Kimi K2.7 Code Cost for Enterprise Engineering: 100K-Token Code Review Pipelines at 100M Monthly

Kimi K2.7 Code is no longer available

This model is deprecated. It may still respond for existing integrations, but it is no longer recommended for new work, and the figures below are retained as a historical record.

See current model pricing →

Complete Analysis: 102,000 tokens for Kimi K2.7 Code
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for Moonshot AI's Kimi K2.7 Code model with 50% Cached.

⚡ Caching Optimized (up to 83% savings)
$0.063575 (rounded ~ $0.06) Total Cost
102,000 Total Tokens
9 minutes, 22.56 seconds Processing Time
181 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Kimi K2.7 Code

Moonshot AIMax Context: 262,144 tokens
$0.95 / $4 per 1M tokens
50%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.

Calculate Token Costs

$0.063575 Total Cost
$0.047500 Input Cost
$0.008000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
102,000Total Tokens
$0.000623Cost per 1K
1,604,404Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

9m 22s Processing Time
185 Tokens/Second
235ms Time to First Token
181 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization

Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after

🧠 Reasoning & Thinking

Manual thinking tokens (billed at output rate)

🔧 Special Modes

📚 Research & Citations

Fee per source cited

🎤 Realtime Audio & Video

Session length for billing

Kimi K2.7 Code Moonshot AI

$0.063575 (rounded ~ $0.06)
Total Cost
⚡ 50% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✓ Available
83% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.103000 (rounded ~ $0.10) Input: $0.095000 (rounded ~ $0.10)
Output: $0.008000 (rounded ~ $0.01)
Optimized Cost $0.063575 (rounded ~ $0.06) Input: $0.095000 (rounded ~ $0.10)
Output: $0.008000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.039425 38.3% discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.095000 (rounded ~ $0.10)
  • Output Cost: $0.008000 (rounded ~ $0.01)
  • Total Cost: $0.063575 (rounded ~ $0.06)
  • Cost per 1K tokens: $0.000623
  • Tokens per dollar: 1,604,404 tokens
  • Context Window: 262144 tokens

Speed & Performance Analysis

With a processing speed of 185 tokens per second and 235ms time to first token:

  • Processing Time: 9 minutes, 22.56 seconds
  • Latency: 235 milliseconds to first token
  • Base Throughput: 185 tokens/second
  • Effective Throughput: 181 tokens/second (temperature-adjusted)

Best Use Cases

Automating code review and architectural analysis for large enterprise engineering teams at scale.

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✨ Market Recommendations AI Model Registry

← Back to Kimi K2.7 Code
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Kimi K2.7 Code
🏆 Claude Haiku 5.5
Anthropic
 $0.003250 Best Value ↓ 94.9% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.003250 ↓ 94.9% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.003350 ↓ 94.7% cheaper
#4 Gemini 3.1 Flash Lite
Google
 $0.004188 ↓ 93.4% cheaper
#5 Gemini 3.5 Flash-Lite
Google
 $0.005375 (rounded ~ $0.01) ↓ 91.5% cheaper
#6 Gemini 2.5 Flash
Google
 $0.005375 (rounded ~ $0.01) ↓ 91.5% cheaper
#7 Mistral Large 3
Mistral AI
 $0.007625 (rounded ~ $0.01) ↓ 88% cheaper
#8 Gemini 3.8 Flash
Google
 $0.012188 (rounded ~ $0.01) ↓ 80.8% cheaper
#9 Gemini 3.6 Flash
Google
 $0.012188 (rounded ~ $0.01) ↓ 80.8% cheaper
#10 GPT-5.4 mini
OpenAI
 $0.012563 (rounded ~ $0.01) ↓ 80.2% cheaper
#11 Claude Haiku 4.5
Anthropic
 $0.016250 (rounded ~ $0.02) ↓ 74.4% cheaper
#12 Gemini 3.1 Flash
Google
 $0.016750 (rounded ~ $0.02) ↓ 73.7% cheaper
#13 Mistral Large 4
Mistral AI
 $0.020790 ↓ 67.3% cheaper
#14 GPT-5.3 Codex Spark
OpenAI
 $0.031063 (rounded ~ $0.03) ↓ 51.1% cheaper
#15 GPT-5.3 Instant
OpenAI
 $0.031063 (rounded ~ $0.03) ↓ 51.1% cheaper
#16 Claude Sonnet 5.5
Anthropic
 $0.031250 (rounded ~ $0.03) ↓ 50.8% cheaper
#17 Claude Sonnet 5
Anthropic
 $0.032500 (rounded ~ $0.03) ↓ 48.9% cheaper
#18 Gemini 4 Argon
Google
 $0.032500 (rounded ~ $0.03) ↓ 48.9% cheaper
#19 GPT-5.6 Terra
OpenAI
 $0.033500 (rounded ~ $0.03) ↓ 47.3% cheaper
#20 Gemini 2.5 Pro
Google
 $0.044375 (rounded ~ $0.04) ↓ 30.2% cheaper
#21 Claude Sonnet 4.6
Anthropic
 $0.048750 (rounded ~ $0.05) ↓ 23.3% cheaper
#22 Grok 4.3
xAI
 $0.059000 (rounded ~ $0.06) ↓ 7.2% cheaper
#23 Grok 4.20 Beta
xAI
 $0.059000 (rounded ~ $0.06) ↓ 7.2% cheaper
#24 Claude Opus 5.5
Anthropic
 $0.062500 (rounded ~ $0.06) ↓ 1.7% cheaper
#25 GPT-6.1 Sol
OpenAI
 $0.065000 (rounded ~ $0.07) ↑ 2.2% more
#26 GPT-6 Sol
OpenAI
 $0.065000 (rounded ~ $0.07) ↑ 2.2% more
#27 GPT-5.6 Sol
OpenAI
 $0.065000 (rounded ~ $0.07) ↑ 2.2% more
#28 Gemini 3.1 Pro
Google
 $0.067000 (rounded ~ $0.07) ↑ 5.4% more
#29 Claude Opus 4.7
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 27.8% more
#30 Claude Opus 5
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 27.8% more
#31 Claude Opus 4.8
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 27.8% more
#32 Claude Opus 4.6
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 27.8% more
#33 GPT-5.4
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 31.7% more
#34 GPT-5.4 Thinking
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 31.7% more
#35 GPT-5.5 Instant
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 31.7% more
#36 Claude Fable 5.1
Anthropic
 $0.153125 (rounded ~ $0.15) ↑ 140.9% more
#37 Claude Mythos 5.1
Anthropic
 $0.153125 (rounded ~ $0.15) ↑ 140.9% more
#38 Claude Fable 5
Anthropic
 $0.162500 (rounded ~ $0.16) ↑ 155.6% more
#39 Claude Mythos 5
Anthropic
 $0.162500 (rounded ~ $0.16) ↑ 155.6% more
#40 GPT-5.5
OpenAI
 $0.167500 (rounded ~ $0.17) ↑ 163.5% more
#41 GPT-6 Astra
OpenAI
 $0.325000 (rounded ~ $0.33) ↑ 411.2% more
#42 GPT-5.2 Pro
OpenAI
 $0.372750 (rounded ~ $0.37) ↑ 486.3% more
#43 GPT-5.2 Pro
OpenAI
 $0.372750 (rounded ~ $0.37) ↑ 486.3% more
🏆

Claude Haiku 5.5
Anthropic

$0.003250
vs Kimi K2.7 Code: ↓ 94.9%
🥈

GPT-6 Luna
OpenAI

$0.003250
vs Kimi K2.7 Code: ↓ 94.9%
🥉

GPT-5.6 Luna
OpenAI

$0.003350
vs Kimi K2.7 Code: ↓ 94.7%
#4

Gemini 3.1 Flash Lite
Google

$0.004188
vs Kimi K2.7 Code: ↓ 93.4%
#5

Gemini 3.5 Flash-Lite
Google

$0.005375 (rounded ~ $0.01)
vs Kimi K2.7 Code: ↓ 91.5%
#6

Gemini 2.5 Flash
Google

$0.005375 (rounded ~ $0.01)
vs Kimi K2.7 Code: ↓ 91.5%
#7

Mistral Large 3
Mistral AI

$0.007625 (rounded ~ $0.01)
vs Kimi K2.7 Code: ↓ 88%
#8

Gemini 3.8 Flash
Google

$0.012188 (rounded ~ $0.01)
vs Kimi K2.7 Code: ↓ 80.8%
#9

Gemini 3.6 Flash
Google

$0.012188 (rounded ~ $0.01)
vs Kimi K2.7 Code: ↓ 80.8%
#10

GPT-5.4 mini
OpenAI

$0.012563 (rounded ~ $0.01)
vs Kimi K2.7 Code: ↓ 80.2%
#11

Claude Haiku 4.5
Anthropic

$0.016250 (rounded ~ $0.02)
vs Kimi K2.7 Code: ↓ 74.4%
#12

Gemini 3.1 Flash
Google

$0.016750 (rounded ~ $0.02)
vs Kimi K2.7 Code: ↓ 73.7%
#13

Mistral Large 4
Mistral AI

$0.020790
vs Kimi K2.7 Code: ↓ 67.3%
#14

GPT-5.3 Codex Spark
OpenAI

$0.031063 (rounded ~ $0.03)
vs Kimi K2.7 Code: ↓ 51.1%
#15

GPT-5.3 Instant
OpenAI

$0.031063 (rounded ~ $0.03)
vs Kimi K2.7 Code: ↓ 51.1%
#16

Claude Sonnet 5.5
Anthropic

$0.031250 (rounded ~ $0.03)
vs Kimi K2.7 Code: ↓ 50.8%
#17

Claude Sonnet 5
Anthropic

$0.032500 (rounded ~ $0.03)
vs Kimi K2.7 Code: ↓ 48.9%
#18

Gemini 4 Argon
Google

$0.032500 (rounded ~ $0.03)
vs Kimi K2.7 Code: ↓ 48.9%
#19

GPT-5.6 Terra
OpenAI

$0.033500 (rounded ~ $0.03)
vs Kimi K2.7 Code: ↓ 47.3%
#20

Gemini 2.5 Pro
Google

$0.044375 (rounded ~ $0.04)
vs Kimi K2.7 Code: ↓ 30.2%
#21

Claude Sonnet 4.6
Anthropic

$0.048750 (rounded ~ $0.05)
vs Kimi K2.7 Code: ↓ 23.3%
#22

Grok 4.3
xAI

$0.059000 (rounded ~ $0.06)
vs Kimi K2.7 Code: ↓ 7.2%
#23

Grok 4.20 Beta
xAI

$0.059000 (rounded ~ $0.06)
vs Kimi K2.7 Code: ↓ 7.2%
#24

Claude Opus 5.5
Anthropic

$0.062500 (rounded ~ $0.06)
vs Kimi K2.7 Code: ↓ 1.7%
#25

GPT-6.1 Sol
OpenAI

$0.065000 (rounded ~ $0.07)
vs Kimi K2.7 Code: ↑ 2.2%
#26

GPT-6 Sol
OpenAI

$0.065000 (rounded ~ $0.07)
vs Kimi K2.7 Code: ↑ 2.2%
#27

GPT-5.6 Sol
OpenAI

$0.065000 (rounded ~ $0.07)
vs Kimi K2.7 Code: ↑ 2.2%
#28

Gemini 3.1 Pro
Google

$0.067000 (rounded ~ $0.07)
vs Kimi K2.7 Code: ↑ 5.4%
#29

Claude Opus 4.7
Anthropic

$0.081250 (rounded ~ $0.08)
vs Kimi K2.7 Code: ↑ 27.8%
#30

Claude Opus 5
Anthropic

$0.081250 (rounded ~ $0.08)
vs Kimi K2.7 Code: ↑ 27.8%
#31

Claude Opus 4.8
Anthropic

$0.081250 (rounded ~ $0.08)
vs Kimi K2.7 Code: ↑ 27.8%
#32

Claude Opus 4.6
Anthropic

$0.081250 (rounded ~ $0.08)
vs Kimi K2.7 Code: ↑ 27.8%
#33

GPT-5.4
OpenAI

$0.083750 (rounded ~ $0.08)
vs Kimi K2.7 Code: ↑ 31.7%
#34

GPT-5.4 Thinking
OpenAI

$0.083750 (rounded ~ $0.08)
vs Kimi K2.7 Code: ↑ 31.7%
#35

GPT-5.5 Instant
OpenAI

$0.083750 (rounded ~ $0.08)
vs Kimi K2.7 Code: ↑ 31.7%
#36

Claude Fable 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs Kimi K2.7 Code: ↑ 140.9%
#37

Claude Mythos 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs Kimi K2.7 Code: ↑ 140.9%
#38

Claude Fable 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Kimi K2.7 Code: ↑ 155.6%
#39

Claude Mythos 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Kimi K2.7 Code: ↑ 155.6%
#40

GPT-5.5
OpenAI

$0.167500 (rounded ~ $0.17)
vs Kimi K2.7 Code: ↑ 163.5%
#41

GPT-6 Astra
OpenAI

$0.325000 (rounded ~ $0.33)
vs Kimi K2.7 Code: ↑ 411.2%
#42

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Kimi K2.7 Code: ↑ 486.3%
#43

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Kimi K2.7 Code: ↑ 486.3%
✨ How recommendations work (v8.6.0): We scan all active models in the registry and only include those that support ALL your current inputs. For token-based models, we check if they can handle your token counts. For special pricing models (OCR, video, audio), we verify they have the correct pricing structure. Features marked requested were in your inputs but not supported by that model. Now using official provider pricing without reseller markups.

For large-scale enterprise engineering teams, managing pull request reviews across hundreds of thousands of lines of code is a significant bottleneck. Kimi K2.7 Code is designed specifically for these high-throughput, agentic coding environments. Unlike general-purpose models, it excels at navigating complex repository structures, identifying architectural regressions, and adhering to strict internal coding standards across massive diffs.

For publishers and platform leads overseeing CI/CD pipelines at an enterprise scale—where 100M tokens per month is a typical workload—choosing a model that balances reasoning depth with cost-efficiency is critical. Kimi K2.7 Code offers a specialized approach to code-heavy tasks, effectively acting as a first-line reviewer that filters noise and highlights high-risk changes before they reach a human engineer.

What makes this model particularly valuable for enterprise architects is its integration into agentic workflows. By offloading initial code reviews to a model optimized for long-context comprehension, teams can significantly reduce human reviewer fatigue and shorten the development cycle. Furthermore, its ability to utilize tools makes it a versatile component in automated testing suites.

In a high-volume production setup, the key is consistency. Kimi K2.7 Code’s instruction-following capabilities across long-horizon coding tasks ensure that the feedback remains actionable and aligned with the codebase’s history. When evaluating your AI coding infrastructure, consider this model for workflows that demand reliability and deep contextual understanding without the overhead of the largest flagship models.

Frequently Asked Questions

How accurate are these AI model cost calculations?
Our calculations are based on official pricing from each provider (Google, OpenAI, Anthropic, Meta, xAI, Perplexity, DeepSeek, Mistral) and are updated regularly. We account for all factors including multimodal inputs, caching discounts, batch API pricing, tool usage multipliers, OCR processing, audio minutes, silence fees, and research mode pricing. Note: Reseller markups and dedicated instance multipliers have been removed to reflect official provider pricing.
How does prompt caching work?
Caching discounts vary by provider: Google and OpenAI offer 90% discounts on cached input tokens. Anthropic uses write (1.25x) and read (0.10x) multipliers. Savings are applied to the token portion only, not unit-based fees.
How do Market Recommendations work (v8.6.0)?
Our recommendation engine scans the entire model registry and only includes models that support ALL your current input parameters (tokens, images, video, audio, OCR, tools, batch API, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options that can handle your complete workflow. Special pricing models (OCR, video, audio, image generation) are properly handled and only appear when their specific input types are requested. v8.6.0 removes reseller markups (20% buffer) and dedicated instance multipliers to reflect official provider pricing.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 50+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), provides optimization recommendations, and now offers intelligent market matching to find the best alternatives for your specific needs.

Related model pricing

Kimi K2.7 Code currently costs $0.95 / $4.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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