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moonshotai.kimi-k2.6 Cost Calculator - AWS Bedrock

Calculate the cost of using moonshotai.kimi-k2.6 from AWS Bedrock for your AI applications

Pricing data last updated:

moonshotai.kimi-k2.6 Cost Calculator

Mode: Chat

Max: 262,144 tokens

Max: 262,144 tokens

Cost Breakdown

Input Cost$0.00060000
Output Cost$0.003030
Total Cost$0.003630

Pricing Details

Input: $0.0000006000 per token
Output: $0.00000303 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning

Limits

Max Input Tokens262,144
Max Output Tokens262,144
Max Tokens262,144

About moonshotai.kimi-k2.6

moonshotai.kimi-k2.6 is a chat model from AWS Bedrock, one of 317 chat models they offer. It is priced at $0.60 per 1M input tokens and $3.03 per 1M output tokens, ranking 1186 out of 2172 chat models by cost and cheaper than 45% of models in this category. moonshotai.kimi-k2.6 supports vision, function calling, reasoning — one of only 10 chat models with this combination. Its 262K-token context window is in the top 24% among chat models.

Pricing Information

Input Cost$0.60 per 1M tokens
Output Cost$3.03 per 1M tokens

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

Technical Specifications

Maximum Input Tokens262,144
Maximum Output Tokens262,144
Maximum Total Tokens262,144

Pro Tip

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 262,144 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images
Advanced Reasoning - Complex problem-solving capabilities
System Messages - Configure model behavior

How moonshotai.kimi-k2.6 Pricing Compares

At $0.60 per 1M input tokens and $3.03 per 1M output tokens, moonshotai.kimi-k2.6 ranks 1186 out of 2172 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 45% of models in this category.

moonshotai.kimi-k2.6 is one of 317 AWS Bedrock chat models, one of only 10 chat models combining function calling, reasoning, vision. its 262K-token context window places it in the top 24% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs moonshotai.kimi-k2.6
gpt-5.4-miniAzure$0.75$4.50+25%
gpt-5.4-mini-2026-03-17Azure$0.75$4.50+25%
gemini-3-flash-previewVertex AI$0.50$3.00-17%

Alternatives to moonshotai.kimi-k2.6

Similar chat models from other providers

Azure
gpt-5.4-mini
$0.75/1M input
+25% vs moonshotai.kimi-k2.6
Azure
gpt-5.4-mini-2026-03-17
$0.75/1M input
+25% vs moonshotai.kimi-k2.6
Vertex AI
gemini-3-flash-preview
$0.50/1M input
-17% vs moonshotai.kimi-k2.6
Google Gemini
gemini-3-flash-preview
$0.50/1M input
-17% vs moonshotai.kimi-k2.6
OpenAI
gpt-5.4-mini
$0.75/1M input
+25% vs moonshotai.kimi-k2.6

Frequently Asked Questions

Is moonshotai.kimi-k2.6 cheaper than gpt-5.4-mini?

Yes. moonshotai.kimi-k2.6 costs $0.60 per 1M input tokens compared to gpt-5.4-mini's $0.75 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.

How does moonshotai.kimi-k2.6 pricing compare to the average chat model?

moonshotai.kimi-k2.6 input pricing is $0.60 per 1M tokens, which is 9% above the median of $0.55 for chat models. It ranks 1186 out of 2172 chat models by input cost, making it cheaper than 45% of models in this category. For output, it costs $3.03 per 1M tokens compared to the median of $1.48.

What makes moonshotai.kimi-k2.6 different from other AWS Bedrock models?

Among AWS Bedrock's 317 chat models, moonshotai.kimi-k2.6 ranks 140 by input cost. Its combination of function calling, reasoning, vision is shared by only 9 other chat models.

What are the best alternatives to moonshotai.kimi-k2.6?

The most comparable chat models to moonshotai.kimi-k2.6 are: gpt-5.4-mini from Azure ($0.75/1M input tokens); gpt-5.4-mini-2026-03-17 from Azure ($0.75/1M input tokens); gemini-3-flash-preview from Vertex AI ($0.50/1M input tokens); gemini-3-flash-preview from Google Gemini ($0.50/1M 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 large is moonshotai.kimi-k2.6's context window?

moonshotai.kimi-k2.6 supports up to 262,144 input tokens, placing it in the top 24% of chat models by context window size (rank 479 of 2097). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate moonshotai.kimi-k2.6 costs?

moonshotai.kimi-k2.6 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 $0.60 and generating 1M output tokens costs $3.03.