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kimi-k2.7-code:batch Cost Calculator - OpenRouter

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

Pricing data last updated:

kimi-k2.7-code:batch Cost Calculator

Mode: Chat

Max: 262,144 tokens

Cost Breakdown

Input Cost$0.00095000
Output Cost$0.004000
Total Cost$0.004950

Pricing Details

Input: $0.0000009500 per token
Output: $0.00000400 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning

Limits

Max Input Tokens262,144
Max Tokens262,144

About kimi-k2.7-code:batch

kimi-k2.7-code:batch is a chat model from OpenRouter, one of 439 chat models they offer. It is priced at $0.95 per 1M input tokens and $4.00 per 1M output tokens, ranking 1833 out of 2912 chat models by cost and cheaper than 37% of models in this category. kimi-k2.7-code:batch supports vision, function calling, reasoning, prompt caching, structured output. Its 262K-token context window is in the top 34% among chat models.

Pricing Information

Input Cost$0.95 per 1M tokens
Output Cost$4.00 per 1M tokens

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

Technical Specifications

Maximum Input 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.

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:batch Pricing Compares

At $0.95 per 1M input tokens and $4.00 per 1M output tokens, kimi-k2.7-code:batch ranks 1833 out of 2912 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 37% of models in this category.

kimi-k2.7-code:batch is one of 439 OpenRouter chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 262K-token context window places it in the top 34% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs kimi-k2.7-code:batch
anthropic.claude-haiku-4-5-20251001-v1:0AWS Bedrock$1.00$5.00+5%
anthropic.claude-haiku-4-5@20251001AWS Bedrock$1.00$5.00+5%
apac.anthropic.claude-haiku-4-5-20251001-v1:0AWS Bedrock$1.10$5.50+16%

Alternatives to kimi-k2.7-code:batch

Similar chat models from other providers

AWS Bedrock
anthropic.claude-haiku-4-5-20251001-v1:0
$1.00/1M input
+5% vs kimi-k2.7-code:batch
AWS Bedrock
anthropic.claude-haiku-4-5@20251001
$1.00/1M input
+5% vs kimi-k2.7-code:batch
AWS Bedrock
apac.anthropic.claude-haiku-4-5-20251001-v1:0
$1.10/1M input
+16% vs kimi-k2.7-code:batch
Azure
claude-haiku-4-5
$1.00/1M input
+5% vs kimi-k2.7-code:batch
Azure
o4-mini
$1.10/1M input
+16% vs kimi-k2.7-code:batch

Frequently Asked Questions

Is kimi-k2.7-code:batch cheaper than anthropic.claude-haiku-4-5-20251001-v1:0?

Yes. kimi-k2.7-code:batch costs $0.95 per 1M input tokens compared to anthropic.claude-haiku-4-5-20251001-v1:0's $1.00 per 1M input tokens, making it 5% 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:batch pricing compare to the average chat model?

kimi-k2.7-code:batch input pricing is $0.95 per 1M tokens, which is 73% above the median of $0.55 for chat models. It ranks 1833 out of 2912 chat models by input cost, making it cheaper than 37% of models in this category. For output, it costs $4.00 per 1M tokens compared to the median of $1.50.

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

Among OpenRouter's 439 chat models, kimi-k2.7-code:batch ranks 264 by input cost.

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

The most comparable chat models to kimi-k2.7-code:batch are: anthropic.claude-haiku-4-5-20251001-v1:0 from AWS Bedrock ($1.00/1M input tokens); anthropic.claude-haiku-4-5@20251001 from AWS Bedrock ($1.00/1M input tokens); apac.anthropic.claude-haiku-4-5-20251001-v1:0 from AWS Bedrock ($1.10/1M input tokens); claude-haiku-4-5 from Azure ($1.00/1M 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 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:batch costs?

kimi-k2.7-code:batch 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 $0.95 and generating 1M output tokens costs $4.00.