Enterprise RAG Knowledge Base: Gemini 3.1 Pro (Tier 2)

Gemini 3.1 Pro vs DeepSeek V4 (Engram)
Complete Comparison: 25,000 input tokens × 5,000 output tokens
Comparison Mode
⚡ 30% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 30% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.1 Pro
Google
DeepSeek V4 (Engram)
DeepSeek
Calculation Results (Current Inputs) (30% cached)
Input Tokens 25,000 25,000
Output Tokens 5,000 5,000
Cost Breakdown
Input Cost $0.025000 (rounded ~ 0.03)Worst $0.003308 (rounded ~ 0.00)Best
Output Cost $0.030000Worst $0.002695 (rounded ~ 0.00)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.048250 (rounded ~ 0.05) Most Expensive $0.005109 (rounded ~ 0.01) Best Value
Processing Time 1 minute, 20.00 seconds Slowest 53.68 seconds Fastest
Tokens per Second 400Slowest 600Fastest
Time to First Token 220ms Worst 95ms Best
Cost per 1K tokens $0.001608 (rounded ~ 0.00)Worst $0.000170Best
Tokens per Dollar 621,762Worst Value 5,871,445Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.000000Worst $0.132300 (rounded ~ 0.13)Best
Output Cost / 1M (Base) $6.000000Worst $0.539000 (rounded ~ 0.54)Best
Input Cost / 1M (Optimized) $0.500000Worst
Optimizations: 50.0% batch
$0.092610 (rounded ~ 0.09)Best
Optimizations: 30.0% batch
Output Cost / 1M (Optimized) $3.000000Worst
Optimizations: 50.0% batch
$0.377300 (rounded ~ 0.38)Best
Optimizations: 30.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✗ Not Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support
30
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Gemini 3.1 Pro
GoogleMax Context: 2,000,000 tokens
$2 / $12 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
▼
▼
Use Batch API (50% discount)
30%
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

$0.048250 Total Cost
$0.017500 Input Cost
$0.030000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
30,000Total Tokens
$0.001608Cost per 1K
621,762Tokens per $
🔄 Dynamic Tier Pricing Active: Using Standard pricing (tier1) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

1m 20s Processing Time
400 Tokens/Second
220ms Time to First Token
374 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
Apply 1.5x multiplier to output tokens (GPT-5.4, Claude 4.6)
Manual thinking tokens (billed at output rate)
🔧 Special Modes
Enable 4x Tunnel Multiplier (applied after markup)
Enable 6.0x Fast Mode multiplier
📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited
🎤 Realtime Audio & Video
Session length for billing
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Gemini 3.1 Pro Google 2000000

$0.048250 (rounded ~ 0.05)
Total Cost
⚡ 30% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.055000 (rounded ~ 0.06) Input: $0.025000 (rounded ~ 0.03)
Output: $0.030000
Optimized Cost $0.048250 (rounded ~ 0.05) Input: $0.025000 (rounded ~ 0.03)
Output: $0.030000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.006750 (rounded ~ 0.01) 12.3% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Standard
tier1 pricing based on 0 tokens

Detailed Cost Analysis (from Plugin)

For 25,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.025000 (rounded ~ 0.03)
  • Output Cost: $0.030000
  • Total Cost: $0.048250 (rounded ~ 0.05)
  • Cost per 1K tokens: $0.001608 (rounded ~ 0.00)
  • Tokens per dollar: 621,762 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 220ms time to first token:

  • Processing Time: 1 minute, 20.00 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Building internal brains with millions of tokens of context.

DeepSeek V4 (Engram) DeepSeek 1000000

$0.005109 (rounded ~ 0.01)
Total Cost
⚡ 30% 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
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.006003 (rounded ~ 0.01) Input: $0.003308 (rounded ~ 0.00)
Output: $0.002695 (rounded ~ 0.00)
Optimized Cost $0.005109 (rounded ~ 0.01) Input: $0.003308 (rounded ~ 0.00)
Output: $0.002695 (rounded ~ 0.00)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000893 14.9% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
30.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 25,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.003308 (rounded ~ 0.00)
  • Output Cost: $0.002695 (rounded ~ 0.00)
  • Total Cost: $0.005109 (rounded ~ 0.01)
  • Cost per 1K tokens: $0.000170
  • Tokens per dollar: 5,871,445 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 600 tokens per second and 95ms time to first token:

  • Processing Time: 53.00 seconds
  • Latency: 95 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 561 tokens/second (temperature-adjusted)

Best Use Cases

Building internal brains with millions of tokens of context.

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Pro
📋 Active Input Parameters
Input Tokens: 25,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Pro vs DeepSeek V4 (Engram)
🏆 Mistral Small 3
Mistral AI
 $0.000831 Best Value ↓ 98.3% cheaper ↓ 83.7% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.001913 (rounded ~ 0.00) ↓ 96% cheaper ↓ 62.6% cheaper
🥉 o4-mini Deep Research
OpenAI
 $0.009563 ↓ 80.2% cheaper ↑ 87.2% more
#4 o4-mini
OpenAI
 $0.010519 ↓ 78.2% cheaper ↑ 105.9% more
#5 Mistral Large 3
Mistral AI
 $0.016625 (rounded ~ 0.02) ↓ 65.5% cheaper ↑ 225.4% more
#6 GPT-5.3 Codex Spark
OpenAI
 $0.025484 (rounded ~ 0.03) ↓ 47.2% cheaper ↑ 398.8% more
#7 Grok 5
xAI
 $0.032438 (rounded ~ 0.03) ↓ 32.8% cheaper ↑ 534.8% more
#8 GPT-5.4 Thinking
OpenAI
 $0.060313 ↑ 25% more ↑ 1080.4% more
#9 Claude Sonnet 4.6
Anthropic
 $0.064313 (rounded ~ 0.06) ↑ 33.3% more ↑ 1158.7% more
#10 o3 Deep Research
OpenAI
 $0.095625 (rounded ~ 0.10) ↑ 98.2% more ↑ 1771.5% more
#11 Claude Opus 4.6
Anthropic
 $0.107188 (rounded ~ 0.11) ↑ 122.2% more ↑ 1997.8% more
#12 o3 Pro
OpenAI
 $0.191250 (rounded ~ 0.19) ↑ 296.4% more ↑ 3643% more
#13 GPT-5.2 Pro
OpenAI
 $0.305813 (rounded ~ 0.31) ↑ 533.8% more ↑ 5885.2% more
#14 GPT-5.2 Pro
OpenAI
 $0.305813 (rounded ~ 0.31) ↑ 533.8% more ↑ 5885.2% more
🏆

Mistral Small 3
Mistral AI

$0.000831
vs Gemini 3.1 Pro: ↓ 98.3%
vs DeepSeek V4 (Engram): ↓ 83.7%
🥈

Gemini 3.1 Flash Lite
Google

$0.001913 (rounded ~ 0.00)
vs Gemini 3.1 Pro: ↓ 96%
vs DeepSeek V4 (Engram): ↓ 62.6%
🥉

o4-mini Deep Research
OpenAI

$0.009563
vs Gemini 3.1 Pro: ↓ 80.2%
vs DeepSeek V4 (Engram): ↑ 87.2%
#4

o4-mini
OpenAI

$0.010519
vs Gemini 3.1 Pro: ↓ 78.2%
vs DeepSeek V4 (Engram): ↑ 105.9%
#5

Mistral Large 3
Mistral AI

$0.016625 (rounded ~ 0.02)
vs Gemini 3.1 Pro: ↓ 65.5%
vs DeepSeek V4 (Engram): ↑ 225.4%
#6

GPT-5.3 Codex Spark
OpenAI

$0.025484 (rounded ~ 0.03)
vs Gemini 3.1 Pro: ↓ 47.2%
vs DeepSeek V4 (Engram): ↑ 398.8%
#7

Grok 5
xAI

$0.032438 (rounded ~ 0.03)
vs Gemini 3.1 Pro: ↓ 32.8%
vs DeepSeek V4 (Engram): ↑ 534.8%
#8

GPT-5.4 Thinking
OpenAI

$0.060313
vs Gemini 3.1 Pro: ↑ 25%
vs DeepSeek V4 (Engram): ↑ 1080.4%
#9

Claude Sonnet 4.6
Anthropic

$0.064313 (rounded ~ 0.06)
vs Gemini 3.1 Pro: ↑ 33.3%
vs DeepSeek V4 (Engram): ↑ 1158.7%
#10

o3 Deep Research
OpenAI

$0.095625 (rounded ~ 0.10)
vs Gemini 3.1 Pro: ↑ 98.2%
vs DeepSeek V4 (Engram): ↑ 1771.5%
#11

Claude Opus 4.6
Anthropic

$0.107188 (rounded ~ 0.11)
vs Gemini 3.1 Pro: ↑ 122.2%
vs DeepSeek V4 (Engram): ↑ 1997.8%
#12

o3 Pro
OpenAI

$0.191250 (rounded ~ 0.19)
vs Gemini 3.1 Pro: ↑ 296.4%
vs DeepSeek V4 (Engram): ↑ 3643%
#13

GPT-5.2 Pro
OpenAI

$0.305813 (rounded ~ 0.31)
vs Gemini 3.1 Pro: ↑ 533.8%
vs DeepSeek V4 (Engram): ↑ 5885.2%
#14

GPT-5.2 Pro
OpenAI

$0.305813 (rounded ~ 0.31)
vs Gemini 3.1 Pro: ↑ 533.8%
vs DeepSeek V4 (Engram): ↑ 5885.2%
✨ 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.

Building internal brains with millions of tokens of context.

Estimate the operational costs for 2026 enterprise AI deployments using latest tokenomics.

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.