Qwen3.5-122B-A10B
by Qwenqwen/qwen3.5-122b-a10b
LLMCompare cannot run Qwen3.5-122B-A10B yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
See the models that can be run nowQwen3.5-122B-A10B at a glance
- Context length
- 262,144 tokens
- Maximum output
- 65,536 tokens
- Accepts
- Text, Image, Video
- Returns
- Text
- Features
- JSON outputTool callingImage input
- Reasoning effort levels
- Not supported
- Released
- 25 Feb 2026
- Knowledge cutoff
- Not published
Model facts synced from the OpenRouter model list on 21 Oct 2026.
Qwen3.5-122B-A10B pricing by route
A route is the service LLMCompare calls to reach the model. Qwen3.5-122B-A10B has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $0.26 | $2.08 | openrouter.ai/qwen/qwen3.5-122b-a10b |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to Qwen3.5-122B-A10B costs. The starting numbers are examples. Change them to match your task.
- Cost per call
- $0.0013
- 2 credits
- Cost of 100 calls
- $0.13
- 200 credits
Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
temperature | Number | 0 to 2in steps of 0.1 | Provider default |
top_p | Number | 0 to 1in steps of 0.05 | Provider default |
max_tokens | Integer | 1 to 65,536 | Provider default |
seed | Integer | -2,147,483,648 to 4,294,967,295 | Provider default |
response_format | One of | textjson_object | Provider default |
About 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...
Description as published for this model. LLMCompare has not edited it.
Models to compare with Qwen3.5-122B-A10B
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
Qwen3.6 PlusQwenqwen/qwen3.6-plus | 1M | 65.5k | $0.325 | $1.95 | JSONToolsVision | No route yet | ||
Qwen3.5-27BQwenqwen/qwen3.5-27b | 262k | 65.5k | $0.27 | $2.16 | JSONToolsCacheVision | No route yet | ||
Qwen3.6 27BQwenqwen/qwen3.6-27b | 262k | 65.5k | $0.25 | $2.00 | JSONToolsCacheVision | No route yet | ||
Aion-2.0AionLabsaion-labs/aion-2.0 | 131k | 32.8k | $0.80 | $1.60 | JSONToolsCache | No route yet | ||
Devstral 2 2512Mistralmistralai/devstral-2512 | 262k | 210k | $0.40 | $2.00 | JSONToolsCache | No route yet | ||
Mistral Medium 3.1Mistralmistralai/mistral-medium-3.1 | 131k | 105k | $0.40 | $2.00 | JSONToolsCacheVision | No route yet |
Questions about Qwen3.5-122B-A10B
- How much does Qwen3.5-122B-A10B cost?
- On the OpenRouter route, Qwen3.5-122B-A10B costs $0.26 per 1 million input tokens and $2.08 per 1 million output tokens, in US dollars. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of Qwen3.5-122B-A10B?
- Qwen3.5-122B-A10B has a context length of 262,144 tokens and returns up to 65,536 output tokens in one call.
- What inputs does Qwen3.5-122B-A10B accept?
- Qwen3.5-122B-A10B accepts these inputs: Text, Image, Video. Qwen3.5-122B-A10B returns: Text.
- Can I test Qwen3.5-122B-A10B on my own data?
- Not yet. LLMCompare lists the prices and parameters of Qwen3.5-122B-A10B, but no route to Qwen3.5-122B-A10B is configured on LLMCompare, so it cannot be selected for an evaluation.