LLMCompare cannot run Qwen3.5-9B 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 nowQwen3.5-9B at a glance
- Context length
- 262,144 tokens
- Maximum output
- 65,536 tokens
- Accepts
- Text, Image, Video
- Returns
- Text
- Features
- JSON outputTool callingPrompt cachingImage input
- Reasoning effort levels
- Not supported
- Released
- 10 Mar 2026
- Knowledge cutoff
- Not published
Model facts synced from the OpenRouter model list on 21 Oct 2026.
Qwen3.5-9B pricing by route
A route is the service LLMCompare calls to reach the model. Qwen3.5-9B has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache readper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $0.08 | $0.13 | $0.04 | openrouter.ai/qwen/qwen3.5-9b |
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 Qwen3.5-9B costs. The starting numbers are examples. Change them to match your task.
Part of the input tokens above, billed at the cache read price.
- Cost per call
- $0.00015
- 1 credits
- Cost of 100 calls
- $0.0145
- 100 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 Qwen3.5-9B
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...
Description as published for this model. LLMCompare has not edited it.
Models to compare with Qwen3.5-9B
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 |
|---|---|---|---|---|---|---|---|---|
Qwen3.7 FlashQwenqwen/qwen3.7-flash | 1M | 65.5k | $0.03 | $0.13 | JSONToolsCacheVision | No route yet | ||
Qwen2.5 7B InstructQwenqwen/qwen-2.5-7b-instruct | 32.8k | 29.5k | $0.10 | $0.20 | JSONTools | No route yet | ||
Qwen3.5-FlashQwenqwen/qwen3.5-flash-02-23 | 1M | 65.5k | $0.065 | $0.26 | JSONToolsVision | No route yet | ||
Phi 4Microsoft AImicrosoft/phi-4 | 16.4k | 14.7k | $0.07 | $0.14 | JSON | No route yet | ||
Reka Edgerekaairekaai/reka-edge | 16.4k | 14.7k | $0.10 | $0.10 | JSONToolsVision | No route yet | ||
Ministral 3 3B 2512Mistralmistralai/ministral-3b-2512 | 131k | 105k | $0.10 | $0.10 | JSONToolsCacheVision | No route yet |
Questions about Qwen3.5-9B
- How much does Qwen3.5-9B cost?
- On the OpenRouter route, Qwen3.5-9B costs $0.08 per 1 million input tokens and $0.13 per 1 million output tokens, in US dollars. Input tokens that Qwen3.5-9B reads from the prompt cache cost $0.04 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of Qwen3.5-9B?
- Qwen3.5-9B has a context length of 262,144 tokens and returns up to 65,536 output tokens in one call.
- What inputs does Qwen3.5-9B accept?
- Qwen3.5-9B accepts these inputs: Text, Image, Video. Qwen3.5-9B returns: Text.
- Can I test Qwen3.5-9B on my own data?
- Not yet. LLMCompare lists the prices and parameters of Qwen3.5-9B, but no route to Qwen3.5-9B is configured on LLMCompare, so it cannot be selected for an evaluation.