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kimi-k2.7-code Cost Calculator - OpenRouter

Calculate the cost of using kimi-k2.7-code from OpenRouter for your AI applications

Pricing data last updated:

kimi-k2.7-code Cost Calculator

Mode: Chat

Max: 262,144 tokens

Max: 16,384 tokens

Cost Breakdown

Input Cost$0.00074000
Output Cost$0.003500
Total Cost$0.004240

Pricing Details

Input: $0.0000007400 per token
Output: $0.00000350 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning

Limits

Max Input Tokens262,144
Max Output Tokens16,384
Max Tokens16,384

About kimi-k2.7-code

kimi-k2.7-code is a chat model from OpenRouter, one of 346 chat models they offer. It is priced at $0.74 per 1M input tokens and $3.50 per 1M output tokens, ranking 1261 out of 2170 chat models by cost and cheaper than 42% of models in this category. kimi-k2.7-code supports vision, function calling, reasoning, prompt caching, structured output. Its 262K-token context window is in the top 24% among chat models.

Pricing Information

Input Cost$0.74 per 1M tokens
Output Cost$3.50 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 Tokens16,384
Maximum Total Tokens16,384

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 16,384 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images
Advanced Reasoning - Complex problem-solving capabilities
Prompt Caching - Optimize repeated prompts
Response Schema - Structured output formatting

How kimi-k2.7-code Pricing Compares

At $0.74 per 1M input tokens and $3.50 per 1M output tokens, kimi-k2.7-code ranks 1261 out of 2170 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 42% of models in this category.

kimi-k2.7-code is one of 346 OpenRouter chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 262K-token context window places it in the top 24% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs kimi-k2.7-code
gpt-5.4-miniAzure$0.75$4.50+1%
gpt-5.4-mini-2026-03-17Azure$0.75$4.50+1%
gpt-5.4-miniOpenAI$0.75$4.50+1%

Alternatives to kimi-k2.7-code

Similar chat models from other providers

Azure
gpt-5.4-mini
$0.75/1M input
+1% vs kimi-k2.7-code
Azure
gpt-5.4-mini-2026-03-17
$0.75/1M input
+1% vs kimi-k2.7-code
OpenAI
gpt-5.4-mini
$0.75/1M input
+1% vs kimi-k2.7-code
OpenAI
gpt-5.4-mini-2026-03-17
$0.75/1M input
+1% vs kimi-k2.7-code
AWS Bedrock
amazon.nova-pro-v1:0
$0.80/1M input
+8% vs kimi-k2.7-code

Frequently Asked Questions

Is kimi-k2.7-code cheaper than gpt-5.4-mini?

Yes. kimi-k2.7-code costs $0.74 per 1M input tokens compared to gpt-5.4-mini's $0.75 per 1M input tokens, making it 1% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.

How does kimi-k2.7-code pricing compare to the average chat model?

kimi-k2.7-code input pricing is $0.74 per 1M tokens, which is 35% above the median of $0.55 for chat models. It ranks 1261 out of 2170 chat models by input cost, making it cheaper than 42% of models in this category. For output, it costs $3.50 per 1M tokens compared to the median of $1.46.

What makes kimi-k2.7-code different from other OpenRouter models?

Among OpenRouter's 346 chat models, kimi-k2.7-code ranks 205 by input cost.

What are the best alternatives to kimi-k2.7-code?

The most comparable chat models to kimi-k2.7-code 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); gpt-5.4-mini from OpenAI ($0.75/1M input tokens); gpt-5.4-mini-2026-03-17 from OpenAI ($0.75/1M 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 kimi-k2.7-code's context window?

kimi-k2.7-code supports up to 262,144 input tokens, placing it in the top 24% of chat models by context window size (rank 483 of 2095). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if OpenRouter is down?

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.

How do I calculate kimi-k2.7-code costs?

kimi-k2.7-code 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 $0.74 and generating 1M output tokens costs $3.50.