Gemini 3 Flash vs GPT-5.3 Codex Spark: Latency War

GPT-5.3 Codex Spark vs Gemini 3 Flash
Complete Comparison: 200,000 input tokens × 50,000 output tokens
Comparison Mode
🖼️ 1 Image ⚡ 90% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 1 Image, 90% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria GPT-5.3 Codex Spark
OpenAI
Gemini 3 Flash
Google
Calculation Results (Current Inputs) (1 images, 90% cached)
Input Tokens 200,000 200,000
Output Tokens 50,000 50,000
Cost Breakdown
Input Cost $0.087613 (rounded ~ 0.09)Best $0.100129Worst
Output Cost $0.175000 (rounded ~ 0.18)Worst $0.150000Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.191646 (rounded ~ 0.19) Most Expensive $0.169025 Best Value
Processing Time 4 minutes, 30.00 seconds Fastest 5 minutes, 38.00 seconds Slowest
Tokens per Second 1,000Fastest 800Slowest
Time to First Token 100ms 100ms
Cost per 1K tokens $0.000766Worst $0.000675Best
Tokens per Dollar 1,305,832Worst Value 1,480,602Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.437500 (rounded ~ 0.44)Best $0.500000Worst
Output Cost / 1M (Base) $3.500000Worst $3.000000Best
Input Cost / 1M (Optimized) $0.218750 (rounded ~ 0.22)Best
Optimizations: 50.0% batch
$0.250000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.750000Worst
Optimizations: 50.0% batch
$1.500000Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
1
✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
90
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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.

Click Recalculate to update after making changes

ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 200,000 tokens. Budgeting mode active.

Select AI Model

GPT-5.3 Codex Spark
OpenAIMax Context: 200,000 tokens
$1.75 / $14 per 1M tokens
▼
▼
Use Batch API (50% discount)
90%
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

$0.191646 Total Cost
$0.008761 Input Cost
$0.175000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
250,258Total Tokens
$0.000766Cost per 1K
1,305,832Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

4m 30s Processing Time
1,000 Tokens/Second
100ms Time to First Token
926 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.

GPT-5.3 Codex Spark OpenAI

$0.191646 (rounded ~ 0.19)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 200,000 tokens. Budgeting mode active.
🖼️ 1 Image (1080p) ⚡ 90% 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) $0.262613 (rounded ~ 0.26) Input: $0.087613 (rounded ~ 0.09)
Output: $0.175000 (rounded ~ 0.18)
Optimized Cost $0.191646 (rounded ~ 0.19) Input: $0.087613 (rounded ~ 0.09)
Output: $0.175000 (rounded ~ 0.18)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.070966 27.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
258 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 1
Resolution: 1080p
Tokens: 258
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 50,000 output tokens:

  • Input Cost: $0.087613 (rounded ~ 0.09)
  • Output Cost: $0.175000 (rounded ~ 0.18)
  • Total Cost: $0.191646 (rounded ~ 0.19)
  • Cost per 1K tokens: $0.000766
  • Tokens per dollar: 1,305,832 tokens
  • Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 1,000 tokens per second and 100ms time to first token:

  • Processing Time: 4 minutes, 30.00 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 926 tokens/second (temperature-adjusted)

Best Use Cases

AutocompleteReal-time UI Hints

Gemini 3 Flash Google 1000000

$0.169025
Total Cost
🖼️ 1 Image (1080p) ⚡ 90% 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) $0.250129 Input: $0.100129
Output: $0.150000
Optimized Cost $0.169025 Input: $0.100129
Output: $0.150000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.081104 (rounded ~ 0.08) 32.4% discount

Advanced Cost Breakdown (from Plugin)

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

Multimodal Input Details

🖼️ Images
Count: 1
Resolution: 1080p
Tokens: 258
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 50,000 output tokens:

  • Input Cost: $0.100129
  • Output Cost: $0.150000
  • Total Cost: $0.169025
  • Cost per 1K tokens: $0.000675
  • Tokens per dollar: 1,480,602 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: 5 minutes, 38.00 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 741 tokens/second (temperature-adjusted)

Best Use Cases

AutocompleteReal-time UI Hints

✨ Market Recommendations AI Model Registry

← Back to GPT-5.3 Codex Spark
📋 Active Input Parameters
Input Tokens: 200,000
Output Tokens: 50,000
Batch API: Enabled (50% discount)
Cached Tokens: 90%
Images: 1 (1080p Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.3 Codex Spark vs Gemini 3 Flash
🏆 Gemini 3.1 Flash Lite
Google
 $0.023805 (rounded ~ 0.02) Best Value ↓ 87.6% cheaper ↓ 85.9% cheaper
🥈 Mistral Large 3
Mistral AI
 $0.095025 (rounded ~ 0.10) ↓ 50.4% cheaper ↓ 43.8% cheaper
🥉 Grok 5
xAI
 $0.216037 (rounded ~ 0.22) ↑ 12.7% more ↑ 27.8% more
#4 GPT-5.4 Thinking
OpenAI
 $0.422561 (rounded ~ 0.42) ↑ 120.5% more ↑ 150% more
#5 Gemini 3.1 Pro
Google
 $0.526098 (rounded ~ 0.53) ↑ 174.5% more ↑ 211.3% more
#6 Claude Sonnet 4.6
Anthropic
 $0.649612 ↑ 239% more ↑ 284.3% more
#7 Claude Opus 4.6
Anthropic
 $1.082687 (rounded ~ 1.08) ↑ 464.9% more ↑ 540.6% more
#8 Claude Opus 4.6
Anthropic
 $1.082687 (rounded ~ 1.08) ↑ 464.9% more ↑ 540.6% more
🏆

Gemini 3.1 Flash Lite
Google

$0.023805 (rounded ~ 0.02)
vs GPT-5.3 Codex Spark: ↓ 87.6%
vs Gemini 3 Flash: ↓ 85.9%
🥈

Mistral Large 3
Mistral AI

$0.095025 (rounded ~ 0.10)
vs GPT-5.3 Codex Spark: ↓ 50.4%
vs Gemini 3 Flash: ↓ 43.8%
🥉

Grok 5
xAI

$0.216037 (rounded ~ 0.22)
vs GPT-5.3 Codex Spark: ↑ 12.7%
vs Gemini 3 Flash: ↑ 27.8%
#4

GPT-5.4 Thinking
OpenAI

$0.422561 (rounded ~ 0.42)
vs GPT-5.3 Codex Spark: ↑ 120.5%
vs Gemini 3 Flash: ↑ 150%
#5

Gemini 3.1 Pro
Google

$0.526098 (rounded ~ 0.53)
vs GPT-5.3 Codex Spark: ↑ 174.5%
vs Gemini 3 Flash: ↑ 211.3%
#6

Claude Sonnet 4.6
Anthropic

$0.649612
vs GPT-5.3 Codex Spark: ↑ 239%
vs Gemini 3 Flash: ↑ 284.3%
#7

Claude Opus 4.6
Anthropic

$1.082687 (rounded ~ 1.08)
vs GPT-5.3 Codex Spark: ↑ 464.9%
vs Gemini 3 Flash: ↑ 540.6%
#8

Claude Opus 4.6
Anthropic

$1.082687 (rounded ~ 1.08)
vs GPT-5.3 Codex Spark: ↑ 464.9%
vs Gemini 3 Flash: ↑ 540.6%
✨ 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.

Millisecond Advantage

GPT-5.3 Codex Spark is optimized for ultra-low 100ms latency and 1000+ tokens per second, making it the choice for autocomplete. Gemini 3 Flash offers a 1M context window and superior multimodal vision. For coding tools, Codex Spark is the fastest on the market; for vision-based agents, Gemini 3 Flash is more capable.

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.