What are cached tokens and how do they save money?

Cached tokens are repeated input tokens (like system prompts or conversation history) that providers charge at a discounted rate. Google offers varying discounts for cached tokens (typically 50-80%). Your calculation saves money by applying caching to 60% of input tokens for optimized cost savings.

When should I use Batch API vs real-time API?

Use Batch API for non-realtime processing of large volumes where latency isn't critical (saves up to 40-60%). Use real-time API for interactive applications like chatbots. Batch processing is ideal for data analysis, content generation in bulk, and offline processing.

What should I consider when comparing different AI models?

When comparing AI models, focus on factors such as performance, accuracy, response speed, cost, scalability, and how well the model fits your specific use case. The right choice depends on your workload, budget, and the type of tasks you want the AI to handle. Using an AI cost and time calculator can help you make an informed, data-driven decision.

Gemini 3.8 Flash vs DeepSeek V4 Flash for 15,000-Token CV Screening

Name: DeepSeek V4 Flash
Brand: DeepSeek
Rating: 4.5 (89 reviews)

DeepSeek V4 Flash is no longer available

This model is deprecated. It may still respond for existing integrations, but it is no longer recommended for new work, and the figures below are retained as a historical record.

See current model pricing →

Gemini 3.8 Flash vs DeepSeek V4 Flash

Complete Comparison: 15,000 input tokens × 1,000 output tokens

⚡ 60% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 60% Cached.

⚡ Caching Optimized (up to 98% savings) 📊 Batch API

Comparison Criteria	Gemini 3.8 Flash Google	DeepSeek V4 Flash DeepSeek
Calculation Results (Current Inputs) (60% cached)
Input Tokens	15,000	15,000
Output Tokens	1,000	1,000
Cost Breakdown
Input Cost	$0.002813Worst	$0.002250Best
Output Cost	$0.000938Worst	$0.000600Best
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.002231 Most Expensive	$0.001527 Best Value
Processing Time	50.53 seconds Slowest	26.52 seconds Fastest
Tokens per Second	340Slowest	650Fastest
Time to First Token	105ms Worst	95ms Best
Cost per 1K tokens	$0.000139Worst	$0.000095Best
Tokens per Dollar	7,170,868Worst Value	10,478,062Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$0.187500 (rounded ~ $0.19)Worst	$0.150000Best
Output Cost / 1M (Base)	$0.937500 (rounded ~ $0.94)Worst	$0.600000Best
Input Cost / 1M (Optimized)	$0.093750 (rounded ~ $0.09)Best Optimizations: 50.0% batch	$0.150000Worst Optimizations: No optimizations applied
Output Cost / 1M (Optimized)	$0.468750 (rounded ~ $0.47)Best Optimizations: 50.0% batch	$0.600000Worst Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support	✓ Supported	✗ Not Supported
Video Support	✓ Supported	✗ Not Supported
Audio Support	✓ Supported	✗ Not Supported
Caching Support 60	✓ Supported	✓ Supported
Batch API Support	✓ Supported	✗ Not Supported
Tool Usage Support	✓ Supported	✓ Supported

Scroll horizontally to see all data

🔄 Compare Different AI Models

First Model

Provider

Model

Second Model

Provider

Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

Gemini 3.8 Flash Google 1048576

$0.002231

Total Cost

⚡ 60% 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) $0.003750 Input: $0.002813
Output: $0.000938

Optimized Cost $0.002231 Input: $0.002813
Output: $0.000938
Unit: $0.000000
Fees: $0.000000

Total Savings $0.001519 40.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API

50.0% off

Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 15,000 input tokens and 1,000 output tokens:

Input Cost: $0.002813
Output Cost: $0.000938
Total Cost: $0.002231
Cost per 1K tokens: $0.000139
Tokens per dollar: 7,170,868 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: 50.53 seconds
Latency: 105 milliseconds to first token
Base Throughput: 340 tokens/second
Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

Gemini for multi-modal resume/video analysis; DeepSeek for high-volume text-based screening efficiency.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.8 Flash. 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 →

DeepSeek V4 Flash DeepSeek 1000000

$0.001527

Total Cost

⚡ 60% Cached 📊 Batch API 🔧 Tools

👁️

Vision/Images

✗ Not Available

🎧

Audio Processing

✗ Not Available

🎥

Video Analysis

✗ Not Available

🔧

Tool Usage

✓ Available

📄

OCR Support

✗ Not Available

📊

Batch API

✗ Not Available

⚡

Caching

✓ Available

98% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.002850 Input: $0.002250
Output: $0.000600

Optimized Cost $0.001527 Input: $0.002250
Output: $0.000600
Unit: $0.000000
Fees: $0.000000

Total Savings $0.001323 46.4% discount

Detailed Cost Analysis (from Plugin)

For 15,000 input tokens and 1,000 output tokens:

Input Cost: $0.002250
Output Cost: $0.000600
Total Cost: $0.001527
Cost per 1K tokens: $0.000095
Tokens per dollar: 10,478,062 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 650 tokens per second and 95ms time to first token:

Processing Time: 26.52 seconds
Latency: 95 milliseconds to first token
Base Throughput: 650 tokens/second
Effective Throughput: 607 tokens/second (temperature-adjusted)

Best Use Cases

Gemini for multi-modal resume/video analysis; DeepSeek for high-volume text-based screening efficiency.

Want this applied to YOUR actual stack?

This calculator shows the math for DeepSeek V4 Flash. 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 3.8 Flash

📋 Active Input Parameters

Input Tokens: 15,000

Output Tokens: 1,000

Batch API: Enabled (50% discount)

Cached Tokens: 60%

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs Gemini 3.8 Flash	vs DeepSeek V4 Flash
🏆	Claude Haiku 5.5 Anthropic	$0.000595 Best Value	↓ 73.3% cheaper	↓ 61% cheaper
🥈	GPT-6 Luna OpenAI	$0.000595	↓ 73.3% cheaper	↓ 61% cheaper
🥉	GPT-5.6 Luna OpenAI	$0.000645	↓ 71.1% cheaper	↓ 57.8% cheaper
#4	Gemini 3.1 Flash Lite Google	$0.000806	↓ 63.9% cheaper	↓ 47.2% cheaper
#5	Gemini 3.5 Flash-Lite Google	$0.001143	↓ 48.8% cheaper	↓ 25.2% cheaper
#6	Gemini 2.5 Flash Google	$0.001143	↓ 48.8% cheaper	↓ 25.2% cheaper
#7	Mistral Large 3 Mistral AI	$0.001238	↓ 44.5% cheaper	↓ 19% cheaper
#8	Gemini 3.6 Flash Google	$0.002231	Same price	↑ 46.1% more
#9	GPT-5.4 mini OpenAI	$0.002419	↑ 8.4% more	↑ 58.4% more
#10	Claude Haiku 4.5 Anthropic	$0.002975	↑ 33.3% more	↑ 94.8% more
#11	Gemini 3.1 Flash Google	$0.003225	↑ 44.5% more	↑ 111.2% more
#12	Mistral Large 4 Mistral AI	$0.003391	↑ 52% more	↑ 122.1% more
#13	Claude Sonnet 5.5 Anthropic	$0.005725 (rounded ~ $0.01)	↑ 156.6% more	↑ 274.9% more
#14	Claude Sonnet 5 Anthropic	$0.005950 (rounded ~ $0.01)	↑ 166.7% more	↑ 289.7% more
#15	Gemini 4 Argon Google	$0.005950 (rounded ~ $0.01)	↑ 166.7% more	↑ 289.7% more
#16	GPT-5.6 Terra OpenAI	$0.006450 (rounded ~ $0.01)	↑ 189.1% more	↑ 322.4% more
#17	GPT-5.3 Codex Spark OpenAI	$0.006519 (rounded ~ $0.01)	↑ 192.2% more	↑ 326.9% more
#18	GPT-5.3 Instant OpenAI	$0.006519 (rounded ~ $0.01)	↑ 192.2% more	↑ 326.9% more
#19	Grok 4.3 xAI	$0.008900 (rounded ~ $0.01)	↑ 298.9% more	↑ 482.8% more
#20	Grok 4.20 Beta xAI	$0.008900 (rounded ~ $0.01)	↑ 298.9% more	↑ 482.8% more
#21	Claude Sonnet 4.6 Anthropic	$0.008925 (rounded ~ $0.01)	↑ 300% more	↑ 484.5% more
#22	Gemini 2.5 Pro Google	$0.009313	↑ 317.4% more	↑ 509.9% more
#23	Claude Opus 5.5 Anthropic	$0.011450 (rounded ~ $0.01)	↑ 413.2% more	↑ 649.8% more
#24	GPT-6.1 Sol OpenAI	$0.011900 (rounded ~ $0.01)	↑ 433.3% more	↑ 679.3% more
#25	GPT-6 Sol OpenAI	$0.011900 (rounded ~ $0.01)	↑ 433.3% more	↑ 679.3% more
#26	GPT-5.6 Sol OpenAI	$0.011900 (rounded ~ $0.01)	↑ 433.3% more	↑ 679.3% more
#27	Gemini 3.1 Pro Google	$0.012900 (rounded ~ $0.01)	↑ 478.2% more	↑ 744.8% more
#28	Claude Opus 4.7 Anthropic	$0.014875 (rounded ~ $0.01)	↑ 566.7% more	↑ 874.1% more
#29	Claude Opus 5 Anthropic	$0.014875 (rounded ~ $0.01)	↑ 566.7% more	↑ 874.1% more
#30	Claude Opus 4.8 Anthropic	$0.014875 (rounded ~ $0.01)	↑ 566.7% more	↑ 874.1% more
#31	Claude Opus 4.6 Anthropic	$0.014875 (rounded ~ $0.01)	↑ 566.7% more	↑ 874.1% more
#32	GPT-5.4 OpenAI	$0.016125 (rounded ~ $0.02)	↑ 622.7% more	↑ 956% more
#33	GPT-5.4 Thinking OpenAI	$0.016125 (rounded ~ $0.02)	↑ 622.7% more	↑ 956% more
#34	GPT-5.5 Instant OpenAI	$0.016125 (rounded ~ $0.02)	↑ 622.7% more	↑ 956% more
#35	Claude Fable 5.1 Anthropic	$0.028063 (rounded ~ $0.03)	↑ 1157.7% more	↑ 1737.8% more
#36	Claude Mythos 5.1 Anthropic	$0.028063 (rounded ~ $0.03)	↑ 1157.7% more	↑ 1737.8% more
#37	Claude Fable 5 Anthropic	$0.029750	↑ 1233.3% more	↑ 1848.3% more
#38	Claude Mythos 5 Anthropic	$0.029750	↑ 1233.3% more	↑ 1848.3% more
#39	GPT-5.5 OpenAI	$0.032250 (rounded ~ $0.03)	↑ 1345.4% more	↑ 2012% more
#40	GPT-6 Astra OpenAI	$0.059500	↑ 2566.7% more	↑ 3796.5% more
#41	GPT-5.2 Pro OpenAI	$0.078225 (rounded ~ $0.08)	↑ 3405.9% more	↑ 5022.8% more
#42	GPT-5.2 Pro OpenAI	$0.078225 (rounded ~ $0.08)	↑ 3405.9% more	↑ 5022.8% more

🏆

Claude Haiku 5.5
Anthropic

$0.000595

vs Gemini 3.8 Flash: ↓ 73.3%

vs DeepSeek V4 Flash: ↓ 61%

🥈

GPT-6 Luna
OpenAI

$0.000595

vs Gemini 3.8 Flash: ↓ 73.3%

vs DeepSeek V4 Flash: ↓ 61%

🥉

GPT-5.6 Luna
OpenAI

$0.000645

vs Gemini 3.8 Flash: ↓ 71.1%

vs DeepSeek V4 Flash: ↓ 57.8%

Gemini 3.1 Flash Lite
Google

$0.000806

vs Gemini 3.8 Flash: ↓ 63.9%

vs DeepSeek V4 Flash: ↓ 47.2%

Gemini 3.5 Flash-Lite
Google

$0.001143

vs Gemini 3.8 Flash: ↓ 48.8%

vs DeepSeek V4 Flash: ↓ 25.2%

Gemini 2.5 Flash
Google

$0.001143

vs Gemini 3.8 Flash: ↓ 48.8%

vs DeepSeek V4 Flash: ↓ 25.2%

Mistral Large 3
Mistral AI

$0.001238

vs Gemini 3.8 Flash: ↓ 44.5%

vs DeepSeek V4 Flash: ↓ 19%

Gemini 3.6 Flash
Google

$0.002231

vs Gemini 3.8 Flash: Same

vs DeepSeek V4 Flash: ↑ 46.1%

GPT-5.4 mini
OpenAI

$0.002419

vs Gemini 3.8 Flash: ↑ 8.4%

vs DeepSeek V4 Flash: ↑ 58.4%

#10

Claude Haiku 4.5
Anthropic

$0.002975

vs Gemini 3.8 Flash: ↑ 33.3%

vs DeepSeek V4 Flash: ↑ 94.8%

#11

Gemini 3.1 Flash
Google

$0.003225

vs Gemini 3.8 Flash: ↑ 44.5%

vs DeepSeek V4 Flash: ↑ 111.2%

#12

Mistral Large 4
Mistral AI

$0.003391

vs Gemini 3.8 Flash: ↑ 52%

vs DeepSeek V4 Flash: ↑ 122.1%

#13

Claude Sonnet 5.5
Anthropic

$0.005725 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 156.6%

vs DeepSeek V4 Flash: ↑ 274.9%

#14

Claude Sonnet 5
Anthropic

$0.005950 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 166.7%

vs DeepSeek V4 Flash: ↑ 289.7%

#15

Gemini 4 Argon
Google

$0.005950 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 166.7%

vs DeepSeek V4 Flash: ↑ 289.7%

#16

GPT-5.6 Terra
OpenAI

$0.006450 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 189.1%

vs DeepSeek V4 Flash: ↑ 322.4%

#17

GPT-5.3 Codex Spark
OpenAI

$0.006519 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 192.2%

vs DeepSeek V4 Flash: ↑ 326.9%

#18

GPT-5.3 Instant
OpenAI

$0.006519 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 192.2%

vs DeepSeek V4 Flash: ↑ 326.9%

#19

Grok 4.3
xAI

$0.008900 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 298.9%

vs DeepSeek V4 Flash: ↑ 482.8%

#20

Grok 4.20 Beta
xAI

$0.008900 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 298.9%

vs DeepSeek V4 Flash: ↑ 482.8%

#21

Claude Sonnet 4.6
Anthropic

$0.008925 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 300%

vs DeepSeek V4 Flash: ↑ 484.5%

#22

Gemini 2.5 Pro
Google

$0.009313

vs Gemini 3.8 Flash: ↑ 317.4%

vs DeepSeek V4 Flash: ↑ 509.9%

#23

Claude Opus 5.5
Anthropic

$0.011450 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 413.2%

vs DeepSeek V4 Flash: ↑ 649.8%

#24

GPT-6.1 Sol
OpenAI

$0.011900 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 433.3%

vs DeepSeek V4 Flash: ↑ 679.3%

#25

GPT-6 Sol
OpenAI

$0.011900 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 433.3%

vs DeepSeek V4 Flash: ↑ 679.3%

#26

GPT-5.6 Sol
OpenAI

$0.011900 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 433.3%

vs DeepSeek V4 Flash: ↑ 679.3%

#27

Gemini 3.1 Pro
Google

$0.012900 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 478.2%

vs DeepSeek V4 Flash: ↑ 744.8%

#28

Claude Opus 4.7
Anthropic

$0.014875 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 566.7%

vs DeepSeek V4 Flash: ↑ 874.1%

#29

Claude Opus 5
Anthropic

$0.014875 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 566.7%

vs DeepSeek V4 Flash: ↑ 874.1%

#30

Claude Opus 4.8
Anthropic

$0.014875 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 566.7%

vs DeepSeek V4 Flash: ↑ 874.1%

#31

Claude Opus 4.6
Anthropic

$0.014875 (rounded ~ $0.01)

vs Gemini 3.8 Flash: ↑ 566.7%

vs DeepSeek V4 Flash: ↑ 874.1%

#32

GPT-5.4
OpenAI

$0.016125 (rounded ~ $0.02)

vs Gemini 3.8 Flash: ↑ 622.7%

vs DeepSeek V4 Flash: ↑ 956%

#33

GPT-5.4 Thinking
OpenAI

$0.016125 (rounded ~ $0.02)

vs Gemini 3.8 Flash: ↑ 622.7%

vs DeepSeek V4 Flash: ↑ 956%

#34

GPT-5.5 Instant
OpenAI

$0.016125 (rounded ~ $0.02)

vs Gemini 3.8 Flash: ↑ 622.7%

vs DeepSeek V4 Flash: ↑ 956%

#35

Claude Fable 5.1
Anthropic

$0.028063 (rounded ~ $0.03)

vs Gemini 3.8 Flash: ↑ 1157.7%

vs DeepSeek V4 Flash: ↑ 1737.8%

#36

Claude Mythos 5.1
Anthropic

$0.028063 (rounded ~ $0.03)

vs Gemini 3.8 Flash: ↑ 1157.7%

vs DeepSeek V4 Flash: ↑ 1737.8%

#37

Claude Fable 5
Anthropic

$0.029750

vs Gemini 3.8 Flash: ↑ 1233.3%

vs DeepSeek V4 Flash: ↑ 1848.3%

#38

Claude Mythos 5
Anthropic

$0.029750

vs Gemini 3.8 Flash: ↑ 1233.3%

vs DeepSeek V4 Flash: ↑ 1848.3%

#39

GPT-5.5
OpenAI

$0.032250 (rounded ~ $0.03)

vs Gemini 3.8 Flash: ↑ 1345.4%

vs DeepSeek V4 Flash: ↑ 2012%

#40

GPT-6 Astra
OpenAI

$0.059500

vs Gemini 3.8 Flash: ↑ 2566.7%

vs DeepSeek V4 Flash: ↑ 3796.5%

#41

GPT-5.2 Pro
OpenAI

$0.078225 (rounded ~ $0.08)

vs Gemini 3.8 Flash: ↑ 3405.9%

vs DeepSeek V4 Flash: ↑ 5022.8%

#42

GPT-5.2 Pro
OpenAI

$0.078225 (rounded ~ $0.08)

vs Gemini 3.8 Flash: ↑ 3405.9%

vs DeepSeek V4 Flash: ↑ 5022.8%

✨ 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 designing a RAG pipeline for candidate screening, the choice between Gemini 3.8 Flash and DeepSeek V4 Flash often hinges on your team’s specific requirements regarding media handling and architectural efficiency. Gemini 3.8 Flash is highly effective for recruiting workflows that incorporate diverse asset types; if your screening process involves parsing image-based CVs, PDF scans, or analyzing audio from initial video interviews, its multi-modal capacity is a clear differentiator. It allows recruiters to build a centralized intelligence layer that understands both the text of a resume and the context of a candidate’s portfolio, all within a single processing flow.

Conversely, DeepSeek V4 Flash is engineered for high-throughput textual analysis. For engineering teams building proprietary screening engines, its advanced caching mechanisms offer a leaner, highly performant alternative for standard text-heavy candidate evaluations. It is particularly well-suited for repetitive RAG queries across large candidate databases where minimizing latency is the primary operational constraint. While Gemini provides broader versatility for companies that receive varied application formats, DeepSeek offers a specialized focus that can lead to significant efficiency gains in purely text-driven recruitment pipelines. Both models manage the 15,000-token threshold with stability, but the implementation strategy will differ based on whether you prioritize multi-modal flexibility or the raw, optimized speed of a dedicated reasoning engine for your text-based candidate datasets.

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.

Gemini 3.8 Flash vs DeepSeek V4 Flash for 15,000-Token CV Screening

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

Gemini 3.8 Flash

Calculate Token Costs

📊 Advanced Cost Breakdown

Processing Speed

Model Comparison

Model Information

🔄 Advanced Options

⚡ Optimization

🧠 Reasoning & Thinking

🔧 Special Modes

📚 Research & Citations

🎤 Realtime Audio & Video

Gemini 3.8 Flash Google 1048576

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

DeepSeek V4 Flash DeepSeek 1000000

💰 Total Cost Calculation (from Plugin)

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

✨ Market Recommendations AI Model Registry

Claude Haiku 5.5 Anthropic

GPT-6 Luna OpenAI

GPT-5.6 Luna OpenAI

Gemini 3.1 Flash Lite Google

Gemini 3.5 Flash-Lite Google

Gemini 2.5 Flash Google

Mistral Large 3 Mistral AI

Gemini 3.6 Flash Google

GPT-5.4 mini OpenAI

Claude Haiku 4.5 Anthropic

Gemini 3.1 Flash Google

Mistral Large 4 Mistral AI

Claude Sonnet 5.5 Anthropic

Claude Sonnet 5 Anthropic

Gemini 4 Argon Google

GPT-5.6 Terra OpenAI

GPT-5.3 Codex Spark OpenAI

GPT-5.3 Instant OpenAI

Grok 4.3 xAI

Grok 4.20 Beta xAI

Claude Sonnet 4.6 Anthropic

Gemini 2.5 Pro Google

Claude Opus 5.5 Anthropic

GPT-6.1 Sol OpenAI

GPT-6 Sol OpenAI

GPT-5.6 Sol OpenAI

Gemini 3.1 Pro Google

Claude Opus 4.7 Anthropic

Claude Opus 5 Anthropic

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

GPT-5.4 OpenAI

GPT-5.4 Thinking OpenAI

GPT-5.5 Instant OpenAI

Claude Fable 5.1 Anthropic

Claude Mythos 5.1 Anthropic

Claude Fable 5 Anthropic

Claude Mythos 5 Anthropic

GPT-5.5 OpenAI

GPT-6 Astra OpenAI

GPT-5.2 Pro OpenAI

GPT-5.2 Pro OpenAI

Frequently Asked Questions

Related model pricing

Compare across providers

Other models from the same provider

Claude Haiku 5.5
Anthropic

GPT-6 Luna
OpenAI

GPT-5.6 Luna
OpenAI

Gemini 3.1 Flash Lite
Google

Gemini 3.5 Flash-Lite
Google

Gemini 2.5 Flash
Google

Mistral Large 3
Mistral AI

Gemini 3.6 Flash
Google

GPT-5.4 mini
OpenAI

Claude Haiku 4.5
Anthropic

Gemini 3.1 Flash
Google

Mistral Large 4
Mistral AI

Claude Sonnet 5.5
Anthropic

Claude Sonnet 5
Anthropic

Gemini 4 Argon
Google

GPT-5.6 Terra
OpenAI

GPT-5.3 Codex Spark
OpenAI

GPT-5.3 Instant
OpenAI

Grok 4.3
xAI

Grok 4.20 Beta
xAI

Claude Sonnet 4.6
Anthropic

Gemini 2.5 Pro
Google

Claude Opus 5.5
Anthropic

GPT-6.1 Sol
OpenAI

GPT-6 Sol
OpenAI

GPT-5.6 Sol
OpenAI

Gemini 3.1 Pro
Google

Claude Opus 4.7
Anthropic

Claude Opus 5
Anthropic

Claude Opus 4.8
Anthropic

Claude Opus 4.6
Anthropic

GPT-5.4
OpenAI

GPT-5.4 Thinking
OpenAI

GPT-5.5 Instant
OpenAI

Claude Fable 5.1
Anthropic

Claude Mythos 5.1
Anthropic

Claude Fable 5
Anthropic

Claude Mythos 5
Anthropic

GPT-5.5
OpenAI

GPT-6 Astra
OpenAI

GPT-5.2 Pro
OpenAI

GPT-5.2 Pro
OpenAI