Calculate the cost of using qwen3-next-80b-a3b-thinking from Dashscope for your AI applications
Pricing data last updated:
Mode: Chat
Max: 262,144 tokens
Max: 65,536 tokens
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qwen3-next-80b-a3b-thinking is a chat model from Dashscope, one of 17 chat models they offer. It is priced at $0.15 per 1M input tokens and $1.20 per 1M output tokens, ranking 443 out of 2292 chat models by cost and cheaper than 77% of models in this category. qwen3-next-80b-a3b-thinking supports function calling, reasoning. Its 262K-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 262,144 input tokens. The maximum output length is 65,536 tokens.
At $0.15 per 1M input tokens and $1.20 per 1M output tokens, qwen3-next-80b-a3b-thinking ranks 443 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 77% of models in this category.
qwen3-next-80b-a3b-thinking is one of 17 Dashscope chat models, with support for function calling, reasoning. its 262K-token context window places it in the top 25% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3-next-80b-a3b-thinking |
|---|---|---|---|---|
| Phi-4-reasoning | Azure | $0.13 | $0.50 | -17% |
| deepseek-v4-flash | Fireworks AI | $0.14 | $0.28 | -7% |
| gpt-oss-120b | Fireworks AI | $0.15 | $0.60 | 0% |
Similar chat models from other providers
No. qwen3-next-80b-a3b-thinking costs $0.15 per 1M input tokens while Phi-4-reasoning costs $0.13 per 1M input tokens, making Phi-4-reasoning 17% more affordable for input. However, qwen3-next-80b-a3b-thinking may offer different capabilities or performance characteristics that justify the price difference.
qwen3-next-80b-a3b-thinking input pricing is $0.15 per 1M tokens, which is 73% below the median of $0.55 for chat models. It ranks 443 out of 2292 chat models by input cost, making it cheaper than 77% of models in this category. For output, it costs $1.20 per 1M tokens compared to the median of $1.50.
Among Dashscope's 17 chat models, qwen3-next-80b-a3b-thinking ranks 6 by input cost.
The most comparable chat models to qwen3-next-80b-a3b-thinking are: Phi-4-reasoning from Azure ($0.13/1M input tokens); deepseek-v4-flash from Fireworks AI ($0.14/1M input tokens); gpt-oss-120b from Fireworks AI ($0.15/1M input tokens); gpt-oss-120b from Groq ($0.15/1M 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-next-80b-a3b-thinking supports up to 262,144 input tokens, placing it in the top 25% of chat models by context window size (rank 414 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
qwen3-next-80b-a3b-thinking 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 $0.15 and generating 1M output tokens costs $1.20.
