Qwen3.5-Flash
by Qwenqwen/qwen3.5-flash-02-23
LLMCompare cannot run Qwen3.5-Flash 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-Flash at a glance
- Context length
- 1,000,000 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-Flash pricing by route
A route is the service LLMCompare calls to reach the model. Qwen3.5-Flash has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $0.065 | $0.26 | openrouter.ai/qwen/qwen3.5-flash-02-23 |
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-Flash costs. The starting numbers are examples. Change them to match your task.
- Cost per call
- $0.0002
- 1 credits
- Cost of 100 calls
- $0.0195
- 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-Flash
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...
Description as published for this model. LLMCompare has not edited it.
Models to compare with Qwen3.5-Flash
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 Coder 30B A3B InstructQwenqwen/qwen3-coder-30b-a3b-instruct | 262k | 236k | $0.07 | $0.28 | JSONTools | 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 14BQwenqwen/qwen3-14b | 41k | 16.4k | $0.12 | $0.24 | JSONTools | No route yet | ||
Nex-N2.5-ProNex AGInex-agi/nex-n2.5-pro | 262k | 236k | $0.075 | $0.25 | ReasoningJSONToolsCacheVision | No route yet | ||
Granite 4.2 8BIBMibm-granite/granite-4.2-8b | 131k | 118k | $0.06 | $0.25 | ReasoningJSONToolsCache | No route yet | ||
Mistral Small 3.2 24BMistralmistralai/mistral-small-3.2-24b-instruct | 256k | 16.4k | $0.0938 | $0.25 | JSONToolsVision | No route yet |
Questions about Qwen3.5-Flash
- How much does Qwen3.5-Flash cost?
- On the OpenRouter route, Qwen3.5-Flash costs $0.065 per 1 million input tokens and $0.26 per 1 million output tokens, in US dollars. LLMCompare verified this price on 21 Oct 2026.
- What is the context length of Qwen3.5-Flash?
- Qwen3.5-Flash has a context length of 1,000,000 tokens and returns up to 65,536 output tokens in one call.
- What inputs does Qwen3.5-Flash accept?
- Qwen3.5-Flash accepts these inputs: Text, Image, Video. Qwen3.5-Flash returns: Text.
- Can I test Qwen3.5-Flash on my own data?
- Not yet. LLMCompare lists the prices and parameters of Qwen3.5-Flash, but no route to Qwen3.5-Flash is configured on LLMCompare, so it cannot be selected for an evaluation.