DeepSeek V4 vs Gemini 3.1 Pro: Developer Utility

DeepSeek V4 vs Gemini 3.1 Pro
Complete Comparison: 1,000,000 input tokens × 1,000,000 output tokens
Comparison Mode (Custom field comparison)

Complete comparison of pricing, performance, and capabilities for 2 leading AI models .

Comparison Criteria DeepSeek V4
DeepSeek
Gemini 3.1 Pro
Google
Input Parameters Applied
Input Tokens 1,000,000 1,000,000
Output Tokens 1,000,000 1,000,000
Calculation Results
Input Cost $0.270000 Best $1.000000 Worst
Output Cost $1.100000 Best $5.000000 Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $1.420000 Best Value $6.050000 Most Expensive
Processing Time 58 minutes, 20.00 seconds Fastest 1 hour, 27 minutes, 30.00 seconds Slowest
Tokens per Second 600 Fastest 400 Slowest
Time to First Token 95ms Best 220ms Worst
Cost per 1K tokens $0.000710 Best $0.003025 (rounded ~ 0.00) Worst
Tokens per Dollar 1,408,451 Best Value 330,579 Worst Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $0.270000 Best $1.000000 Worst
Output Cost / 1M (Base) $1.100000 Best $5.000000 Worst
Input Cost / 1M (Optimized) $0.270000 Best
Optimizations: No optimizations applied
$1.000000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $1.100000 Best
Optimizations: No optimizations applied
$5.000000 Worst
Optimizations: No optimizations applied
Capabilities
Caching Support ✓ Supported ✓ Supported
Batch API Support Available Available
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

ℹ️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 1,000,000 tokens.

Select AI Model

DeepSeek V4 (Engram)
DeepSeekMax Context: 1,000,000 tokens
Input: $0.270000 / 1M
Output: $1.100000 / 1M

Calculate Token Costs

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▼
Provider-specific multipliers applied after all calculations
Enable for Haiku 4.5 hard cap bypass
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Multiply total cost by quantity for project budgeting
$1.420000Total Cost
$0.270000Input Cost
$1.100000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
2,000,000Total Tokens
$0.000710Cost per 1K
1,408,451Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
58m 20sProcessing Time
600Tokens/Second
95msTime to First Token
571Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
0%
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data (Pro: $4.50/1M/hr, Flash: $1.00/1M/hr)
First 50 hours free, $0.05/hour after (reset at 00:00 UTC)
🧠 Specialized Modes
Enable Thinking Mode (Google models)
Manual thinking tokens (billed at output rate, disabled by default)
Adaptive thinking token estimation for DeepSeek models
30% output surcharge (Vertex AI priority)
Billed at output rate × reasoning multiplier
Global 2x multiplier for priority processing
Enable Reasoning/Thinking Mode (DeepSeek R1, Grok Deep Reason)
Enable Agentic Swarm
🔧 Automated Service Fees
Enable for DeepSeek V4 ($0.01 per 1M tokens)
Enable code execution (adds $0.05 flat fee)
$0.01 per query (auto-applied based on Search Queries input)
🤖 xAI Agent Tools (Unified $5.00/1k)
Real-time X data access calls
Standard internet search calls
Python sandbox execution calls (overrides flat fee if set)
📚 xAI RAG Tools (Unified $2.50/1k)
File search tool access
Collections/RAG knowledge base access - aggregated with File Search at $2.50/1k
ℹ️ Updated xAI Tool Pricing: Agent tools (web, X, code) at $5.00/1k calls. RAG tools (collections, file) at $2.50/1k calls. Integer code_execution_calls overrides boolean.
🎤 Realtime Audio & Deep Research
Enable Deep Research ($2.00/$8.00 rates)
Session length for billing ($0.01 per minute, rounded up)
Active speech time within session
📄 Mistral AI - Unit-Based Options
Number of pages to process with OCR (tiered pricing auto-applied)
Enable HTML table reconstruction surcharge
Duration-based audio processing (not token-based)
Enable speaker diarization (Voxtral models only)
Enable context biasing (Voxtral models only)
🔬 Research & Citation
Enable research tier pricing ($2.00/$8.00 + $0.005/query)
Enable reasoning with 1,000 token floor ($0.015 min)
Fee per source cited when research mode is enabled
⚙️ Performance Tuning
Low = Fast
High = Creative
📊 Advanced Cost Breakdown
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

DeepSeek V4 DeepSeek 1000000

$1.420000
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 1,000,000 tokens.
👁️
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

Base Cost (No Optimizations) $1.420000 Input: $0.270000
Output: $1.100000
Optimized Cost $1.420000 Input: $0.270000
Output: $1.100000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 1,000,000 input tokens and 1,000,000 output tokens:

  • Input Cost: $0.270000
  • Output Cost: $1.100000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $1.420000
  • Cost per 1K tokens: $0.000710
  • Tokens per dollar: 1,408,451 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: 58 minutes, 20.00 seconds
  • Latency: 95 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 571 tokens/second

Best Use Cases

Full-Stack DebuggingAutomated Code Reviews

Gemini 3.1 Pro Google 2000000

$6.050000
Total Cost
👁️
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

Base Cost (No Optimizations) $6.050000 Input: $1.000000
Output: $5.000000
Optimized Cost $6.050000 Input: $1.000000
Output: $5.000000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 1,000,000 input tokens and 1,000,000 output tokens:

  • Input Cost: $1.000000
  • Output Cost: $5.000000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $6.050000
  • Cost per 1K tokens: $0.003025 (rounded ~ 0.00)
  • Tokens per dollar: 330,579 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 hour, 27 minutes, 30.00 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 381 tokens/second

Best Use Cases

Full-Stack DebuggingAutomated Code Reviews

Coding ROI vs Ecosystem Synergy

DeepSeek V4 (Engram) has established itself as the 2026 leader in coding cost-efficiency, providing elite reasoning for Python and Rust at a fraction of Google’s API costs. Gemini 3.1 Pro, however, provides a multimodal edge, allowing developers to upload design screenshots or screen recordings of bugs for analysis. For pure code generation and refactoring, DeepSeek is the value leader; for UI/UX-driven development and full-stack multimodal debugging, Gemini 3.1 Pro is worth the premium.

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.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 38 AI models. It calculates token-based pricing, analyzes multimodal processing, and provides optimization recommendations.