Gemini 4 Argon: HR Performance Review Pricing at 200K Tokens

Complete Analysis: 202,000 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) 📊 Batch API
$0.060000 Total Cost
202,000 Total Tokens
20 minutes, 0.96 seconds Processing Time
168 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

$0.060000 Total Cost
$0.050000 Input Cost
$0.005000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
202,000Total Tokens
$0.000297Cost per 1K
3,366,667Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

20m 0s 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

Gemini 4 Argon Google 1048576

$0.060000
Total Cost
⚡ 50% 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) $0.105000 (rounded ~ $0.11) Input: $0.100000
Output: $0.005000 (rounded ~ $0.01)
Optimized Cost $0.060000 Input: $0.100000
Output: $0.005000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.045000 (rounded ~ $0.05) 42.9% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.100000
  • Output Cost: $0.005000 (rounded ~ $0.01)
  • Total Cost: $0.060000
  • Cost per 1K tokens: $0.000297
  • Tokens per dollar: 3,366,667 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: 20 minutes, 0.96 seconds
  • Latency: 260 milliseconds to first token
  • Base Throughput: 180 tokens/second
  • Effective Throughput: 168 tokens/second (temperature-adjusted)

Best Use Cases

Best for complexmulti-step agentic workflows where high-reasoning orchestration and large context windows are essential for consistent output.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 4 Argon
📋 Active Input Parameters
Input Tokens: 200,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 4 Argon
🏆 GPT-6 Luna
OpenAI
 $0.006000 (rounded ~ $0.01) Best Value ↓ 90% cheaper
🥈 GPT-5.6 Luna
OpenAI
 $0.006100 (rounded ~ $0.01) ↓ 89.8% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.007625 (rounded ~ $0.01) ↓ 87.3% cheaper
#4 Gemini 3.5 Flash-Lite
Google
 $0.009500 ↓ 84.2% cheaper
#5 Gemini 2.5 Flash
Google
 $0.009500 ↓ 84.2% cheaper
#6 Mistral Large 3
Mistral AI
 $0.014500 (rounded ~ $0.01) ↓ 75.8% cheaper
#7 Gemini 3.8 Flash
Google
 $0.022500 (rounded ~ $0.02) ↓ 62.5% cheaper
#8 Gemini 3.6 Flash
Google
 $0.022500 (rounded ~ $0.02) ↓ 62.5% cheaper
#9 GPT-5.4 mini
OpenAI
 $0.022875 (rounded ~ $0.02) ↓ 61.9% cheaper
#10 Claude Haiku 5.5
Anthropic
 $0.030000 ↓ 50% cheaper
#11 Claude Haiku 4.5
Anthropic
 $0.030000 ↓ 50% cheaper
#12 Gemini 3.1 Flash
Google
 $0.030500 ↓ 49.2% cheaper
#13 Mistral Large 4
Mistral AI
 $0.039490 ↓ 34.2% cheaper
#14 Claude Sonnet 5.5
Anthropic
 $0.057500 (rounded ~ $0.06) ↓ 4.2% cheaper
#15 Claude Sonnet 5
Anthropic
 $0.060000 Same price
#16 GPT-5.6 Terra
OpenAI
 $0.061000 (rounded ~ $0.06) ↑ 1.7% more
#17 Gemini 2.5 Pro
Google
 $0.078750 (rounded ~ $0.08) ↑ 31.3% more
#18 Claude Sonnet 4.6
Anthropic
 $0.090000 ↑ 50% more
#19 Grok 4.3
xAI
 $0.114000 (rounded ~ $0.11) ↑ 90% more
#20 Grok 4.20 Beta
xAI
 $0.114000 (rounded ~ $0.11) ↑ 90% more
#21 Claude Opus 5.5
Anthropic
 $0.115000 (rounded ~ $0.12) ↑ 91.7% more
#22 GPT-6.1 Sol
OpenAI
 $0.120000 ↑ 100% more
#23 GPT-6 Sol
OpenAI
 $0.120000 ↑ 100% more
#24 GPT-5.6 Sol
OpenAI
 $0.120000 ↑ 100% more
#25 Gemini 3.1 Pro
Google
 $0.122000 (rounded ~ $0.12) ↑ 103.3% more
#26 Claude Opus 4.7
Anthropic
 $0.150000 ↑ 150% more
#27 Claude Opus 5
Anthropic
 $0.150000 ↑ 150% more
#28 Claude Opus 4.8
Anthropic
 $0.150000 ↑ 150% more
#29 Claude Opus 4.6
Anthropic
 $0.150000 ↑ 150% more
#30 GPT-5.4
OpenAI
 $0.152500 (rounded ~ $0.15) ↑ 154.2% more
#31 GPT-5.4 Thinking
OpenAI
 $0.152500 (rounded ~ $0.15) ↑ 154.2% more
#32 GPT-5.5 Instant
OpenAI
 $0.152500 (rounded ~ $0.15) ↑ 154.2% more
#33 Claude Fable 5.1
Anthropic
 $0.281250 (rounded ~ $0.28) ↑ 368.8% more
#34 Claude Mythos 5.1
Anthropic
 $0.281250 (rounded ~ $0.28) ↑ 368.8% more
#35 Claude Fable 5
Anthropic
 $0.300000 ↑ 400% more
#36 Claude Mythos 5
Anthropic
 $0.300000 ↑ 400% more
#37 GPT-5.5
OpenAI
 $0.305000 (rounded ~ $0.31) ↑ 408.3% more
#38 GPT-6 Astra
OpenAI
 $0.600000 ↑ 900% more
#39 GPT-6 Astra
OpenAI
 $0.600000 ↑ 900% more
🏆

GPT-6 Luna
OpenAI

$0.006000 (rounded ~ $0.01)
vs Gemini 4 Argon: ↓ 90%
🥈

GPT-5.6 Luna
OpenAI

$0.006100 (rounded ~ $0.01)
vs Gemini 4 Argon: ↓ 89.8%
🥉

Gemini 3.1 Flash Lite
Google

$0.007625 (rounded ~ $0.01)
vs Gemini 4 Argon: ↓ 87.3%
#4

Gemini 3.5 Flash-Lite
Google

$0.009500
vs Gemini 4 Argon: ↓ 84.2%
#5

Gemini 2.5 Flash
Google

$0.009500
vs Gemini 4 Argon: ↓ 84.2%
#6

Mistral Large 3
Mistral AI

$0.014500 (rounded ~ $0.01)
vs Gemini 4 Argon: ↓ 75.8%
#7

Gemini 3.8 Flash
Google

$0.022500 (rounded ~ $0.02)
vs Gemini 4 Argon: ↓ 62.5%
#8

Gemini 3.6 Flash
Google

$0.022500 (rounded ~ $0.02)
vs Gemini 4 Argon: ↓ 62.5%
#9

GPT-5.4 mini
OpenAI

$0.022875 (rounded ~ $0.02)
vs Gemini 4 Argon: ↓ 61.9%
#10

Claude Haiku 5.5
Anthropic

$0.030000
vs Gemini 4 Argon: ↓ 50%
#11

Claude Haiku 4.5
Anthropic

$0.030000
vs Gemini 4 Argon: ↓ 50%
#12

Gemini 3.1 Flash
Google

$0.030500
vs Gemini 4 Argon: ↓ 49.2%
#13

Mistral Large 4
Mistral AI

$0.039490
vs Gemini 4 Argon: ↓ 34.2%
#14

Claude Sonnet 5.5
Anthropic

$0.057500 (rounded ~ $0.06)
vs Gemini 4 Argon: ↓ 4.2%
#15

Claude Sonnet 5
Anthropic

$0.060000
vs Gemini 4 Argon: Same
#16

GPT-5.6 Terra
OpenAI

$0.061000 (rounded ~ $0.06)
vs Gemini 4 Argon: ↑ 1.7%
#17

Gemini 2.5 Pro
Google

$0.078750 (rounded ~ $0.08)
vs Gemini 4 Argon: ↑ 31.3%
#18

Claude Sonnet 4.6
Anthropic

$0.090000
vs Gemini 4 Argon: ↑ 50%
#19

Grok 4.3
xAI

$0.114000 (rounded ~ $0.11)
vs Gemini 4 Argon: ↑ 90%
#20

Grok 4.20 Beta
xAI

$0.114000 (rounded ~ $0.11)
vs Gemini 4 Argon: ↑ 90%
#21

Claude Opus 5.5
Anthropic

$0.115000 (rounded ~ $0.12)
vs Gemini 4 Argon: ↑ 91.7%
#22

GPT-6.1 Sol
OpenAI

$0.120000
vs Gemini 4 Argon: ↑ 100%
#23

GPT-6 Sol
OpenAI

$0.120000
vs Gemini 4 Argon: ↑ 100%
#24

GPT-5.6 Sol
OpenAI

$0.120000
vs Gemini 4 Argon: ↑ 100%
#25

Gemini 3.1 Pro
Google

$0.122000 (rounded ~ $0.12)
vs Gemini 4 Argon: ↑ 103.3%
#26

Claude Opus 4.7
Anthropic

$0.150000
vs Gemini 4 Argon: ↑ 150%
#27

Claude Opus 5
Anthropic

$0.150000
vs Gemini 4 Argon: ↑ 150%
#28

Claude Opus 4.8
Anthropic

$0.150000
vs Gemini 4 Argon: ↑ 150%
#29

Claude Opus 4.6
Anthropic

$0.150000
vs Gemini 4 Argon: ↑ 150%
#30

GPT-5.4
OpenAI

$0.152500 (rounded ~ $0.15)
vs Gemini 4 Argon: ↑ 154.2%
#31

GPT-5.4 Thinking
OpenAI

$0.152500 (rounded ~ $0.15)
vs Gemini 4 Argon: ↑ 154.2%
#32

GPT-5.5 Instant
OpenAI

$0.152500 (rounded ~ $0.15)
vs Gemini 4 Argon: ↑ 154.2%
#33

Claude Fable 5.1
Anthropic

$0.281250 (rounded ~ $0.28)
vs Gemini 4 Argon: ↑ 368.8%
#34

Claude Mythos 5.1
Anthropic

$0.281250 (rounded ~ $0.28)
vs Gemini 4 Argon: ↑ 368.8%
#35

Claude Fable 5
Anthropic

$0.300000
vs Gemini 4 Argon: ↑ 400%
#36

Claude Mythos 5
Anthropic

$0.300000
vs Gemini 4 Argon: ↑ 400%
#37

GPT-5.5
OpenAI

$0.305000 (rounded ~ $0.31)
vs Gemini 4 Argon: ↑ 408.3%
#38

GPT-6 Astra
OpenAI

$0.600000
vs Gemini 4 Argon: ↑ 900%
#39

GPT-6 Astra
OpenAI

$0.600000
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.

When building multi-agent workflows for HR performance review automation, selecting the right model is critical to balancing reasoning depth with throughput. In an orchestrator-worker pattern, the orchestrator must maintain context across diverse employee files while the worker agent drafts specific feedback segments. This requires a model that handles large inputs effectively without losing track of nuanced performance guidelines or sensitive policy constraints.

Gemini 4 Argon offers a compelling balance for this architecture. Its native multimodal capabilities allow it to process both text-heavy HR policies and historical performance data in various formats seamlessly. For agencies and HR tech firms integrating these agents, the model’s advanced reasoning capabilities are particularly relevant during the orchestration phase, where interpreting complex management feedback into consistent, actionable review drafts is required.

Unlike simpler models, this architecture handles the 200K-token context window required for comprehensive reviews without significant degradation in coherence. When deploying these agents, consider the latency trade-offs inherent in multi-agent handoffs. While the orchestrator needs high reasoning capability to manage the worker agents effectively, maintaining model consistency across the pipeline is often preferred to prevent hallucinations in sensitive HR documentation. This ensures that the generated feedback remains aligned with corporate standards and regulatory compliance requirements across the entire document pipeline. By utilizing a model with high reasoning capacity, translation agencies can provide more reliable, context-aware output for enterprise HR automation projects.

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.

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