Gemini 4 Argon Pricing for Scientific Literature: 65K-Token Review Pipelines

Complete Analysis: 65,000 tokens for Gemini 4 Argon
⚡ 80% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 4 Argon model with 80% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.044500 (rounded ~ $0.04) Total Cost
65,000 Total Tokens
6 minutes, 19.35 seconds Processing Time
171 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
80%
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

$0.044500 Total Cost
$0.005000 Input Cost
$0.037500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
65,000Total Tokens
$0.000685Cost per 1K
1,460,674Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

6m 19s Processing Time
180 Tokens/Second
260ms Time to First Token
171 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

$0.044500 (rounded ~ $0.04)
Total Cost
⚡ 80% 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) $0.062500 (rounded ~ $0.06) Input: $0.025000 (rounded ~ $0.03)
Output: $0.037500 (rounded ~ $0.04)
Optimized Cost $0.044500 (rounded ~ $0.04) Input: $0.025000 (rounded ~ $0.03)
Output: $0.037500 (rounded ~ $0.04)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.018000 (rounded ~ $0.02) 28.8% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 15,000 output tokens:

  • Input Cost: $0.025000 (rounded ~ $0.03)
  • Output Cost: $0.037500 (rounded ~ $0.04)
  • Total Cost: $0.044500 (rounded ~ $0.04)
  • Cost per 1K tokens: $0.000685
  • Tokens per dollar: 1,460,674 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: 6 minutes, 19.35 seconds
  • Latency: 260 milliseconds to first token
  • Base Throughput: 180 tokens/second
  • Effective Throughput: 171 tokens/second (temperature-adjusted)

Best Use Cases

Well-suited for complexmulti-turn literature reviews and technical document synthesis involving multimodal data.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 4 Argon
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 15,000
Batch API: Enabled (50% discount)
Cached Tokens: 80%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 4 Argon
🏆 Claude Haiku 5.5
Anthropic
 $0.004450 Best Value ↓ 90% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.004450 ↓ 90% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.005200 (rounded ~ $0.01) ↓ 88.3% cheaper
#4 Gemini 3.1 Flash Lite
Google
 $0.006500 (rounded ~ $0.01) ↓ 85.4% cheaper
#5 Mistral Large 3
Mistral AI
 $0.007375 (rounded ~ $0.01) ↓ 83.4% cheaper
#6 Gemini 3.5 Flash-Lite
Google
 $0.010425 ↓ 76.6% cheaper
#7 Gemini 2.5 Flash
Google
 $0.010425 ↓ 76.6% cheaper
#8 Gemini 3.8 Flash
Google
 $0.016688 (rounded ~ $0.02) ↓ 62.5% cheaper
#9 Gemini 3.6 Flash
Google
 $0.016688 (rounded ~ $0.02) ↓ 62.5% cheaper
#10 GPT-5.4 mini
OpenAI
 $0.019500 ↓ 56.2% cheaper
#11 Mistral Large 4
Mistral AI
 $0.020435 ↓ 54.1% cheaper
#12 Claude Haiku 4.5
Anthropic
 $0.022250 (rounded ~ $0.02) ↓ 50% cheaper
#13 Gemini 3.1 Flash
Google
 $0.026000 (rounded ~ $0.03) ↓ 41.6% cheaper
#14 Claude Sonnet 5.5
Anthropic
 $0.043500 (rounded ~ $0.04) ↓ 2.2% cheaper
#15 Grok 4.3
xAI
 $0.044000 (rounded ~ $0.04) ↓ 1.1% cheaper
#16 Grok 4.20 Beta
xAI
 $0.044000 (rounded ~ $0.04) ↓ 1.1% cheaper
#17 Claude Sonnet 5
Anthropic
 $0.044500 (rounded ~ $0.04) Same price
#18 GPT-5.6 Terra
OpenAI
 $0.052000 (rounded ~ $0.05) ↑ 16.9% more
#19 GPT-5.3 Codex Spark
OpenAI
 $0.058625 (rounded ~ $0.06) ↑ 31.7% more
#20 GPT-5.3 Instant
OpenAI
 $0.058625 (rounded ~ $0.06) ↑ 31.7% more
#21 Claude Sonnet 4.6
Anthropic
 $0.066750 (rounded ~ $0.07) ↑ 50% more
#22 Gemini 2.5 Pro
Google
 $0.083750 (rounded ~ $0.08) ↑ 88.2% more
#23 Claude Opus 5.5
Anthropic
 $0.087000 (rounded ~ $0.09) ↑ 95.5% more
#24 GPT-6.1 Sol
OpenAI
 $0.089000 (rounded ~ $0.09) ↑ 100% more
#25 GPT-6 Sol
OpenAI
 $0.089000 (rounded ~ $0.09) ↑ 100% more
#26 GPT-5.6 Sol
OpenAI
 $0.089000 (rounded ~ $0.09) ↑ 100% more
#27 Gemini 3.1 Pro
Google
 $0.104000 (rounded ~ $0.10) ↑ 133.7% more
#28 Claude Opus 4.7
Anthropic
 $0.111250 (rounded ~ $0.11) ↑ 150% more
#29 Claude Opus 5
Anthropic
 $0.111250 (rounded ~ $0.11) ↑ 150% more
#30 Claude Opus 4.8
Anthropic
 $0.111250 (rounded ~ $0.11) ↑ 150% more
#31 Claude Opus 4.6
Anthropic
 $0.111250 (rounded ~ $0.11) ↑ 150% more
#32 GPT-5.4
OpenAI
 $0.130000 ↑ 192.1% more
#33 GPT-5.4 Thinking
OpenAI
 $0.130000 ↑ 192.1% more
#34 GPT-5.5 Instant
OpenAI
 $0.130000 ↑ 192.1% more
#35 Claude Fable 5.1
Anthropic
 $0.215000 (rounded ~ $0.22) ↑ 383.1% more
#36 Claude Mythos 5.1
Anthropic
 $0.215000 (rounded ~ $0.22) ↑ 383.1% more
#37 Claude Fable 5
Anthropic
 $0.222500 (rounded ~ $0.22) ↑ 400% more
#38 Claude Mythos 5
Anthropic
 $0.222500 (rounded ~ $0.22) ↑ 400% more
#39 GPT-5.5
OpenAI
 $0.260000 ↑ 484.3% more
#40 GPT-6 Astra
OpenAI
 $0.445000 (rounded ~ $0.45) ↑ 900% more
#41 GPT-5.2 Pro
OpenAI
 $0.703500 (rounded ~ $0.70) ↑ 1480.9% more
#42 GPT-5.2 Pro
OpenAI
 $0.703500 (rounded ~ $0.70) ↑ 1480.9% more
🏆

Claude Haiku 5.5
Anthropic

$0.004450
vs Gemini 4 Argon: ↓ 90%
🥈

GPT-6 Luna
OpenAI

$0.004450
vs Gemini 4 Argon: ↓ 90%
🥉

GPT-5.6 Luna
OpenAI

$0.005200 (rounded ~ $0.01)
vs Gemini 4 Argon: ↓ 88.3%
#4

Gemini 3.1 Flash Lite
Google

$0.006500 (rounded ~ $0.01)
vs Gemini 4 Argon: ↓ 85.4%
#5

Mistral Large 3
Mistral AI

$0.007375 (rounded ~ $0.01)
vs Gemini 4 Argon: ↓ 83.4%
#6

Gemini 3.5 Flash-Lite
Google

$0.010425
vs Gemini 4 Argon: ↓ 76.6%
#7

Gemini 2.5 Flash
Google

$0.010425
vs Gemini 4 Argon: ↓ 76.6%
#8

Gemini 3.8 Flash
Google

$0.016688 (rounded ~ $0.02)
vs Gemini 4 Argon: ↓ 62.5%
#9

Gemini 3.6 Flash
Google

$0.016688 (rounded ~ $0.02)
vs Gemini 4 Argon: ↓ 62.5%
#10

GPT-5.4 mini
OpenAI

$0.019500
vs Gemini 4 Argon: ↓ 56.2%
#11

Mistral Large 4
Mistral AI

$0.020435
vs Gemini 4 Argon: ↓ 54.1%
#12

Claude Haiku 4.5
Anthropic

$0.022250 (rounded ~ $0.02)
vs Gemini 4 Argon: ↓ 50%
#13

Gemini 3.1 Flash
Google

$0.026000 (rounded ~ $0.03)
vs Gemini 4 Argon: ↓ 41.6%
#14

Claude Sonnet 5.5
Anthropic

$0.043500 (rounded ~ $0.04)
vs Gemini 4 Argon: ↓ 2.2%
#15

Grok 4.3
xAI

$0.044000 (rounded ~ $0.04)
vs Gemini 4 Argon: ↓ 1.1%
#16

Grok 4.20 Beta
xAI

$0.044000 (rounded ~ $0.04)
vs Gemini 4 Argon: ↓ 1.1%
#17

Claude Sonnet 5
Anthropic

$0.044500 (rounded ~ $0.04)
vs Gemini 4 Argon: Same
#18

GPT-5.6 Terra
OpenAI

$0.052000 (rounded ~ $0.05)
vs Gemini 4 Argon: ↑ 16.9%
#19

GPT-5.3 Codex Spark
OpenAI

$0.058625 (rounded ~ $0.06)
vs Gemini 4 Argon: ↑ 31.7%
#20

GPT-5.3 Instant
OpenAI

$0.058625 (rounded ~ $0.06)
vs Gemini 4 Argon: ↑ 31.7%
#21

Claude Sonnet 4.6
Anthropic

$0.066750 (rounded ~ $0.07)
vs Gemini 4 Argon: ↑ 50%
#22

Gemini 2.5 Pro
Google

$0.083750 (rounded ~ $0.08)
vs Gemini 4 Argon: ↑ 88.2%
#23

Claude Opus 5.5
Anthropic

$0.087000 (rounded ~ $0.09)
vs Gemini 4 Argon: ↑ 95.5%
#24

GPT-6.1 Sol
OpenAI

$0.089000 (rounded ~ $0.09)
vs Gemini 4 Argon: ↑ 100%
#25

GPT-6 Sol
OpenAI

$0.089000 (rounded ~ $0.09)
vs Gemini 4 Argon: ↑ 100%
#26

GPT-5.6 Sol
OpenAI

$0.089000 (rounded ~ $0.09)
vs Gemini 4 Argon: ↑ 100%
#27

Gemini 3.1 Pro
Google

$0.104000 (rounded ~ $0.10)
vs Gemini 4 Argon: ↑ 133.7%
#28

Claude Opus 4.7
Anthropic

$0.111250 (rounded ~ $0.11)
vs Gemini 4 Argon: ↑ 150%
#29

Claude Opus 5
Anthropic

$0.111250 (rounded ~ $0.11)
vs Gemini 4 Argon: ↑ 150%
#30

Claude Opus 4.8
Anthropic

$0.111250 (rounded ~ $0.11)
vs Gemini 4 Argon: ↑ 150%
#31

Claude Opus 4.6
Anthropic

$0.111250 (rounded ~ $0.11)
vs Gemini 4 Argon: ↑ 150%
#32

GPT-5.4
OpenAI

$0.130000
vs Gemini 4 Argon: ↑ 192.1%
#33

GPT-5.4 Thinking
OpenAI

$0.130000
vs Gemini 4 Argon: ↑ 192.1%
#34

GPT-5.5 Instant
OpenAI

$0.130000
vs Gemini 4 Argon: ↑ 192.1%
#35

Claude Fable 5.1
Anthropic

$0.215000 (rounded ~ $0.22)
vs Gemini 4 Argon: ↑ 383.1%
#36

Claude Mythos 5.1
Anthropic

$0.215000 (rounded ~ $0.22)
vs Gemini 4 Argon: ↑ 383.1%
#37

Claude Fable 5
Anthropic

$0.222500 (rounded ~ $0.22)
vs Gemini 4 Argon: ↑ 400%
#38

Claude Mythos 5
Anthropic

$0.222500 (rounded ~ $0.22)
vs Gemini 4 Argon: ↑ 400%
#39

GPT-5.5
OpenAI

$0.260000
vs Gemini 4 Argon: ↑ 484.3%
#40

GPT-6 Astra
OpenAI

$0.445000 (rounded ~ $0.45)
vs Gemini 4 Argon: ↑ 900%
#41

GPT-5.2 Pro
OpenAI

$0.703500 (rounded ~ $0.70)
vs Gemini 4 Argon: ↑ 1480.9%
#42

GPT-5.2 Pro
OpenAI

$0.703500 (rounded ~ $0.70)
vs Gemini 4 Argon: ↑ 1480.9%
✨ 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.

For research teams managing extensive literature review pipelines, Gemini 4 Argon represents a significant advancement in frontier reasoning. This model is designed to handle complex, multi-turn investigations, which makes it particularly well-suited for summarizing dense scientific documentation or cross-referencing findings across disparate research papers. The core value for a customer support lead or technical analyst here is the model’s ability to sustain deep, multi-step tasks without losing coherence, even when the input volume reaches 65K tokens or more.

One of the primary benefits of deploying Gemini 4 Argon in a research context is its balance of multimodal understanding and strong writing capabilities. If your workflow involves not just text-based papers but also analyzing figures, charts, or diagrams within research documents, the model’s visual perception allows for a more integrated analysis than text-only alternatives. This is crucial for verifying data presented in graphical format against the textual claims in an abstract or discussion section. Additionally, the model’s reasoning effort can be adjusted, allowing teams to balance computational spend with the required depth of analysis for different types of documents—from quick exploratory summaries to intensive, audit-level reviews. While the model excels at deep work, teams should ensure their implementation accounts for the occasional latency associated with high-effort reasoning modes. For organizations looking to automate the synthesis of technical data at scale, Gemini 4 Argon provides a robust, highly capable foundation for modern research workflows.

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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