Gemini 2.5 Flash vs GPT-40 Mini multimodal efficiency

gemini-2-5-flash vs gpt-40-mini
Complete Comparison: 15,000 input tokens × 8,000 output tokens
Comparison Mode (Custom field comparison)
🖼️ 10 Images 🎥 120s Video 🎧 5min Audio ⚡ 30% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 10 Images, 120s Video, 5min Audio and more.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria gemini-2-5-flash
Google
gpt-40-mini
OpenAI
Input Parameters Applied (10 images, 120s video, 5min audio, 30% cached)
Input Tokens 15,000 15,000
Output Tokens 8,000 8,000
Calculation Results
Input Cost $0.061320 (rounded ~ 0.06) Best $0.075000 (rounded ~ 0.08) Worst
Output Cost $0.040000 Best $0.200000 Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $0.151320 (rounded ~ 0.15) Best Value $0.325000 (rounded ~ 0.33) Most Expensive
Processing Time 2 minutes, 1.00 second Slowest 48.48 seconds Fastest
Tokens per Second 600 Fastest 500 Slowest
Time to First Token 120ms Best 200ms Worst
Cost per 1K tokens $0.001333 (rounded ~ 0.00) Best $0.014130 (rounded ~ 0.01) Worst
Tokens per Dollar 750,364 Best Value 70,769 Worst Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $1.000000 Best $5.000000 Worst
Output Cost / 1M (Base) $5.000000 Best $25.000000 Worst
Input Cost / 1M (Optimized) $0.500000 Best
Optimizations: 50.0% batch
$5.000000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $2.500000 Best
Optimizations: 50.0% batch
$25.000000 Worst
Optimizations: No optimizations applied
Capabilities
Images Support
10 images
✓ Supported ✗ Not Supported
Video Support
120 seconds
✓ Supported ✗ Not Supported
Audio Support
5 minutes
✓ Supported ✗ Not Supported
Caching Support ✓ Supported ✗ Not Supported
Batch API Support ✓ Enabled ✗ Not Supported
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.

Select AI Model

Gemini 2.5 Flash
GoogleMax Context: 1,000,000 tokens
Input: $1.000000 / 1M
Output: $5.000000 / 1M

Calculate Token Costs

▼
▼
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
$0.092382Total Cost
$0.061320Input Cost
$0.040000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
69,320Total Tokens
$0.001333Cost per 1K
750,364Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
2m 1sProcessing Time
600Tokens/Second
120msTime 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
30%
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.

gemini-2-5-flash Google 1000000

$0.151320 (rounded ~ 0.15)
Total Cost
🖼️ 10 Image (Medium) 🎥 120s Video (720p) 🎧 5min Audio ⚡ 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

Base Cost (No Optimizations) $0.151320 (rounded ~ 0.15) Input: $0.061320 (rounded ~ 0.06)
Output: $0.040000
Optimized Cost $0.151320 (rounded ~ 0.15) Input: $0.061320 (rounded ~ 0.06)
Output: $0.040000
Unit: $0.000000
Fees: $0.050000
Total Savings $0.058938 (rounded ~ 0.06) 38.9% discount

Advanced Cost Breakdown

🖼️ Multimodal Input
$0.000000
46,320 tokens
📊 Batch API
50.0% off
Asynchronous processing
💻 Code Execution
$0.050000
Flat fee per execution

Multimodal Input Details

🖼️ Images
Count: 10
Resolution: Medium
Tokens: 5,160
Cost: $0.000000
🎥 Video
Duration: 120 seconds
Quality: 720p
Cost: $0.000000
🎧 Audio
Duration: 5 minutes
Cost: $0.000000

Detailed Cost Analysis

For 15,000 input tokens and 8,000 output tokens:

  • Input Cost: $0.061320 (rounded ~ 0.06)
  • Output Cost: $0.040000
  • Service Fees: $0.050000
  • Total Cost: $0.151320 (rounded ~ 0.15)
  • Cost per 1K tokens: $0.001333 (rounded ~ 0.00)
  • Tokens per dollar: 750,364 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 600 tokens per second and 120ms time to first token:

  • Processing Time: 2 minutes, 1.00 second
  • Latency: 120 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 571 tokens/second (temperature-adjusted)

Best Use Cases

Cost-effective multimodalSmall business applications

gpt-40-mini OpenAI

$0.325000 (rounded ~ 0.33)
Total Cost
🖼️ 10 Image (Medium) 🎥 120s Video (720p) 🎧 5min Audio ⚡ 30% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.325000 (rounded ~ 0.33) Input: $0.075000 (rounded ~ 0.08)
Output: $0.200000
Optimized Cost $0.325000 (rounded ~ 0.33) Input: $0.075000 (rounded ~ 0.08)
Output: $0.200000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 15,000 input tokens and 8,000 output tokens:

  • Input Cost: $0.075000 (rounded ~ 0.08)
  • Output Cost: $0.200000
  • Service Fees: $0.050000
  • Total Cost: $0.325000 (rounded ~ 0.33)
  • Cost per 1K tokens: $0.014130 (rounded ~ 0.01)
  • Tokens per dollar: 70,769 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 200ms time to first token:

  • Processing Time: 48.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 476 tokens/second (temperature-adjusted)

Best Use Cases

Cost-effective multimodalSmall business applications

Multimodal Cost Efficiency Comparison

Comparing lightweight multimodal models for budget-conscious applications. Both support vision and audio with different optimization strategies.

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.
How are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
How is video pricing calculated?
Video processing uses either token-based billing (263 tokens per second) or duration-based billing for video generation models like Veo ($0.15-0.75 per second depending on resolution).
How does audio billing work?
Audio models use duration-based billing (minutes) rather than tokens. Voxtral Realtime: $0.006/min, Async: $0.003/min. Silence/keep-alive fees apply for GPT Realtime Mini at $0.30/1M tokens. Diarization adds $0.002/min, context biasing adds $0.01 flat fee.
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.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 44+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), and provides optimization recommendations.