Gemini 4 Argon vs GPT-6 Sol for 300 Product Descriptions at 390K Tokens

Gemini 4 Argon vs GPT-6 Sol
Complete Comparison: 390,000 input tokens × 240,000 output tokens
Comparison Mode

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

📊 Batch API
Comparison Criteria Gemini 4 Argon
Google
GPT-6 Sol
OpenAI
Calculation Results (Current Inputs)
Input Tokens 390,000 390,000
Output Tokens 240,000 240,000
Cost Breakdown
Input Cost $0.195000 (rounded ~ $0.20)Best $0.780000Worst
Output Cost $0.600000Best $1.800000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.795000 (rounded ~ $0.80) Best Value $2.580000 Most Expensive
Processing Time 1 hour, 2 minutes, 25.18 seconds Fastest 1 hour, 25 minutes, 45.98 seconds Slowest
Tokens per Second 180Fastest 131Slowest
Time to First Token 260ms Best 340ms Worst
Cost per 1K tokens $0.001262Best $0.004095Worst
Tokens per Dollar 792,453Best Value 244,186Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.500000Best $2.000000Worst
Output Cost / 1M (Base) $2.500000Best $7.500000Worst
Input Cost / 1M (Optimized) $0.250000Best
Optimizations: 50.0% batch
$1.000000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.250000Best
Optimizations: 50.0% batch
$3.750000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support ✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Gemini 4 Argon

GoogleMax Context: 1,048,576 tokens
$2 / $10 per 1M tokens
0%
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

$0.795000 Total Cost
$0.195000 Input Cost
$0.600000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
630,000Total Tokens
$0.001262Cost per 1K
792,453Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

62m 25s Processing Time
180 Tokens/Second
260ms Time to First Token
168 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

📚 Research & Citations

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 4 Argon Google 1048576

$0.795000 (rounded ~ $0.80)
Total Cost
📊 Batch API
👁️
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) $0.795000 (rounded ~ $0.80) Input: $0.195000 (rounded ~ $0.20)
Output: $0.600000
Optimized Cost $0.795000 (rounded ~ $0.80) Input: $0.195000 (rounded ~ $0.20)
Output: $0.600000
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 390,000 input tokens and 240,000 output tokens:

  • Input Cost: $0.195000 (rounded ~ $0.20)
  • Output Cost: $0.600000
  • Total Cost: $0.795000 (rounded ~ $0.80)
  • Cost per 1K tokens: $0.001262
  • Tokens per dollar: 792,453 tokens
  • Context Window: 1048576 tokens

Speed & Performance Analysis

With a processing speed of 180 tokens per second and 260ms time to first token:

  • Processing Time: 1 hour, 2 minutes, 25.18 seconds
  • Latency: 260 milliseconds to first token
  • Base Throughput: 180 tokens/second
  • Effective Throughput: 168 tokens/second (temperature-adjusted)

Best Use Cases

Gemini 4 Argon is better for descriptiveemotive copy; GPT-6 Sol is ideal for technicalconcise product descriptions.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 4 Argon. 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-6 Sol OpenAI 1050000 🏔️ Context Cliff

$2.580000
Total Cost
📊 Batch API
👁️
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) $2.580000 Input: $0.780000
Output: $1.800000
Optimized Cost $2.580000 Input: $0.780000
Output: $1.800000
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
🏔️ Context Cliff
Premium Tier
>272,000 tokens triggered premium pricing
📊 Cliff Pricing
Premium
premium pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

For 390,000 input tokens and 240,000 output tokens:

  • Input Cost: $0.780000
  • Output Cost: $1.800000
  • Total Cost: $2.580000
  • Cost per 1K tokens: $0.004095
  • Tokens per dollar: 244,186 tokens
  • Context Window: 1050000 tokens

Speed & Performance Analysis

With a processing speed of 131 tokens per second and 340ms time to first token:

  • Processing Time: 1 hour, 25 minutes, 45.98 seconds
  • Latency: 340 milliseconds to first token
  • Base Throughput: 131 tokens/second
  • Effective Throughput: 122 tokens/second (temperature-adjusted)

Best Use Cases

Gemini 4 Argon is better for descriptiveemotive copy; GPT-6 Sol is ideal for technicalconcise product descriptions.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-6 Sol. 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 4 Argon
📋 Active Input Parameters
Input Tokens: 390,000
Output Tokens: 240,000
Batch API: Enabled (50% discount)
Rank AI Model & Provider Total Cost vs Gemini 4 Argon vs GPT-6 Sol
🏆 Nemotron 3 Super
NVIDIA
 $0.078450 (rounded ~ $0.08) Best Value ↓ 90.1% cheaper ↓ 97% cheaper
🥈 GPT-5.6 Luna
OpenAI
 $0.091500 (rounded ~ $0.09) ↓ 88.5% cheaper ↓ 96.5% cheaper
🥉 Llama 4 Scout
Meta AI
 $0.103200 (rounded ~ $0.10) ↓ 87% cheaper ↓ 96% cheaper
#4 Gemini 3.1 Flash Lite
Google
 $0.114375 (rounded ~ $0.11) ↓ 85.6% cheaper ↓ 95.6% cheaper
#5 GPT-6 Luna
OpenAI
 $0.129000 (rounded ~ $0.13) ↓ 83.8% cheaper ↓ 95% cheaper
#6 Gemini 3.5 Flash-Lite
Google
 $0.179250 ↓ 77.5% cheaper ↓ 93.1% cheaper
#7 Gemini 2.5 Flash
Google
 $0.179250 ↓ 77.5% cheaper ↓ 93.1% cheaper
#8 Llama 4 Maverick (400B)
Meta AI
 $0.202500 (rounded ~ $0.20) ↓ 74.5% cheaper ↓ 92.2% cheaper
#9 Gemini 3.8 Flash
Google
 $0.298125 (rounded ~ $0.30) ↓ 62.5% cheaper ↓ 88.4% cheaper
#10 Gemini 3.6 Flash
Google
 $0.298125 (rounded ~ $0.30) ↓ 62.5% cheaper ↓ 88.4% cheaper
#11 Mistral Large 4
Mistral AI
 $0.383400 (rounded ~ $0.38) ↓ 51.8% cheaper ↓ 85.1% cheaper
#12 Claude Haiku 5.5
Anthropic
 $0.397500 (rounded ~ $0.40) ↓ 50% cheaper ↓ 84.6% cheaper
#13 Claude Sonnet 5.5
Anthropic
 $0.795000 (rounded ~ $0.80) Same price ↓ 69.2% cheaper
#14 Claude Sonnet 5
Anthropic
 $0.795000 (rounded ~ $0.80) Same price ↓ 69.2% cheaper
#15 Gemini 3.1 Flash
Google
 $0.915000 (rounded ~ $0.92) ↑ 15.1% more ↓ 64.5% cheaper
#16 GPT-5.6 Terra
OpenAI
 $0.915000 (rounded ~ $0.92) ↑ 15.1% more ↓ 64.5% cheaper
#17 Claude Sonnet 4.6
Anthropic
 $1.192500 (rounded ~ $1.19) ↑ 50% more ↓ 53.8% cheaper
#18 Claude Opus 5.5
Anthropic
 $1.590000 ↑ 100% more ↓ 38.4% cheaper
#19 GPT-5.6 Sol
OpenAI
 $1.590000 ↑ 100% more ↓ 38.4% cheaper
#20 Grok 4.3
xAI
 $1.740000 ↑ 118.9% more ↓ 32.6% cheaper
#21 Grok 4.20 Beta
xAI
 $1.740000 ↑ 118.9% more ↓ 32.6% cheaper
#22 Claude Opus 4.7
Anthropic
 $1.987500 (rounded ~ $1.99) ↑ 150% more ↓ 23% cheaper
#23 Claude Opus 5
Anthropic
 $1.987500 (rounded ~ $1.99) ↑ 150% more ↓ 23% cheaper
#24 Claude Opus 4.8
Anthropic
 $1.987500 (rounded ~ $1.99) ↑ 150% more ↓ 23% cheaper
#25 Claude Opus 4.6
Anthropic
 $1.987500 (rounded ~ $1.99) ↑ 150% more ↓ 23% cheaper
#26 Gemini 2.5 Pro
Google
 $2.287500 (rounded ~ $2.29) ↑ 187.7% more ↓ 11.3% cheaper
#27 GPT-6.1 Sol
OpenAI
 $2.580000 ↑ 224.5% more Same price
#28 GPT-6 Sol
OpenAI
 $2.580000 ↑ 224.5% more Same price
#29 Gemini 3.1 Pro
Google
 $2.940000 ↑ 269.8% more ↑ 14% more
#30 GPT-5.4
OpenAI
 $3.675000 (rounded ~ $3.68) ↑ 362.3% more ↑ 42.4% more
#31 GPT-5.4 Thinking
OpenAI
 $3.675000 (rounded ~ $3.68) ↑ 362.3% more ↑ 42.4% more
#32 Claude Fable 5.1
Anthropic
 $3.975000 (rounded ~ $3.98) ↑ 400% more ↑ 54.1% more
#33 Claude Mythos 5.1
Anthropic
 $3.975000 (rounded ~ $3.98) ↑ 400% more ↑ 54.1% more
#34 Claude Fable 5
Anthropic
 $3.975000 (rounded ~ $3.98) ↑ 400% more ↑ 54.1% more
#35 Claude Mythos 5
Anthropic
 $3.975000 (rounded ~ $3.98) ↑ 400% more ↑ 54.1% more
#36 GPT-5.5
OpenAI
 $7.350000 ↑ 824.5% more ↑ 184.9% more
#37 GPT-5.5 Pro
OpenAI
 $13.725000 (rounded ~ $13.73) ↑ 1626.4% more ↑ 432% more
#38 GPT-6 Astra
OpenAI
 $15.900000 ↑ 1900% more ↑ 516.3% more
#39 GPT-6 Astra
OpenAI
 $15.900000 ↑ 1900% more ↑ 516.3% more
🏆

Nemotron 3 Super
NVIDIA

$0.078450 (rounded ~ $0.08)
vs Gemini 4 Argon: ↓ 90.1%
vs GPT-6 Sol: ↓ 97%
🥈

GPT-5.6 Luna
OpenAI

$0.091500 (rounded ~ $0.09)
vs Gemini 4 Argon: ↓ 88.5%
vs GPT-6 Sol: ↓ 96.5%
🥉

Llama 4 Scout
Meta AI

$0.103200 (rounded ~ $0.10)
vs Gemini 4 Argon: ↓ 87%
vs GPT-6 Sol: ↓ 96%
#4

Gemini 3.1 Flash Lite
Google

$0.114375 (rounded ~ $0.11)
vs Gemini 4 Argon: ↓ 85.6%
vs GPT-6 Sol: ↓ 95.6%
#5

GPT-6 Luna
OpenAI

$0.129000 (rounded ~ $0.13)
vs Gemini 4 Argon: ↓ 83.8%
vs GPT-6 Sol: ↓ 95%
#6

Gemini 3.5 Flash-Lite
Google

$0.179250
vs Gemini 4 Argon: ↓ 77.5%
vs GPT-6 Sol: ↓ 93.1%
#7

Gemini 2.5 Flash
Google

$0.179250
vs Gemini 4 Argon: ↓ 77.5%
vs GPT-6 Sol: ↓ 93.1%
#8

Llama 4 Maverick (400B)
Meta AI

$0.202500 (rounded ~ $0.20)
vs Gemini 4 Argon: ↓ 74.5%
vs GPT-6 Sol: ↓ 92.2%
#9

Gemini 3.8 Flash
Google

$0.298125 (rounded ~ $0.30)
vs Gemini 4 Argon: ↓ 62.5%
vs GPT-6 Sol: ↓ 88.4%
#10

Gemini 3.6 Flash
Google

$0.298125 (rounded ~ $0.30)
vs Gemini 4 Argon: ↓ 62.5%
vs GPT-6 Sol: ↓ 88.4%
#11

Mistral Large 4
Mistral AI

$0.383400 (rounded ~ $0.38)
vs Gemini 4 Argon: ↓ 51.8%
vs GPT-6 Sol: ↓ 85.1%
#12

Claude Haiku 5.5
Anthropic

$0.397500 (rounded ~ $0.40)
vs Gemini 4 Argon: ↓ 50%
vs GPT-6 Sol: ↓ 84.6%
#13

Claude Sonnet 5.5
Anthropic

$0.795000 (rounded ~ $0.80)
vs Gemini 4 Argon: Same
vs GPT-6 Sol: ↓ 69.2%
#14

Claude Sonnet 5
Anthropic

$0.795000 (rounded ~ $0.80)
vs Gemini 4 Argon: Same
vs GPT-6 Sol: ↓ 69.2%
#15

Gemini 3.1 Flash
Google

$0.915000 (rounded ~ $0.92)
vs Gemini 4 Argon: ↑ 15.1%
vs GPT-6 Sol: ↓ 64.5%
#16

GPT-5.6 Terra
OpenAI

$0.915000 (rounded ~ $0.92)
vs Gemini 4 Argon: ↑ 15.1%
vs GPT-6 Sol: ↓ 64.5%
#17

Claude Sonnet 4.6
Anthropic

$1.192500 (rounded ~ $1.19)
vs Gemini 4 Argon: ↑ 50%
vs GPT-6 Sol: ↓ 53.8%
#18

Claude Opus 5.5
Anthropic

$1.590000
vs Gemini 4 Argon: ↑ 100%
vs GPT-6 Sol: ↓ 38.4%
#19

GPT-5.6 Sol
OpenAI

$1.590000
vs Gemini 4 Argon: ↑ 100%
vs GPT-6 Sol: ↓ 38.4%
#20

Grok 4.3
xAI

$1.740000
vs Gemini 4 Argon: ↑ 118.9%
vs GPT-6 Sol: ↓ 32.6%
#21

Grok 4.20 Beta
xAI

$1.740000
vs Gemini 4 Argon: ↑ 118.9%
vs GPT-6 Sol: ↓ 32.6%
#22

Claude Opus 4.7
Anthropic

$1.987500 (rounded ~ $1.99)
vs Gemini 4 Argon: ↑ 150%
vs GPT-6 Sol: ↓ 23%
#23

Claude Opus 5
Anthropic

$1.987500 (rounded ~ $1.99)
vs Gemini 4 Argon: ↑ 150%
vs GPT-6 Sol: ↓ 23%
#24

Claude Opus 4.8
Anthropic

$1.987500 (rounded ~ $1.99)
vs Gemini 4 Argon: ↑ 150%
vs GPT-6 Sol: ↓ 23%
#25

Claude Opus 4.6
Anthropic

$1.987500 (rounded ~ $1.99)
vs Gemini 4 Argon: ↑ 150%
vs GPT-6 Sol: ↓ 23%
#26

Gemini 2.5 Pro
Google

$2.287500 (rounded ~ $2.29)
vs Gemini 4 Argon: ↑ 187.7%
vs GPT-6 Sol: ↓ 11.3%
#27

GPT-6.1 Sol
OpenAI

$2.580000
vs Gemini 4 Argon: ↑ 224.5%
vs GPT-6 Sol: Same
#28

GPT-6 Sol
OpenAI

$2.580000
vs Gemini 4 Argon: ↑ 224.5%
vs GPT-6 Sol: Same
#29

Gemini 3.1 Pro
Google

$2.940000
vs Gemini 4 Argon: ↑ 269.8%
vs GPT-6 Sol: ↑ 14%
#30

GPT-5.4
OpenAI

$3.675000 (rounded ~ $3.68)
vs Gemini 4 Argon: ↑ 362.3%
vs GPT-6 Sol: ↑ 42.4%
#31

GPT-5.4 Thinking
OpenAI

$3.675000 (rounded ~ $3.68)
vs Gemini 4 Argon: ↑ 362.3%
vs GPT-6 Sol: ↑ 42.4%
#32

Claude Fable 5.1
Anthropic

$3.975000 (rounded ~ $3.98)
vs Gemini 4 Argon: ↑ 400%
vs GPT-6 Sol: ↑ 54.1%
#33

Claude Mythos 5.1
Anthropic

$3.975000 (rounded ~ $3.98)
vs Gemini 4 Argon: ↑ 400%
vs GPT-6 Sol: ↑ 54.1%
#34

Claude Fable 5
Anthropic

$3.975000 (rounded ~ $3.98)
vs Gemini 4 Argon: ↑ 400%
vs GPT-6 Sol: ↑ 54.1%
#35

Claude Mythos 5
Anthropic

$3.975000 (rounded ~ $3.98)
vs Gemini 4 Argon: ↑ 400%
vs GPT-6 Sol: ↑ 54.1%
#36

GPT-5.5
OpenAI

$7.350000
vs Gemini 4 Argon: ↑ 824.5%
vs GPT-6 Sol: ↑ 184.9%
#37

GPT-5.5 Pro
OpenAI

$13.725000 (rounded ~ $13.73)
vs Gemini 4 Argon: ↑ 1626.4%
vs GPT-6 Sol: ↑ 432%
#38

GPT-6 Astra
OpenAI

$15.900000
vs Gemini 4 Argon: ↑ 1900%
vs GPT-6 Sol: ↑ 516.3%
#39

GPT-6 Astra
OpenAI

$15.900000
vs Gemini 4 Argon: ↑ 1900%
vs GPT-6 Sol: ↑ 516.3%
✨ 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.

Choosing between top-tier models for bulk content generation often comes down to the trade-off between creative flair and logical adherence. Gemini 4 Argon brings a distinct advantage in multimodality, which can be leveraged if your product descriptions need to be informed by visual assets or existing marketing imagery. Its reasoning capabilities are tuned to handle expansive context windows, making it particularly useful if your content pipeline involves cross-referencing a large library of style guidelines or historical sales data during the generation process.

GPT-6 Sol, conversely, is frequently favored for its highly predictable instruction following and dense, focused reasoning. For a UX designer building an automated catalog pipeline, GPT-6 Sol often provides a more concise, punchy writing style that requires less pruning. While Gemini 4 Argon may offer more creative breadth—useful for brands that require descriptive, emotive language—GPT-6 Sol provides a more utilitarian, feature-focused approach. Both models are capable of handling the 390K token workload efficiently, but the choice should depend on the desired ‘voice’ of the output. Gemini 4 Argon is often the superior choice for lifestyle-oriented brands where descriptive nuance is key, whereas GPT-6 Sol aligns better with technical products or utility-focused ecommerce sites where accuracy and brevity are the primary metrics for success.

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 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 4 Argon currently costs $2.00 / $10.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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