Gemini 3.8 Flash 50K-Token Cost: 50M Monthly Pipeline

Complete Analysis: 65,000 tokens for Gemini 3.8 Flash
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.8 Flash model with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.019219 Total Cost
65,000 Total Tokens
3 minutes, 24.74 seconds Processing Time
318 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Gemini 3.8 Flash

GoogleMax Context: 1,048,576 tokens
$0.75 / $3.75 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

$0.019219 Total Cost
$0.004688 Input Cost
$0.014063 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
$0.000296Cost per 1K
3,382,114Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

3m 24s Processing Time
340 Tokens/Second
105ms Time to First Token
318 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 3.8 Flash Google 1048576

$0.019219
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) $0.023438 (rounded ~ $0.02) Input: $0.009375
Output: $0.014063 (rounded ~ $0.01)
Optimized Cost $0.019219 Input: $0.009375
Output: $0.014063 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.004219 18.0% 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: $0.009375
  • Output Cost: $0.014063 (rounded ~ $0.01)
  • Total Cost: $0.019219
  • Cost per 1K tokens: $0.000296
  • Tokens per dollar: 3,382,114 tokens
  • Context Window: 1048576 tokens

Speed & Performance Analysis

With a processing speed of 340 tokens per second and 105ms time to first token:

  • Processing Time: 3 minutes, 24.74 seconds
  • Latency: 105 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

High-volume research drafting and automated literature review pipelines requiring fastcoherent long-form output.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.8 Flash
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 15,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.8 Flash
🏆 Claude Haiku 5.5
Anthropic
 $0.005125 (rounded ~ $0.01) Best Value ↓ 73.3% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.005125 (rounded ~ $0.01) ↓ 73.3% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.005875 (rounded ~ $0.01) ↓ 69.4% cheaper
#4 Gemini 3.1 Flash Lite
Google
 $0.007344 (rounded ~ $0.01) ↓ 61.8% cheaper
#5 Mistral Large 3
Mistral AI
 $0.009063 ↓ 52.8% cheaper
#6 Gemini 3.5 Flash-Lite
Google
 $0.011438 (rounded ~ $0.01) ↓ 40.5% cheaper
#7 Gemini 2.5 Flash
Google
 $0.011438 (rounded ~ $0.01) ↓ 40.5% cheaper
#8 Gemini 3.6 Flash
Google
 $0.019219 Same price
#9 GPT-5.4 mini
OpenAI
 $0.022031 (rounded ~ $0.02) ↑ 14.6% more
#10 Mistral Large 4
Mistral AI
 $0.025025 (rounded ~ $0.03) ↑ 30.2% more
#11 Claude Haiku 4.5
Anthropic
 $0.025625 (rounded ~ $0.03) ↑ 33.3% more
#12 Gemini 3.1 Flash
Google
 $0.029375 ↑ 52.8% more
#13 Claude Sonnet 5.5
Anthropic
 $0.050625 ↑ 163.4% more
#14 Gemini 4 Argon
Google
 $0.051250 (rounded ~ $0.05) ↑ 166.7% more
#15 Claude Sonnet 5
Anthropic
 $0.051250 (rounded ~ $0.05) ↑ 166.7% more
#16 Grok 4.3
xAI
 $0.057500 (rounded ~ $0.06) ↑ 199.2% more
#17 Grok 4.20 Beta
xAI
 $0.057500 (rounded ~ $0.06) ↑ 199.2% more
#18 GPT-5.6 Terra
OpenAI
 $0.058750 (rounded ~ $0.06) ↑ 205.7% more
#19 GPT-5.3 Codex Spark
OpenAI
 $0.064531 (rounded ~ $0.06) ↑ 235.8% more
#20 GPT-5.3 Instant
OpenAI
 $0.064531 (rounded ~ $0.06) ↑ 235.8% more
#21 Claude Sonnet 4.6
Anthropic
 $0.076875 (rounded ~ $0.08) ↑ 300% more
#22 Gemini 2.5 Pro
Google
 $0.092188 (rounded ~ $0.09) ↑ 379.7% more
#23 Claude Opus 5.5
Anthropic
 $0.101250 (rounded ~ $0.10) ↑ 426.8% more
#24 GPT-6.1 Sol
OpenAI
 $0.102500 (rounded ~ $0.10) ↑ 433.3% more
#25 GPT-6 Sol
OpenAI
 $0.102500 (rounded ~ $0.10) ↑ 433.3% more
#26 GPT-5.6 Sol
OpenAI
 $0.102500 (rounded ~ $0.10) ↑ 433.3% more
#27 Gemini 3.1 Pro
Google
 $0.117500 (rounded ~ $0.12) ↑ 511.4% more
#28 Claude Opus 4.7
Anthropic
 $0.128125 (rounded ~ $0.13) ↑ 566.7% more
#29 Claude Opus 5
Anthropic
 $0.128125 (rounded ~ $0.13) ↑ 566.7% more
#30 Claude Opus 4.8
Anthropic
 $0.128125 (rounded ~ $0.13) ↑ 566.7% more
#31 Claude Opus 4.6
Anthropic
 $0.128125 (rounded ~ $0.13) ↑ 566.7% more
#32 GPT-5.4
OpenAI
 $0.146875 (rounded ~ $0.15) ↑ 664.2% more
#33 GPT-5.4 Thinking
OpenAI
 $0.146875 (rounded ~ $0.15) ↑ 664.2% more
#34 GPT-5.5 Instant
OpenAI
 $0.146875 (rounded ~ $0.15) ↑ 664.2% more
#35 Claude Fable 5.1
Anthropic
 $0.251563 (rounded ~ $0.25) ↑ 1208.9% more
#36 Claude Mythos 5.1
Anthropic
 $0.251563 (rounded ~ $0.25) ↑ 1208.9% more
#37 Claude Fable 5
Anthropic
 $0.256250 (rounded ~ $0.26) ↑ 1233.3% more
#38 Claude Mythos 5
Anthropic
 $0.256250 (rounded ~ $0.26) ↑ 1233.3% more
#39 GPT-5.5
OpenAI
 $0.293750 (rounded ~ $0.29) ↑ 1428.5% more
#40 GPT-6 Astra
OpenAI
 $0.512500 (rounded ~ $0.51) ↑ 2566.7% more
#41 GPT-5.2 Pro
OpenAI
 $0.774375 (rounded ~ $0.77) ↑ 3929.3% more
#42 GPT-5.2 Pro
OpenAI
 $0.774375 (rounded ~ $0.77) ↑ 3929.3% more
🏆

Claude Haiku 5.5
Anthropic

$0.005125 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 73.3%
🥈

GPT-6 Luna
OpenAI

$0.005125 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 73.3%
🥉

GPT-5.6 Luna
OpenAI

$0.005875 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 69.4%
#4

Gemini 3.1 Flash Lite
Google

$0.007344 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 61.8%
#5

Mistral Large 3
Mistral AI

$0.009063
vs Gemini 3.8 Flash: ↓ 52.8%
#6

Gemini 3.5 Flash-Lite
Google

$0.011438 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 40.5%
#7

Gemini 2.5 Flash
Google

$0.011438 (rounded ~ $0.01)
vs Gemini 3.8 Flash: ↓ 40.5%
#8

Gemini 3.6 Flash
Google

$0.019219
vs Gemini 3.8 Flash: Same
#9

GPT-5.4 mini
OpenAI

$0.022031 (rounded ~ $0.02)
vs Gemini 3.8 Flash: ↑ 14.6%
#10

Mistral Large 4
Mistral AI

$0.025025 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 30.2%
#11

Claude Haiku 4.5
Anthropic

$0.025625 (rounded ~ $0.03)
vs Gemini 3.8 Flash: ↑ 33.3%
#12

Gemini 3.1 Flash
Google

$0.029375
vs Gemini 3.8 Flash: ↑ 52.8%
#13

Claude Sonnet 5.5
Anthropic

$0.050625
vs Gemini 3.8 Flash: ↑ 163.4%
#14

Gemini 4 Argon
Google

$0.051250 (rounded ~ $0.05)
vs Gemini 3.8 Flash: ↑ 166.7%
#15

Claude Sonnet 5
Anthropic

$0.051250 (rounded ~ $0.05)
vs Gemini 3.8 Flash: ↑ 166.7%
#16

Grok 4.3
xAI

$0.057500 (rounded ~ $0.06)
vs Gemini 3.8 Flash: ↑ 199.2%
#17

Grok 4.20 Beta
xAI

$0.057500 (rounded ~ $0.06)
vs Gemini 3.8 Flash: ↑ 199.2%
#18

GPT-5.6 Terra
OpenAI

$0.058750 (rounded ~ $0.06)
vs Gemini 3.8 Flash: ↑ 205.7%
#19

GPT-5.3 Codex Spark
OpenAI

$0.064531 (rounded ~ $0.06)
vs Gemini 3.8 Flash: ↑ 235.8%
#20

GPT-5.3 Instant
OpenAI

$0.064531 (rounded ~ $0.06)
vs Gemini 3.8 Flash: ↑ 235.8%
#21

Claude Sonnet 4.6
Anthropic

$0.076875 (rounded ~ $0.08)
vs Gemini 3.8 Flash: ↑ 300%
#22

Gemini 2.5 Pro
Google

$0.092188 (rounded ~ $0.09)
vs Gemini 3.8 Flash: ↑ 379.7%
#23

Claude Opus 5.5
Anthropic

$0.101250 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 426.8%
#24

GPT-6.1 Sol
OpenAI

$0.102500 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 433.3%
#25

GPT-6 Sol
OpenAI

$0.102500 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 433.3%
#26

GPT-5.6 Sol
OpenAI

$0.102500 (rounded ~ $0.10)
vs Gemini 3.8 Flash: ↑ 433.3%
#27

Gemini 3.1 Pro
Google

$0.117500 (rounded ~ $0.12)
vs Gemini 3.8 Flash: ↑ 511.4%
#28

Claude Opus 4.7
Anthropic

$0.128125 (rounded ~ $0.13)
vs Gemini 3.8 Flash: ↑ 566.7%
#29

Claude Opus 5
Anthropic

$0.128125 (rounded ~ $0.13)
vs Gemini 3.8 Flash: ↑ 566.7%
#30

Claude Opus 4.8
Anthropic

$0.128125 (rounded ~ $0.13)
vs Gemini 3.8 Flash: ↑ 566.7%
#31

Claude Opus 4.6
Anthropic

$0.128125 (rounded ~ $0.13)
vs Gemini 3.8 Flash: ↑ 566.7%
#32

GPT-5.4
OpenAI

$0.146875 (rounded ~ $0.15)
vs Gemini 3.8 Flash: ↑ 664.2%
#33

GPT-5.4 Thinking
OpenAI

$0.146875 (rounded ~ $0.15)
vs Gemini 3.8 Flash: ↑ 664.2%
#34

GPT-5.5 Instant
OpenAI

$0.146875 (rounded ~ $0.15)
vs Gemini 3.8 Flash: ↑ 664.2%
#35

Claude Fable 5.1
Anthropic

$0.251563 (rounded ~ $0.25)
vs Gemini 3.8 Flash: ↑ 1208.9%
#36

Claude Mythos 5.1
Anthropic

$0.251563 (rounded ~ $0.25)
vs Gemini 3.8 Flash: ↑ 1208.9%
#37

Claude Fable 5
Anthropic

$0.256250 (rounded ~ $0.26)
vs Gemini 3.8 Flash: ↑ 1233.3%
#38

Claude Mythos 5
Anthropic

$0.256250 (rounded ~ $0.26)
vs Gemini 3.8 Flash: ↑ 1233.3%
#39

GPT-5.5
OpenAI

$0.293750 (rounded ~ $0.29)
vs Gemini 3.8 Flash: ↑ 1428.5%
#40

GPT-6 Astra
OpenAI

$0.512500 (rounded ~ $0.51)
vs Gemini 3.8 Flash: ↑ 2566.7%
#41

GPT-5.2 Pro
OpenAI

$0.774375 (rounded ~ $0.77)
vs Gemini 3.8 Flash: ↑ 3929.3%
#42

GPT-5.2 Pro
OpenAI

$0.774375 (rounded ~ $0.77)
vs Gemini 3.8 Flash: ↑ 3929.3%
✨ 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.

Optimizing Research Drafting Pipelines

For engineering teams building automated research tools, the primary challenge in literature review and paper drafting is maintaining coherence across extended outputs while minimizing latency. Gemini 3.8 Flash is specifically designed for these high-throughput requirements. By leveraging a large context window, this model enables developers to feed complex research guidelines and massive source datasets into a single call, which is essential for consistent drafting of long-form academic content.

When scaling to 50 million tokens per month, managing the trade-off between reasoning depth and response speed is paramount. This model provides the necessary performance to support real-time user experiences, such as voice-activated research assistants where the time-to-first-token is critical. For voice AI engineers, the ability to process 50K-token inputs without significant latency degradation allows for more fluid, responsive interactions that don’t feel like traditional, sluggish batch processing.

The model’s efficiency is particularly beneficial for high-volume pipelines where cost predictability is as important as technical capability. By maintaining a high performance-to-cost ratio, it allows SaaS teams to scale their research features without compromising on the quality of the generated text. Furthermore, the model’s support for tool-use and thinking capabilities ensures that complex, multi-step research requests—like cross-referencing citations or synthesizing disparate data points—are handled accurately. Choosing the right context management strategy, including the effective use of cached context for recurring research templates, will significantly impact the overall stability and performance of your production system.

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 3.8 Flash currently costs $0.75 / $3.75 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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