-122B-A10B model ID

OpenRouter
qwen/qwen3.5-122b-a10b
Open weights
Qwen/Qwen3.5-122B-A10B

Use the OpenRouter ID when calling it through OpenRouter; Qwen’s own API may name it differently. See the model ID reference for the providers we document.

Qwen

Where Qwen3.5-122B-A10B sits in Qwen’s line-up

Ranked by blended price (three parts input to one part output, $0.715 per 1M for Qwen3.5-122B-A10B), it is number 8 of Qwen’s 13 current models here, counting from the cheapest. One step down, Qwen3.7 Plus costs $0.56 blended (22% less). Unlike Qwen3.5-122B-A10B, it doesn’t accept video, reads up to 1,000,000 tokens (262,144 here) and caps a reply at 131,072 tokens (65,536 here). One step up, Qwen3.6 27B costs $1.04 (1.5× as much). Unlike Qwen3.5-122B-A10B, it caps a reply at 81,920 tokens (65,536 here). See every Qwen model and price

ModelInput / 1MOutput / 1MContextReleased
Qwen3.5-9B$0.10$0.15256,0002026-03-10
Qwen3.8 Flash$0.15$0.471,000,0002026-08-26
Qwen3.8 Omni Flash$0.15$0.471,000,0002026-09-21
Qwen3 Coder Next$0.12$0.80262,1442026-02-04
Qwen3.6 35B A3B$0.10$0.95262,1442026-04-27
Qwen3 VL 8B Instruct$0.25$0.75262,1442025-10-14
Qwen3.7 Plus$0.32$1.281,000,0002026-06-03
Qwen3.5-122B-A10B (this page)$0.26$2.08262,1442026-02-25
Qwen3.6 27B$0.32$3.20262,1442026-04-27
Qwen3.5 397B A17B$0.55$3.50262,1442026-02-16
Qwen3.8 2.4T A95B$2$61,048,5762026-08-12
Qwen3.8 Max (0902)$2$61,000,0002026-09-03
Qwen3.8 Max Prime$4$121,000,0002026-09-23

Qwen’s current models with a page here, cheapest first. Older and superseded models are listed on the provider page and in the comparison table.

Save

Cheaper alternatives

Current models from major providers, one per provider, that keep image input, tool calling, a reasoning mode, a usable context window and output limit. Compared by blended price.

Compare

Similarly priced models

Current models from other major providers, closest blended price.

FAQ

Qwen3.5-122B-A10B questions

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

Qwen3.5-122B-A10B costs $0.26 per million input tokens and $2.08 per million output tokens. A typical chatbot reply (1,500 tokens in, 400 out) costs about $0.00122. Use the LLM cost calculator for your own workload.

What is Qwen3.5-122B-A10B’s context window?

262,144 tokens, about 196,608 English words or 393 printed pages, shared between your prompt and the reply. A single reply can be up to 65,536 tokens.

Does Qwen3.5-122B-A10B support prompt caching and batch requests?

No cached-input price is published for it. No batch price is published for it.

What are cheaper alternatives to Qwen3.5-122B-A10B?

With the same essentials (image input and tool calling), the cheapest options are Qwen3.5-9B (84% cheaper), Seed 1.6 Flash (82% cheaper), GPT-6 Luna (72% cheaper). Cheaper doesn’t mean equivalent, so test them on your own prompts.

What is the API model ID for Qwen3.5-122B-A10B?

On OpenRouter it is qwen/qwen3.5-122b-a10b. Qwen’s own API may use a different name, so check its model list before you deploy. Pass the ID as the model value in each request.

Is Qwen3.5-122B-A10B open source?

Yes, Qwen3.5-122B-A10B has open weights, so you can run it yourself or choose between several hosting providers. The prices here are a typical hosted price.

Updated

Sources: OpenRouter models API and LiteLLM model prices and context windows, checked daily; open-weight prices are typical hosted prices. Confirm critical numbers on Qwen’s pricing page. See our methodology.