Gemini 3.1 Flash vs GPT-5.4 mini: 1,000-Invoice Extraction Pipelines

Gemini 3.1 Flash vs GPT-5.4 mini
Complete Comparison: 5,000,000 input tokens × 1,500 output tokens
Comparison Mode
🖼️ 1000 Images ⚡ 30% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 1000 Images, 30% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.1 Flash
Google
GPT-5.4 mini
OpenAI
Calculation Results (Current Inputs) (1000 images, 30% cached)
Input Tokens 5,000,000 5,000,000
Output Tokens 1,500 1,500
Cost Breakdown
Input Cost $2.758000 (rounded ~ $2.76)Worst $1.034250 (rounded ~ $1.03)Best
Output Cost $0.004500Worst $0.001688Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $2.017840 (rounded ~ $2.02) Most Expensive $0.756690 (rounded ~ $0.76) Best Value
Processing Time 1 hour, 58 minutes, 23.96 seconds Fastest 3 hours, 9 minutes, 26.23 seconds Slowest
Tokens per Second 800Fastest 500Slowest
Time to First Token 100ms Best 180ms Worst
Cost per 1K tokens $0.000366Worst $0.000137Best
Tokens per Dollar 2,734,360Worst Value 7,291,625Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.500000Worst $0.187500 (rounded ~ $0.19)Best
Output Cost / 1M (Base) $3.000000Worst $1.125000 (rounded ~ $1.13)Best
Input Cost / 1M (Optimized) $0.250000Worst
Optimizations: 50.0% batch
$0.093750 (rounded ~ $0.09)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.500000Worst
Optimizations: 50.0% batch
$0.562500 (rounded ~ $0.56)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
1000
✓ Supported ✓ 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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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Gemini 3.1 Flash
GoogleMax Context: 1,000,000 tokens
$0.5 / $3 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.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$2.017840 Total Cost
$1.930600 Input Cost
$0.004500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
5,517,500Total Tokens
$0.000366Cost per 1K
2,734,360Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

118m 23s Processing Time
800 Tokens/Second
100ms Time to First Token
777 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
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 Flash Google 1000000

$2.017840 (rounded ~ $2.02)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 1000 Image (Medium) ⚡ 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) $2.762500 (rounded ~ $2.76) Input: $2.758000 (rounded ~ $2.76)
Output: $0.004500
Optimized Cost $2.017840 (rounded ~ $2.02) Input: $2.758000 (rounded ~ $2.76)
Output: $0.004500
Unit: $0.000000
Fees: $0.000000
Total Savings $0.744660 (rounded ~ $0.74) 27.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
516,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Multimodal Input Details

🖼️ Images
Count: 1000
Resolution: Medium
Tokens: 516,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 5,000,000 input tokens and 1,500 output tokens:

  • Input Cost: $2.758000 (rounded ~ $2.76)
  • Output Cost: $0.004500
  • Total Cost: $2.017840 (rounded ~ $2.02)
  • Cost per 1K tokens: $0.000366
  • Tokens per dollar: 2,734,360 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 800 tokens per second and 100ms time to first token:

  • Processing Time: 1 hour, 58 minutes, 23.96 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 777 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for scalablehigh-volume automated data extraction from diverse invoice formats.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Flash. 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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GPT-5.4 mini OpenAI

$0.756690 (rounded ~ $0.76)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 400,000 tokens. Budgeting mode active.
🖼️ 1000 Image (Medium) ⚡ 30% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ 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) $1.035938 (rounded ~ $1.04) Input: $1.034250 (rounded ~ $1.03)
Output: $0.001688
Optimized Cost $0.756690 (rounded ~ $0.76) Input: $1.034250 (rounded ~ $1.03)
Output: $0.001688
Unit: $0.000000
Fees: $0.000000
Total Savings $0.279248 27.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
516,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 1000
Resolution: Medium
Tokens: 516,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 5,000,000 input tokens and 1,500 output tokens:

  • Input Cost: $1.034250 (rounded ~ $1.03)
  • Output Cost: $0.001688
  • Total Cost: $0.756690 (rounded ~ $0.76)
  • Cost per 1K tokens: $0.000137
  • Tokens per dollar: 7,291,625 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 180ms time to first token:

  • Processing Time: 3 hours, 9 minutes, 26.23 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 485 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for scalablehigh-volume automated data extraction from diverse invoice formats.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4 mini. 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.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Flash
📋 Active Input Parameters
Input Tokens: 5,000,000
Output Tokens: 1,500
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Images: 1000 (Medium Resolution)
Tools: Enabled
🔍
No Alternatives Found
No other models in the registry support all your current input parameters. Try adjusting some parameters to see more options.
Remove Images Remove Video Remove Audio Remove OCR Remove Tools
✨ 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.

Balancing Latency and Accuracy

When orchestrating document ingestion at scale, selecting the right model is a balance between per-unit economics and structural reliability. Both Gemini 3.1 Flash and GPT-5.4 mini are designed to handle high-frequency, cost-sensitive workloads, making them prime candidates for automated invoice extraction. However, they approach the task with different architectural strengths that can impact your production pipeline.

Gemini 3.1 Flash is a strong choice for multimodal-heavy workflows. Its ability to natively process images and PDFs allows for streamlined document-to-data pipelines. For voice AI teams, Gemini’s deep integration with Google Cloud ecosystems often simplifies the infrastructure required to scale, especially if your downstream agents rely on Google’s broader toolset. It is particularly effective at maintaining context across longer documents, which is useful when dealing with multi-page invoices or attached supporting documentation.

GPT-5.4 mini excels in logic-heavy subtasks. Its strength lies in its adherence to structured outputs and tool-use reliability. If your extraction pipeline requires complex reasoning—such as validating line items against a database or cross-referencing against internal policy documents before outputting JSON—GPT-5.4 mini often feels more deterministic. Its refined ability to follow strict formatting schemas makes it a favorite for developers who have already invested in OpenAI’s function-calling SDKs.

Choosing between them: If your priority is handling massive multimodal volume with native PDF intelligence, Gemini 3.1 Flash offers a robust integration path. If your primary focus is on reliable, schema-driven reasoning within an existing OpenAI-centric agentic framework, GPT-5.4 mini will likely offer a smoother developer experience.

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 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 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

Gemini 3.1 Flash currently costs $0.50 / $3.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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