What are cached tokens and how do they save money?

Cached tokens are repeated input tokens (like system prompts or conversation history) that providers charge at a discounted rate. Moonshot AI offers varying discounts for cached tokens (typically 50-80%). Your calculation saves money by applying caching to 50% of input tokens for optimized cost savings.

When should I use Batch API vs real-time API?

Use Batch API for non-realtime processing of large volumes where latency isn't critical (saves up to 40-60%). Use real-time API for interactive applications like chatbots. Batch processing is ideal for data analysis, content generation in bulk, and offline processing.

Kimi K3.1 Pro Pricing for Scientific Research: 65K-Token Paper Drafting

Name: Kimi K3.1 Pro
Brand: Moonshot AI
Price: 0.21 USD
Availability: InStock
Rating: 4.5 (89 reviews)

Complete Analysis: 65,000 tokens for Kimi K3.1 Pro

⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for Moonshot AI's Kimi K3.1 Pro model with 50% Cached.

⚡ Caching Optimized (up to 83% savings)

$0.208500 (rounded ~ $0.21) Total Cost

65,000 Total Tokens

12 minutes, 52.96 seconds Processing Time

84 Effective Tokens/Sec

Kimi K3.1 Pro Moonshot AI 1048576

$0.208500 (rounded ~ $0.21)

Total Cost

⚡ 50% Cached 📊 Batch API 🔧 Tools

👁️

Vision/Images

✗ Not 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) $0.250000 Input: $0.100000
Output: $0.150000

Optimized Cost $0.208500 (rounded ~ $0.21) Input: $0.100000
Output: $0.150000
Unit: $0.000000
Fees: $0.000000

Total Savings $0.041500 (rounded ~ $0.04) 16.6% discount

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 15,000 output tokens:

Input Cost: $0.100000
Output Cost: $0.150000
Total Cost: $0.208500 (rounded ~ $0.21)
Cost per 1K tokens: $0.003208
Tokens per dollar: 311,751 tokens
Context Window: 1048576 tokens

Speed & Performance Analysis

With a processing speed of 90 tokens per second and 350ms time to first token:

Processing Time: 12 minutes, 52.96 seconds
Latency: 350 milliseconds to first token
Base Throughput: 90 tokens/second
Effective Throughput: 84 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for complex research pipelines requiring high-accuracy synthesis of long-form source documents and multi-step reasoning.

Want this applied to YOUR actual stack?

This calculator shows the math for Kimi K3.1 Pro. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

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✨ Market Recommendations AI Model Registry

← Back to Kimi K3.1 Pro

📋 Active Input Parameters

Input Tokens: 50,000

Output Tokens: 15,000

Batch API: Enabled (50% discount)

Cached Tokens: 50%

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs Kimi K3.1 Pro
🏆	Claude Haiku 5.5 Anthropic	$0.005125 (rounded ~ $0.01) Best Value	↓ 97.5% cheaper
🥈	GPT-6 Luna OpenAI	$0.005125 (rounded ~ $0.01)	↓ 97.5% cheaper
🥉	GPT-5.6 Luna OpenAI	$0.005875 (rounded ~ $0.01)	↓ 97.2% cheaper
#4	Gemini 3.1 Flash Lite Google	$0.007344 (rounded ~ $0.01)	↓ 96.5% cheaper
#5	Mistral Large 3 Mistral AI	$0.009063	↓ 95.7% cheaper
#6	Gemini 3.5 Flash-Lite Google	$0.011438 (rounded ~ $0.01)	↓ 94.5% cheaper
#7	Gemini 2.5 Flash Google	$0.011438 (rounded ~ $0.01)	↓ 94.5% cheaper
#8	Gemini 3.8 Flash Google	$0.019219	↓ 90.8% cheaper
#9	Gemini 3.6 Flash Google	$0.019219	↓ 90.8% cheaper
#10	GPT-5.4 mini OpenAI	$0.022031 (rounded ~ $0.02)	↓ 89.4% cheaper
#11	Mistral Large 4 Mistral AI	$0.025025 (rounded ~ $0.03)	↓ 88% cheaper
#12	Claude Haiku 4.5 Anthropic	$0.025625 (rounded ~ $0.03)	↓ 87.7% cheaper
#13	Gemini 3.1 Flash Google	$0.029375	↓ 85.9% cheaper
#14	Claude Sonnet 5.5 Anthropic	$0.050625	↓ 75.7% cheaper
#15	Gemini 4 Argon Google	$0.051250 (rounded ~ $0.05)	↓ 75.4% cheaper
#16	Claude Sonnet 5 Anthropic	$0.051250 (rounded ~ $0.05)	↓ 75.4% cheaper
#17	Grok 4.3 xAI	$0.057500 (rounded ~ $0.06)	↓ 72.4% cheaper
#18	Grok 4.20 Beta xAI	$0.057500 (rounded ~ $0.06)	↓ 72.4% cheaper
#19	GPT-5.6 Terra OpenAI	$0.058750 (rounded ~ $0.06)	↓ 71.8% cheaper
#20	GPT-5.3 Codex Spark OpenAI	$0.064531 (rounded ~ $0.06)	↓ 69% cheaper
#21	GPT-5.3 Instant OpenAI	$0.064531 (rounded ~ $0.06)	↓ 69% cheaper
#22	Claude Sonnet 4.6 Anthropic	$0.076875 (rounded ~ $0.08)	↓ 63.1% cheaper
#23	Gemini 2.5 Pro Google	$0.092188 (rounded ~ $0.09)	↓ 55.8% cheaper
#24	Claude Opus 5.5 Anthropic	$0.101250 (rounded ~ $0.10)	↓ 51.4% cheaper
#25	GPT-6.1 Sol OpenAI	$0.102500 (rounded ~ $0.10)	↓ 50.8% cheaper
#26	GPT-6 Sol OpenAI	$0.102500 (rounded ~ $0.10)	↓ 50.8% cheaper
#27	GPT-5.6 Sol OpenAI	$0.102500 (rounded ~ $0.10)	↓ 50.8% cheaper
#28	Gemini 3.1 Pro Google	$0.117500 (rounded ~ $0.12)	↓ 43.6% cheaper
#29	Claude Opus 4.7 Anthropic	$0.128125 (rounded ~ $0.13)	↓ 38.5% cheaper
#30	Claude Opus 5 Anthropic	$0.128125 (rounded ~ $0.13)	↓ 38.5% cheaper
#31	Claude Opus 4.8 Anthropic	$0.128125 (rounded ~ $0.13)	↓ 38.5% cheaper
#32	Claude Opus 4.6 Anthropic	$0.128125 (rounded ~ $0.13)	↓ 38.5% cheaper
#33	GPT-5.4 OpenAI	$0.146875 (rounded ~ $0.15)	↓ 29.6% cheaper
#34	GPT-5.4 Thinking OpenAI	$0.146875 (rounded ~ $0.15)	↓ 29.6% cheaper
#35	GPT-5.5 Instant OpenAI	$0.146875 (rounded ~ $0.15)	↓ 29.6% cheaper
#36	Claude Fable 5.1 Anthropic	$0.251563 (rounded ~ $0.25)	↑ 20.7% more
#37	Claude Mythos 5.1 Anthropic	$0.251563 (rounded ~ $0.25)	↑ 20.7% more
#38	Claude Fable 5 Anthropic	$0.256250 (rounded ~ $0.26)	↑ 22.9% more
#39	Claude Mythos 5 Anthropic	$0.256250 (rounded ~ $0.26)	↑ 22.9% more
#40	GPT-5.5 OpenAI	$0.293750 (rounded ~ $0.29)	↑ 40.9% more
#41	GPT-6 Astra OpenAI	$0.512500 (rounded ~ $0.51)	↑ 145.8% more
#42	GPT-5.2 Pro OpenAI	$0.774375 (rounded ~ $0.77)	↑ 271.4% more
#43	GPT-5.2 Pro OpenAI	$0.774375 (rounded ~ $0.77)	↑ 271.4% more

🏆

Claude Haiku 5.5
Anthropic

$0.005125 (rounded ~ $0.01)

vs Kimi K3.1 Pro: ↓ 97.5%

🥈

GPT-6 Luna
OpenAI

$0.005125 (rounded ~ $0.01)

vs Kimi K3.1 Pro: ↓ 97.5%

🥉

GPT-5.6 Luna
OpenAI

$0.005875 (rounded ~ $0.01)

vs Kimi K3.1 Pro: ↓ 97.2%

Gemini 3.1 Flash Lite
Google

$0.007344 (rounded ~ $0.01)

vs Kimi K3.1 Pro: ↓ 96.5%

Mistral Large 3
Mistral AI

$0.009063

vs Kimi K3.1 Pro: ↓ 95.7%

Gemini 3.5 Flash-Lite
Google

$0.011438 (rounded ~ $0.01)

vs Kimi K3.1 Pro: ↓ 94.5%

Gemini 2.5 Flash
Google

$0.011438 (rounded ~ $0.01)

vs Kimi K3.1 Pro: ↓ 94.5%

Gemini 3.8 Flash
Google

$0.019219

vs Kimi K3.1 Pro: ↓ 90.8%

Gemini 3.6 Flash
Google

$0.019219

vs Kimi K3.1 Pro: ↓ 90.8%

#10

GPT-5.4 mini
OpenAI

$0.022031 (rounded ~ $0.02)

vs Kimi K3.1 Pro: ↓ 89.4%

#11

Mistral Large 4
Mistral AI

$0.025025 (rounded ~ $0.03)

vs Kimi K3.1 Pro: ↓ 88%

#12

Claude Haiku 4.5
Anthropic

$0.025625 (rounded ~ $0.03)

vs Kimi K3.1 Pro: ↓ 87.7%

#13

Gemini 3.1 Flash
Google

$0.029375

vs Kimi K3.1 Pro: ↓ 85.9%

#14

Claude Sonnet 5.5
Anthropic

$0.050625

vs Kimi K3.1 Pro: ↓ 75.7%

#15

Gemini 4 Argon
Google

$0.051250 (rounded ~ $0.05)

vs Kimi K3.1 Pro: ↓ 75.4%

#16

Claude Sonnet 5
Anthropic

$0.051250 (rounded ~ $0.05)

vs Kimi K3.1 Pro: ↓ 75.4%

#17

Grok 4.3
xAI

$0.057500 (rounded ~ $0.06)

vs Kimi K3.1 Pro: ↓ 72.4%

#18

Grok 4.20 Beta
xAI

$0.057500 (rounded ~ $0.06)

vs Kimi K3.1 Pro: ↓ 72.4%

#19

GPT-5.6 Terra
OpenAI

$0.058750 (rounded ~ $0.06)

vs Kimi K3.1 Pro: ↓ 71.8%

#20

GPT-5.3 Codex Spark
OpenAI

$0.064531 (rounded ~ $0.06)

vs Kimi K3.1 Pro: ↓ 69%

#21

GPT-5.3 Instant
OpenAI

$0.064531 (rounded ~ $0.06)

vs Kimi K3.1 Pro: ↓ 69%

#22

Claude Sonnet 4.6
Anthropic

$0.076875 (rounded ~ $0.08)

vs Kimi K3.1 Pro: ↓ 63.1%

#23

Gemini 2.5 Pro
Google

$0.092188 (rounded ~ $0.09)

vs Kimi K3.1 Pro: ↓ 55.8%

#24

Claude Opus 5.5
Anthropic

$0.101250 (rounded ~ $0.10)

vs Kimi K3.1 Pro: ↓ 51.4%

#25

GPT-6.1 Sol
OpenAI

$0.102500 (rounded ~ $0.10)

vs Kimi K3.1 Pro: ↓ 50.8%

#26

GPT-6 Sol
OpenAI

$0.102500 (rounded ~ $0.10)

vs Kimi K3.1 Pro: ↓ 50.8%

#27

GPT-5.6 Sol
OpenAI

$0.102500 (rounded ~ $0.10)

vs Kimi K3.1 Pro: ↓ 50.8%

#28

Gemini 3.1 Pro
Google

$0.117500 (rounded ~ $0.12)

vs Kimi K3.1 Pro: ↓ 43.6%

#29

Claude Opus 4.7
Anthropic

$0.128125 (rounded ~ $0.13)

vs Kimi K3.1 Pro: ↓ 38.5%

#30

Claude Opus 5
Anthropic

$0.128125 (rounded ~ $0.13)

vs Kimi K3.1 Pro: ↓ 38.5%

#31

Claude Opus 4.8
Anthropic

$0.128125 (rounded ~ $0.13)

vs Kimi K3.1 Pro: ↓ 38.5%

#32

Claude Opus 4.6
Anthropic

$0.128125 (rounded ~ $0.13)

vs Kimi K3.1 Pro: ↓ 38.5%

#33

GPT-5.4
OpenAI

$0.146875 (rounded ~ $0.15)

vs Kimi K3.1 Pro: ↓ 29.6%

#34

GPT-5.4 Thinking
OpenAI

$0.146875 (rounded ~ $0.15)

vs Kimi K3.1 Pro: ↓ 29.6%

#35

GPT-5.5 Instant
OpenAI

$0.146875 (rounded ~ $0.15)

vs Kimi K3.1 Pro: ↓ 29.6%

#36

Claude Fable 5.1
Anthropic

$0.251563 (rounded ~ $0.25)

vs Kimi K3.1 Pro: ↑ 20.7%

#37

Claude Mythos 5.1
Anthropic

$0.251563 (rounded ~ $0.25)

vs Kimi K3.1 Pro: ↑ 20.7%

#38

Claude Fable 5
Anthropic

$0.256250 (rounded ~ $0.26)

vs Kimi K3.1 Pro: ↑ 22.9%

#39

Claude Mythos 5
Anthropic

$0.256250 (rounded ~ $0.26)

vs Kimi K3.1 Pro: ↑ 22.9%

#40

GPT-5.5
OpenAI

$0.293750 (rounded ~ $0.29)

vs Kimi K3.1 Pro: ↑ 40.9%

#41

GPT-6 Astra
OpenAI

$0.512500 (rounded ~ $0.51)

vs Kimi K3.1 Pro: ↑ 145.8%

#42

GPT-5.2 Pro
OpenAI

$0.774375 (rounded ~ $0.77)

vs Kimi K3.1 Pro: ↑ 271.4%

#43

GPT-5.2 Pro
OpenAI

$0.774375 (rounded ~ $0.77)

vs Kimi K3.1 Pro: ↑ 271.4%

✨ 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.

Optimizing Scientific Research Workflows

Scientific research demands a rare combination of reasoning depth, citation accuracy, and structural precision. For analysts and research teams building automated drafting tools, Kimi K3.1 Pro offers a compelling balance of agentic capabilities and context management. When processing extensive literature reviews, the model’s ability to maintain coherence across lengthy input sequences ensures that synthesized insights remain grounded in the source material rather than drifting into generic summaries.

Unlike general-purpose models, Kimi K3.1 Pro is optimized for tasks where precision in citation and structural logic is paramount. In research paper drafting, where you are balancing 50,000 tokens of source material against a 15,000-token draft, the model’s thinking capabilities allow it to perform multi-step synthesis before outputting the final text. This capability reduces the need for the iterative, prompt-heavy workflows that are often a bottleneck in academic automation.

From an engineering perspective, the integration of native tools and advanced reasoning allows this model to perform web-based fact-checking, which is vital for maintaining the integrity of research outputs. While many models struggle with the nuance of formal academic tone, this model demonstrates strong adherence to rigorous stylistic constraints. For teams managing high-volume research pipelines, the model’s reliability in handling large, dense documents makes it a strong candidate for applications looking to scale content production without sacrificing the depth required for high-quality peer review. Data analysts should prioritize this model when the research workload requires a blend of reasoning and long-context comprehension, particularly in environments where hallucination mitigation is the primary KPI.

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.

Kimi K3.1 Pro Pricing for Scientific Research: 65K-Token Paper Drafting

Select AI Model

Kimi K3.1 Pro

Calculate Token Costs

📊 Advanced Cost Breakdown

Processing Speed

Model Comparison

Model Information

🔄 Advanced Options

⚡ Optimization

🧠 Reasoning & Thinking

🔧 Special Modes

📚 Research & Citations

🎤 Realtime Audio & Video

Kimi K3.1 Pro Moonshot AI 1048576

💰 Total Cost Calculation (from Plugin)

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

✨ Market Recommendations AI Model Registry

Claude Haiku 5.5 Anthropic

GPT-6 Luna OpenAI

GPT-5.6 Luna OpenAI

Gemini 3.1 Flash Lite Google

Mistral Large 3 Mistral AI

Gemini 3.5 Flash-Lite Google

Gemini 2.5 Flash Google

Gemini 3.8 Flash Google

Gemini 3.6 Flash Google

GPT-5.4 mini OpenAI

Mistral Large 4 Mistral AI

Claude Haiku 4.5 Anthropic

Gemini 3.1 Flash Google

Claude Sonnet 5.5 Anthropic

Gemini 4 Argon Google

Claude Sonnet 5 Anthropic

Grok 4.3 xAI

Grok 4.20 Beta xAI

GPT-5.6 Terra OpenAI

GPT-5.3 Codex Spark OpenAI

GPT-5.3 Instant OpenAI

Claude Sonnet 4.6 Anthropic

Gemini 2.5 Pro Google

Claude Opus 5.5 Anthropic

GPT-6.1 Sol OpenAI

GPT-6 Sol OpenAI

GPT-5.6 Sol OpenAI

Gemini 3.1 Pro Google

Claude Opus 4.7 Anthropic

Claude Opus 5 Anthropic

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

GPT-5.4 OpenAI

GPT-5.4 Thinking OpenAI

GPT-5.5 Instant OpenAI

Claude Fable 5.1 Anthropic

Claude Mythos 5.1 Anthropic

Claude Fable 5 Anthropic

Claude Mythos 5 Anthropic

GPT-5.5 OpenAI

GPT-6 Astra OpenAI

GPT-5.2 Pro OpenAI

GPT-5.2 Pro OpenAI

Optimizing Scientific Research Workflows

Frequently Asked Questions

Related model pricing

Compare across providers

Other models from the same provider

Claude Haiku 5.5
Anthropic

GPT-6 Luna
OpenAI

GPT-5.6 Luna
OpenAI

Gemini 3.1 Flash Lite
Google

Mistral Large 3
Mistral AI

Gemini 3.5 Flash-Lite
Google

Gemini 2.5 Flash
Google

Gemini 3.8 Flash
Google

Gemini 3.6 Flash
Google

GPT-5.4 mini
OpenAI

Mistral Large 4
Mistral AI

Claude Haiku 4.5
Anthropic

Gemini 3.1 Flash
Google

Claude Sonnet 5.5
Anthropic

Gemini 4 Argon
Google

Claude Sonnet 5
Anthropic

Grok 4.3
xAI

Grok 4.20 Beta
xAI

GPT-5.6 Terra
OpenAI

GPT-5.3 Codex Spark
OpenAI

GPT-5.3 Instant
OpenAI

Claude Sonnet 4.6
Anthropic

Gemini 2.5 Pro
Google

Claude Opus 5.5
Anthropic

GPT-6.1 Sol
OpenAI

GPT-6 Sol
OpenAI

GPT-5.6 Sol
OpenAI

Gemini 3.1 Pro
Google

Claude Opus 4.7
Anthropic

Claude Opus 5
Anthropic

Claude Opus 4.8
Anthropic

Claude Opus 4.6
Anthropic

GPT-5.4
OpenAI

GPT-5.4 Thinking
OpenAI

GPT-5.5 Instant
OpenAI

Claude Fable 5.1
Anthropic

Claude Mythos 5.1
Anthropic

Claude Fable 5
Anthropic

Claude Mythos 5
Anthropic

GPT-5.5
OpenAI

GPT-6 Astra
OpenAI

GPT-5.2 Pro
OpenAI

GPT-5.2 Pro
OpenAI