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

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

Click Recalculate to update after making changes

Select AI Model

Kimi K3.1 Pro

Moonshot AIMax Context: 1,048,576 tokens
$2 / $10 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

$0.208500 Total Cost
$0.050000 Input Cost
$0.150000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
65,000Total Tokens
$0.003208Cost per 1K
311,751Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

12m 52s Processing Time
90 Tokens/Second
350ms Time to First Token
84 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 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.

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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%
#4

Gemini 3.1 Flash Lite
Google

$0.007344 (rounded ~ $0.01)
vs Kimi K3.1 Pro: ↓ 96.5%
#5

Mistral Large 3
Mistral AI

$0.009063
vs Kimi K3.1 Pro: ↓ 95.7%
#6

Gemini 3.5 Flash-Lite
Google

$0.011438 (rounded ~ $0.01)
vs Kimi K3.1 Pro: ↓ 94.5%
#7

Gemini 2.5 Flash
Google

$0.011438 (rounded ~ $0.01)
vs Kimi K3.1 Pro: ↓ 94.5%
#8

Gemini 3.8 Flash
Google

$0.019219
vs Kimi K3.1 Pro: ↓ 90.8%
#9

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.

Related model pricing

Kimi K3.1 Pro currently costs $2.00 / $10.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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