Calculate the cost of using qwen3.5-flash-02-23 from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,000,000 tokens
Max: 65,536 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
qwen3.5-flash-02-23 is a chat model from OpenRouter, one of 480 chat models they offer. It is priced at $0.07 per 1M input tokens and $0.26 per 1M output tokens, ranking 244 out of 3501 chat models by cost and cheaper than 93% of models in this category. qwen3.5-flash-02-23 supports vision, function calling, reasoning, structured output. Its 1,000K-token context window is in the top 25% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,000,000 input tokens. The maximum output length is 65,536 tokens.
At $0.07 per 1M input tokens and $0.26 per 1M output tokens, qwen3.5-flash-02-23 ranks 244 out of 3501 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 93% of models in this category.
qwen3.5-flash-02-23 is one of 480 OpenRouter chat models, with support for vision, function calling, reasoning, structured output. its 1,000K-token context window places it in the top 25% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3.5-flash-02-23 |
|---|---|---|---|---|
| gpt-5-nano-2025-08-07 | Azure | $0.06 | $0.44 | -15% |
| gemma-4-26B-A4B-it | DeepInfra | $0.07 | $0.34 | +8% |
| coding-xiaomi-mimo-v2-omni | Aihubmix | $0.08 | $0.40 | +23% |
Similar chat models from other providers
No. qwen3.5-flash-02-23 costs $0.07 per 1M input tokens while gpt-5-nano-2025-08-07 costs $0.06 per 1M input tokens, making gpt-5-nano-2025-08-07 15% more affordable for input. However, qwen3.5-flash-02-23 may offer different capabilities or performance characteristics that justify the price difference.
qwen3.5-flash-02-23 input pricing is $0.07 per 1M tokens, which is 89% below the median of $0.60 for chat models. It ranks 244 out of 3501 chat models by input cost, making it cheaper than 93% of models in this category. For output, it costs $0.26 per 1M tokens compared to the median of $1.71.
Among OpenRouter's 480 chat models, qwen3.5-flash-02-23 ranks 42 by input cost.
The most comparable chat models to qwen3.5-flash-02-23 are: gpt-5-nano-2025-08-07 from Azure ($0.06/1M input tokens); gemma-4-26B-A4B-it from DeepInfra ($0.07/1M input tokens); coding-xiaomi-mimo-v2-omni from Aihubmix ($0.08/1M input tokens); coding-xiaomi-mimo-v2.5 from Aihubmix ($0.08/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
qwen3.5-flash-02-23 supports up to 1,000,000 input tokens, placing it in the top 25% of chat models by context window size (rank 606 of 3230). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
qwen3.5-flash-02-23 is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.07 and generating 1M output tokens costs $0.26.