Gemini 4 Argon Pricing for Financial Earnings Analysis: 500K-Token Context

Complete Analysis: 502,000 tokens for Gemini 4 Argon
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 4 Argon model with 50% Cached.

⚡ Caching Optimized (up to 90% savings)
$0.570000 Total Cost
502,000 Total Tokens
47 minutes, 24.85 seconds Processing Time
176 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Gemini 4 Argon

GoogleMax Context: 1,048,576 tokens
$2 / $10 per 1M tokens
50%
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

$0.570000 Total Cost
$0.500000 Input Cost
$0.020000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
502,000Total Tokens
$0.001135Cost per 1K
880,702Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

47m 24s Processing Time
180 Tokens/Second
260ms Time to First Token
176 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

Gemini 4 Argon Google 1048576

$0.570000
Total Cost
⚡ 50% Cached 🔧 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) $1.020000 Input: $1.000000
Output: $0.020000
Optimized Cost $0.570000 Input: $1.000000
Output: $0.020000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.450000 44.1% discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 2,000 output tokens:

  • Input Cost: $1.000000
  • Output Cost: $0.020000
  • Total Cost: $0.570000
  • Cost per 1K tokens: $0.001135
  • Tokens per dollar: 880,702 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: 47 minutes, 24.85 seconds
  • Latency: 260 milliseconds to first token
  • Base Throughput: 180 tokens/second
  • Effective Throughput: 176 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for analyzing lengthycomplex financial filings like 10-Ks where maintaining context across the entire document is critical for accurate extraction.

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.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Gemini 4 Argon
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 2,000
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 4 Argon
🏆 GPT-6 Luna
OpenAI
 $0.056500 (rounded ~ $0.06) Best Value ↓ 90.1% cheaper
🥈 GPT-5.6 Luna
OpenAI
 $0.057400 (rounded ~ $0.06) ↓ 89.9% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.071750 (rounded ~ $0.07) ↓ 87.4% cheaper
#4 Gemini 3.5 Flash-Lite
Google
 $0.087500 (rounded ~ $0.09) ↓ 84.6% cheaper
#5 Gemini 2.5 Flash
Google
 $0.087500 (rounded ~ $0.09) ↓ 84.6% cheaper
#6 Claude Haiku 5.5
Anthropic
 $0.142500 (rounded ~ $0.14) ↓ 75% cheaper
#7 Gemini 3.8 Flash
Google
 $0.213750 (rounded ~ $0.21) ↓ 62.5% cheaper
#8 Gemini 3.6 Flash
Google
 $0.213750 (rounded ~ $0.21) ↓ 62.5% cheaper
#9 Gemini 3.1 Flash
Google
 $0.287000 (rounded ~ $0.29) ↓ 49.6% cheaper
#10 Mistral Large 4
Mistral AI
 $0.382360 (rounded ~ $0.38) ↓ 32.9% cheaper
#11 Claude Sonnet 5.5
Anthropic
 $0.545000 (rounded ~ $0.55) ↓ 4.4% cheaper
#12 Claude Sonnet 5
Anthropic
 $0.570000 Same price
#13 GPT-5.6 Terra
OpenAI
 $0.574000 (rounded ~ $0.57) ↑ 0.7% more
#14 Kimi K3.1 Pro
Moonshot AI
 $0.605000 (rounded ~ $0.61) ↑ 6.1% more
#15 Grok 4.3
xAI
 $0.697500 (rounded ~ $0.70) ↑ 22.4% more
#16 Grok 4.20 Beta
xAI
 $0.697500 (rounded ~ $0.70) ↑ 22.4% more
#17 Gemini 2.5 Pro
Google
 $0.717500 (rounded ~ $0.72) ↑ 25.9% more
#18 Claude Sonnet 4.6
Anthropic
 $0.855000 (rounded ~ $0.86) ↑ 50% more
#19 Kimi K3
Moonshot AI
 $0.907500 (rounded ~ $0.91) ↑ 59.2% more
#20 Claude Opus 5.5
Anthropic
 $1.090000 ↑ 91.2% more
#21 GPT-6.1 Sol
OpenAI
 $1.130000 ↑ 98.2% more
#22 GPT-6 Sol
OpenAI
 $1.130000 ↑ 98.2% more
#23 Gemini 3.1 Pro
Google
 $1.136000 (rounded ~ $1.14) ↑ 99.3% more
#24 GPT-5.6 Sol
OpenAI
 $1.140000 ↑ 100% more
#25 GPT-5.4
OpenAI
 $1.420000 ↑ 149.1% more
#26 GPT-5.4 Thinking
OpenAI
 $1.420000 ↑ 149.1% more
#27 Claude Opus 4.7
Anthropic
 $1.425000 (rounded ~ $1.43) ↑ 150% more
#28 Claude Opus 5
Anthropic
 $1.425000 (rounded ~ $1.43) ↑ 150% more
#29 Claude Opus 4.8
Anthropic
 $1.425000 (rounded ~ $1.43) ↑ 150% more
#30 Claude Opus 4.6
Anthropic
 $1.425000 (rounded ~ $1.43) ↑ 150% more
#31 Muse Wonder 1.0
Meta AI
 $2.040000 ↑ 257.9% more
#32 Claude Fable 5.1
Anthropic
 $2.662500 (rounded ~ $2.66) ↑ 367.1% more
#33 Claude Mythos 5.1
Anthropic
 $2.662500 (rounded ~ $2.66) ↑ 367.1% more
#34 GPT-5.5
OpenAI
 $2.840000 ↑ 398.2% more
#35 Claude Fable 5
Anthropic
 $2.850000 ↑ 400% more
#36 Claude Mythos 5
Anthropic
 $2.850000 ↑ 400% more
#37 GPT-6 Astra
OpenAI
 $5.700000 ↑ 900% more
#38 GPT-6 Astra
OpenAI
 $5.700000 ↑ 900% more
🏆

GPT-6 Luna
OpenAI

$0.056500 (rounded ~ $0.06)
vs Gemini 4 Argon: ↓ 90.1%
🥈

GPT-5.6 Luna
OpenAI

$0.057400 (rounded ~ $0.06)
vs Gemini 4 Argon: ↓ 89.9%
🥉

Gemini 3.1 Flash Lite
Google

$0.071750 (rounded ~ $0.07)
vs Gemini 4 Argon: ↓ 87.4%
#4

Gemini 3.5 Flash-Lite
Google

$0.087500 (rounded ~ $0.09)
vs Gemini 4 Argon: ↓ 84.6%
#5

Gemini 2.5 Flash
Google

$0.087500 (rounded ~ $0.09)
vs Gemini 4 Argon: ↓ 84.6%
#6

Claude Haiku 5.5
Anthropic

$0.142500 (rounded ~ $0.14)
vs Gemini 4 Argon: ↓ 75%
#7

Gemini 3.8 Flash
Google

$0.213750 (rounded ~ $0.21)
vs Gemini 4 Argon: ↓ 62.5%
#8

Gemini 3.6 Flash
Google

$0.213750 (rounded ~ $0.21)
vs Gemini 4 Argon: ↓ 62.5%
#9

Gemini 3.1 Flash
Google

$0.287000 (rounded ~ $0.29)
vs Gemini 4 Argon: ↓ 49.6%
#10

Mistral Large 4
Mistral AI

$0.382360 (rounded ~ $0.38)
vs Gemini 4 Argon: ↓ 32.9%
#11

Claude Sonnet 5.5
Anthropic

$0.545000 (rounded ~ $0.55)
vs Gemini 4 Argon: ↓ 4.4%
#12

Claude Sonnet 5
Anthropic

$0.570000
vs Gemini 4 Argon: Same
#13

GPT-5.6 Terra
OpenAI

$0.574000 (rounded ~ $0.57)
vs Gemini 4 Argon: ↑ 0.7%
#14

Kimi K3.1 Pro
Moonshot AI

$0.605000 (rounded ~ $0.61)
vs Gemini 4 Argon: ↑ 6.1%
#15

Grok 4.3
xAI

$0.697500 (rounded ~ $0.70)
vs Gemini 4 Argon: ↑ 22.4%
#16

Grok 4.20 Beta
xAI

$0.697500 (rounded ~ $0.70)
vs Gemini 4 Argon: ↑ 22.4%
#17

Gemini 2.5 Pro
Google

$0.717500 (rounded ~ $0.72)
vs Gemini 4 Argon: ↑ 25.9%
#18

Claude Sonnet 4.6
Anthropic

$0.855000 (rounded ~ $0.86)
vs Gemini 4 Argon: ↑ 50%
#19

Kimi K3
Moonshot AI

$0.907500 (rounded ~ $0.91)
vs Gemini 4 Argon: ↑ 59.2%
#20

Claude Opus 5.5
Anthropic

$1.090000
vs Gemini 4 Argon: ↑ 91.2%
#21

GPT-6.1 Sol
OpenAI

$1.130000
vs Gemini 4 Argon: ↑ 98.2%
#22

GPT-6 Sol
OpenAI

$1.130000
vs Gemini 4 Argon: ↑ 98.2%
#23

Gemini 3.1 Pro
Google

$1.136000 (rounded ~ $1.14)
vs Gemini 4 Argon: ↑ 99.3%
#24

GPT-5.6 Sol
OpenAI

$1.140000
vs Gemini 4 Argon: ↑ 100%
#25

GPT-5.4
OpenAI

$1.420000
vs Gemini 4 Argon: ↑ 149.1%
#26

GPT-5.4 Thinking
OpenAI

$1.420000
vs Gemini 4 Argon: ↑ 149.1%
#27

Claude Opus 4.7
Anthropic

$1.425000 (rounded ~ $1.43)
vs Gemini 4 Argon: ↑ 150%
#28

Claude Opus 5
Anthropic

$1.425000 (rounded ~ $1.43)
vs Gemini 4 Argon: ↑ 150%
#29

Claude Opus 4.8
Anthropic

$1.425000 (rounded ~ $1.43)
vs Gemini 4 Argon: ↑ 150%
#30

Claude Opus 4.6
Anthropic

$1.425000 (rounded ~ $1.43)
vs Gemini 4 Argon: ↑ 150%
#31

Muse Wonder 1.0
Meta AI

$2.040000
vs Gemini 4 Argon: ↑ 257.9%
#32

Claude Fable 5.1
Anthropic

$2.662500 (rounded ~ $2.66)
vs Gemini 4 Argon: ↑ 367.1%
#33

Claude Mythos 5.1
Anthropic

$2.662500 (rounded ~ $2.66)
vs Gemini 4 Argon: ↑ 367.1%
#34

GPT-5.5
OpenAI

$2.840000
vs Gemini 4 Argon: ↑ 398.2%
#35

Claude Fable 5
Anthropic

$2.850000
vs Gemini 4 Argon: ↑ 400%
#36

Claude Mythos 5
Anthropic

$2.850000
vs Gemini 4 Argon: ↑ 400%
#37

GPT-6 Astra
OpenAI

$5.700000
vs Gemini 4 Argon: ↑ 900%
#38

GPT-6 Astra
OpenAI

$5.700000
vs Gemini 4 Argon: ↑ 900%
✨ 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.

Deep Analysis for Real Estate Portfolios

For real estate agents and investors tasked with evaluating REITs or large property development firms, parsing 10-K filings is a critical but time-consuming necessity. These documents are dense with legal jargon, risk factors, and complex financial tables that require high-fidelity reasoning to interpret correctly.

Gemini 4 Argon is particularly well-suited for this workload due to its significant context window and advanced reasoning architecture. When analyzing 500K-token filings, the ability to process the entire document as a single input rather than breaking it into fragmented sections is a major advantage. This holistic approach ensures that cross-references between the ‘Management Discussion and Analysis’ section and the raw ‘Financial Statements’ remain intact, reducing the likelihood of hallucinated connections or missed data points.

When to prioritize this model:

  • Complex Document Structure: When your analysis requires synthesizing information spread across widely separated sections of a 100+ page filing.
  • High-Stakes Accuracy: When the quality of the reasoning step is more important than the raw speed of the initial parse.
  • Single-Pass Workflows: If your pipeline relies on a single comprehensive prompt to extract key metrics like debt-to-equity ratios, occupancy rates, and forward-looking statements in one go.

While lightweight models may suffice for simple keyword extraction, Gemini 4 Argon’s reasoning capability provides the depth necessary for professional-grade financial analysis where nuance and accuracy in interpreting market risk are paramount.

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 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 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.

Compare across providers

Other models from the same provider

See every tracked AI pricing change →