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qwen.qwen3-next-80b-a3b-instruct Cost Calculator - Bedrock Mantle

Calculate the cost of using qwen.qwen3-next-80b-a3b-instruct from Bedrock Mantle for your AI applications

Pricing data last updated:

qwen.qwen3-next-80b-a3b-instruct Cost Calculator

Mode: Chat

Max: 256,000 tokens

Max: 262,144 tokens

Cost Breakdown

Input Cost$0.00014000
Output Cost$0.001200
Total Cost$0.001340

Pricing Details

Input: $0.0000001400 per token
Output: $0.00000120 per token
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Model Specifications

Capabilities

✓Function Calling
✓Reasoning

Limits

Max Input Tokens256,000
Max Output Tokens262,144
Max Tokens8,000

About qwen.qwen3-next-80b-a3b-instruct

qwen.qwen3-next-80b-a3b-instruct is a chat model from Bedrock Mantle, one of 99 chat models they offer. It is priced at $0.14 per 1M input tokens and $1.20 per 1M output tokens, ranking 713 out of 4040 chat models by cost and cheaper than 82% of models in this category. qwen.qwen3-next-80b-a3b-instruct supports function calling, reasoning. It accepts up to 256K input tokens.

Pricing Information

Input Cost$0.14 per 1M tokens
Output Cost$1.20 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens256,000
Maximum Output Tokens262,144
Maximum Total Tokens8,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 256,000 input tokens. The maximum output length is 262,144 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Advanced Reasoning - Complex problem-solving capabilities

How qwen.qwen3-next-80b-a3b-instruct Pricing Compares

At $0.14 per 1M input tokens and $1.20 per 1M output tokens, qwen.qwen3-next-80b-a3b-instruct ranks 713 out of 4040 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 82% of models in this category.

qwen.qwen3-next-80b-a3b-instruct is one of 99 Bedrock Mantle chat models, with support for function calling, reasoning.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen.qwen3-next-80b-a3b-instruct
Phi-4-reasoningAzure$0.13$0.50-11%
qwen3-next-80b-a3b-thinkingDashscope$0.15$1.20+7%
qwen3-vl-32b-thinkingDashscope$0.16$2.87+14%

Alternatives to qwen.qwen3-next-80b-a3b-instruct

Similar chat models from other providers

Azure
Phi-4-reasoning
$0.13/1M input
-11% vs qwen.qwen3-next-80b-a3b-instruct
Dashscope
qwen3-next-80b-a3b-thinking
$0.15/1M input
+7% vs qwen.qwen3-next-80b-a3b-instruct
Dashscope
qwen3-vl-32b-thinking
$0.16/1M input
+14% vs qwen.qwen3-next-80b-a3b-instruct
Dashscope
qwen3.8-flash
$0.15/1M input
+7% vs qwen.qwen3-next-80b-a3b-instruct
Dashscope
qwen3.8-omni-flash
$0.15/1M input
+7% vs qwen.qwen3-next-80b-a3b-instruct

Frequently Asked Questions

Is qwen.qwen3-next-80b-a3b-instruct cheaper than Phi-4-reasoning?

No. qwen.qwen3-next-80b-a3b-instruct costs $0.14 per 1M input tokens while Phi-4-reasoning costs $0.13 per 1M input tokens, making Phi-4-reasoning 11% more affordable for input. However, qwen.qwen3-next-80b-a3b-instruct may offer different capabilities or performance characteristics that justify the price difference.

How does qwen.qwen3-next-80b-a3b-instruct pricing compare to the average chat model?

qwen.qwen3-next-80b-a3b-instruct input pricing is $0.14 per 1M tokens, which is 77% below the median of $0.60 for chat models. It ranks 713 out of 4040 chat models by input cost, making it cheaper than 82% of models in this category. For output, it costs $1.20 per 1M tokens compared to the median of $1.80.

What makes qwen.qwen3-next-80b-a3b-instruct different from other Bedrock Mantle models?

Among Bedrock Mantle's 99 chat models, qwen.qwen3-next-80b-a3b-instruct ranks 29 by input cost.

What are the best alternatives to qwen.qwen3-next-80b-a3b-instruct?

The most comparable chat models to qwen.qwen3-next-80b-a3b-instruct are: Phi-4-reasoning from Azure ($0.13/1M input tokens); qwen3-next-80b-a3b-thinking from Dashscope ($0.15/1M input tokens); qwen3-vl-32b-thinking from Dashscope ($0.16/1M input tokens); qwen3.8-flash from Dashscope ($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.

How do I calculate qwen.qwen3-next-80b-a3b-instruct costs?

qwen.qwen3-next-80b-a3b-instruct 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 $0.14 and generating 1M output tokens costs $1.20.