---
title: "kimi-k2.7-code Cost Calculator - Perplexity"
description: "Calculate the cost of using kimi-k2.7-code from Perplexity. Input costs $0.95 and output $4.00 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/perplexity/model/kimi-k2.7-code"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/perplexity/model/kimi-k2.7-code.md"
---

# kimi-k2.7-code Cost Calculator - Perplexity

> Calculate the cost of using kimi-k2.7-code from Perplexity. Input costs $0.95 and output $4.00 per 1M tokens.

## Important Links

- [View MCP Gateway](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md)
- [Features](https://www.getmaxim.ai/bifrost/#features)
- [Enterprise](https://www.getmaxim.ai/bifrost/enterprise)
- [Pricing](https://www.getmaxim.ai/bifrost/pricing.md)
- [Docs](https://docs.getbifrost.ai)
- [GitHub](https://github.com/maximhq/bifrost)
- [Book a Demo](https://www.getmaxim.ai/bifrost/book-a-demo)

## About kimi-k2.7-code

kimi-k2.7-code is a responses model from Perplexity, one of 4 responses models they offer. It is priced at $0.95 per 1M input tokens and $4.00 per 1M output tokens, ranking 10 out of 64 responses models by cost and cheaper than 84% of models in this category. kimi-k2.7-code supports function calling, web search — one of only 2 responses models with this combination.

## Pricing

Published Perplexity pricing for kimi-k2.7-code.

- **$0.95 / 1M tokens Input.**
- **$4.00 / 1M tokens Output.**

## Technical Specifications

- **Responses Mode.**

## Model Capabilities

kimi-k2.7-code supports: Function Calling, Web Search.

## How Pricing Compares

At $0.95 per 1M input tokens and $4.00 per 1M output tokens, kimi-k2.7-code ranks 10 out of 64 responses models by input cost. It is more affordable compared to the median of $2.20 for responses models, and is cheaper than 84% of models in this category.

kimi-k2.7-code is one of 4 Perplexity responses models, one of only 2 responses models combining function calling, web search.

| Model | Provider | Input $/1M | Output $/1M | vs kimi-k2.7-code |
| --- | --- | --- | --- | --- |
| gpt-5-codex | OpenAI | $1.25 | $10.00 | +32% |
| gpt-5.1-codex | OpenAI | $1.25 | $10.00 | +32% |
| gpt-5.1-codex-max | OpenAI | $1.25 | $10.00 | +32% |
| gpt-5.2-codex | OpenAI | $1.75 | $14.00 | +84% |
| gpt-5.3-codex | OpenAI | $1.75 | $14.00 | +84% |

## More from Perplexity

- [glm-5.2 ($1.40/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/perplexity/model/glm-5.2.md)
- [deepseek-v4-flash-0731 ($0.13/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/perplexity/model/deepseek-v4-flash-0731.md)
- [kimi-k3 ($3.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/perplexity/model/kimi-k3.md)

## Related Resources

- [Perplexity status](https://www.getmaxim.ai/bifrost/provider-status/perplexity.md)
- [kimi-k2.7-code specifications](https://www.getmaxim.ai/bifrost/model-library/compare/perplexity/kimi-k2.7-code.md)
- [All Perplexity pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/perplexity.md)

## FAQ

### Is kimi-k2.7-code cheaper than gpt-5-codex?

Yes. kimi-k2.7-code costs $0.95 per 1M input tokens compared to gpt-5-codex's $1.25 per 1M input tokens, making it 32% more affordable. Both are responses 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 responses model?

kimi-k2.7-code input pricing is $0.95 per 1M tokens, which is 57% below the median of $2.20 for responses models. It ranks 10 out of 64 responses models by input cost, making it cheaper than 84% of models in this category. For output, it costs $4.00 per 1M tokens compared to the median of $14.00.

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

Among Perplexity's 4 responses models, kimi-k2.7-code ranks 2 by input cost. Its combination of function calling, web search is shared by only 1 other responses model.

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

The most comparable responses models to kimi-k2.7-code are: gpt-5-codex from OpenAI ($1.25/1M input tokens); gpt-5.1-codex from OpenAI ($1.25/1M input tokens); gpt-5.1-codex-max from OpenAI ($1.25/1M input tokens); gpt-5.2-codex from OpenAI ($1.75/1M 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 do I check if Perplexity is down?

You can monitor Perplexity service health in real time on the Bifrost Perplexity 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 $0.95 and generating 1M output tokens costs $4.00.

## Related Resources

- [All Perplexity pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/perplexity.md)
- [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md)
- [Model library](https://www.getmaxim.ai/bifrost/model-library.md)
- [Docs: Bifrost docs](https://docs.getbifrost.ai)
- [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost)
- [Pricing: Bifrost pricing](https://www.getmaxim.ai/bifrost/pricing.md)
- [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/bifrost/enterprise)
- [Book a Demo: Bifrost demo](https://www.getmaxim.ai/bifrost/book-a-demo)
- [Resources: Bifrost resources](https://www.getmaxim.ai/bifrost/resources.md)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/perplexity/model/kimi-k2.7-code](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/perplexity/model/kimi-k2.7-code) for AI/LLM consumption.*