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qwen.qwen3-vl-235b-a22b-instruct Cost Calculator - Bedrock Mantle

Calculate the cost of using qwen.qwen3-vl-235b-a22b-instruct from Bedrock Mantle for your AI applications

Pricing data last updated:

qwen.qwen3-vl-235b-a22b-instruct Cost Calculator

Mode: Chat

Max: 256,000 tokens

Max: 8,000 tokens

Cost Breakdown

Input Cost$0.00053000
Output Cost$0.002660
Total Cost$0.003190

Pricing Details

Input: $0.0000005300 per token
Output: $0.00000266 per token
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Model Specifications

Capabilities

Function Calling
Vision

Limits

Max Input Tokens256,000
Max Output Tokens8,000
Max Tokens8,000

About qwen.qwen3-vl-235b-a22b-instruct

qwen.qwen3-vl-235b-a22b-instruct is a chat model from Bedrock Mantle, one of 81 chat models they offer. It is priced at $0.53 per 1M input tokens and $2.66 per 1M output tokens, ranking 1789 out of 3639 chat models by cost and cheaper than 51% of models in this category. qwen.qwen3-vl-235b-a22b-instruct supports vision, function calling. Its 256K-token context window is in the top 44% among chat models.

Pricing Information

Input Cost$0.53 per 1M tokens
Output Cost$2.66 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 Tokens8,000
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 8,000 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images

How qwen.qwen3-vl-235b-a22b-instruct Pricing Compares

At $0.53 per 1M input tokens and $2.66 per 1M output tokens, qwen.qwen3-vl-235b-a22b-instruct ranks 1789 out of 3639 chat models by input cost. It is more affordable compared to the median of $0.58 for chat models, and is cheaper than 51% of models in this category.

qwen.qwen3-vl-235b-a22b-instruct is one of 81 Bedrock Mantle chat models, with support for vision, function calling. its 256K-token context window places it in the top 44% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen.qwen3-vl-235b-a22b-instruct
gpt-4.1-mini-2025-04-14Azure$0.44$1.76-17%
FW-Kimi-K2.5Azure$0.66$3.30+25%
kimi-k2.5Azure$0.60$3.00+13%

Alternatives to qwen.qwen3-vl-235b-a22b-instruct

Similar chat models from other providers

Azure
gpt-4.1-mini-2025-04-14
$0.44/1M input
-17% vs qwen.qwen3-vl-235b-a22b-instruct
Azure
FW-Kimi-K2.5
$0.66/1M input
+25% vs qwen.qwen3-vl-235b-a22b-instruct
Azure
kimi-k2.5
$0.60/1M input
+13% vs qwen.qwen3-vl-235b-a22b-instruct
Azure
kimi-k2.6
$0.60/1M input
+13% vs qwen.qwen3-vl-235b-a22b-instruct
Azure
mistral-large-3
$0.50/1M input
-6% vs qwen.qwen3-vl-235b-a22b-instruct

Frequently Asked Questions

Is qwen.qwen3-vl-235b-a22b-instruct cheaper than gpt-4.1-mini-2025-04-14?

No. qwen.qwen3-vl-235b-a22b-instruct costs $0.53 per 1M input tokens while gpt-4.1-mini-2025-04-14 costs $0.44 per 1M input tokens, making gpt-4.1-mini-2025-04-14 17% more affordable for input. However, qwen.qwen3-vl-235b-a22b-instruct may offer different capabilities or performance characteristics that justify the price difference.

How does qwen.qwen3-vl-235b-a22b-instruct pricing compare to the average chat model?

qwen.qwen3-vl-235b-a22b-instruct input pricing is $0.53 per 1M tokens, which is 9% below the median of $0.58 for chat models. It ranks 1789 out of 3639 chat models by input cost, making it cheaper than 51% of models in this category. For output, it costs $2.66 per 1M tokens compared to the median of $1.66.

What makes qwen.qwen3-vl-235b-a22b-instruct different from other Bedrock Mantle models?

Among Bedrock Mantle's 81 chat models, qwen.qwen3-vl-235b-a22b-instruct ranks 57 by input cost.

What are the best alternatives to qwen.qwen3-vl-235b-a22b-instruct?

The most comparable chat models to qwen.qwen3-vl-235b-a22b-instruct are: gpt-4.1-mini-2025-04-14 from Azure ($0.44/1M input tokens); FW-Kimi-K2.5 from Azure ($0.66/1M input tokens); kimi-k2.5 from Azure ($0.60/1M input tokens); kimi-k2.6 from Azure ($0.60/1M 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-vl-235b-a22b-instruct costs?

qwen.qwen3-vl-235b-a22b-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 $0.53 and generating 1M output tokens costs $2.66.