Cheapest Model for 10,000 Image Captions: Gemini 2.5 Flash vs Llama 4 Maverick

Gemini 2.5 Flash vs Llama 4 Maverick (400B)
Complete Comparison: 1,000 input tokens × 500 output tokens
Comparison Mode
🖼️ 10000 Images ⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 10000 Images, 20% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 2.5 Flash
Google
Llama 4 Maverick (400B)
Meta AI
Calculation Results (Current Inputs) (10000 images, 20% cached)
Input Tokens 1,000 1,000
Output Tokens 500 500
Cost Breakdown
Input Cost $0.387075 (rounded ~ $0.39)Best $2.415150 (rounded ~ $2.42)Worst
Output Cost $0.000313Worst $0.000300Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.317714 (rounded ~ $0.32) Best Value $2.415450 (rounded ~ $2.42) Most Expensive
Processing Time 2 hours, 30 minutes, 32.81 seconds Fastest 11 hours, 44 minutes, 26.62 seconds Slowest
Tokens per Second 600Fastest 400Slowest
Time to First Token 120ms Best 150ms Worst
Cost per 1K tokens $0.000062Best $0.000150Worst
Tokens per Dollar 16,245,743Best Value 6,666,046Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.075000 (rounded ~ $0.08)Best $0.150000Worst
Output Cost / 1M (Base) $0.625000 (rounded ~ $0.63)Worst $0.600000Best
Input Cost / 1M (Optimized) $0.037500 (rounded ~ $0.04)Best
Optimizations: 50.0% batch
$0.150000Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $0.312500 (rounded ~ $0.31)Best
Optimizations: 50.0% batch
$0.600000Worst
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support
10000
✓ Supported ✓ Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support
20
✓ Supported ✗ Not Supported requested
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Gemini 2.5 Flash
GoogleMax Context: 1,000,000 tokens
$0.3 / $2.5 per 1M tokens
▼
▼
Use Batch API (50% discount)
20%
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.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$0.317714 Total Cost
$0.309660 Input Cost
$0.000313 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
5,161,500Total Tokens
$0.000062Cost per 1K
16,245,743Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

150m 32s Processing Time
600 Tokens/Second
120ms Time to First Token
571 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
Enable 6.0x Fast Mode multiplier
📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited
🎤 Realtime Audio & Video
Session length for billing
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Gemini 2.5 Flash Google 1000000

$0.317714 (rounded ~ $0.32)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 10000 Image (Medium) ⚡ 20% 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) $0.387388 (rounded ~ $0.39) Input: $0.387075 (rounded ~ $0.39)
Output: $0.000313
Optimized Cost $0.317714 (rounded ~ $0.32) Input: $0.387075 (rounded ~ $0.39)
Output: $0.000313
Unit: $0.000000
Fees: $0.000000
Total Savings $0.069673 18.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
5,160,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 10000
Resolution: Medium
Tokens: 5,160,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 1,000 input tokens and 500 output tokens:

  • Input Cost: $0.387075 (rounded ~ $0.39)
  • Output Cost: $0.000313
  • Total Cost: $0.317714 (rounded ~ $0.32)
  • Cost per 1K tokens: $0.000062
  • Tokens per dollar: 16,245,743 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 600 tokens per second and 120ms time to first token:

  • Processing Time: 2 hours, 30 minutes, 32.81 seconds
  • Latency: 120 milliseconds to first token
  • Base Throughput: 600 tokens/second
  • Effective Throughput: 571 tokens/second (temperature-adjusted)

Best Use Cases

Choose Gemini for complex charts and document-heavy images; choose Llama 4 Maverick for high-volume standard image tagging and privacy-conscious workflows.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 2.5 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 →

Llama 4 Maverick (400B) Meta AI 1000000

$2.415450 (rounded ~ $2.42)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 10000 Image (Medium) ⚡ 20% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $2.415450 (rounded ~ $2.42) Input: $2.415150 (rounded ~ $2.42)
Output: $0.000300
Optimized Cost $2.415450 (rounded ~ $2.42) Input: $2.415150 (rounded ~ $2.42)
Output: $0.000300
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
16,100,000 tokens

Multimodal Input Details

🖼️ Images
Count: 10000
Resolution: Medium
Tokens: 16,100,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 1,000 input tokens and 500 output tokens:

  • Input Cost: $2.415150 (rounded ~ $2.42)
  • Output Cost: $0.000300
  • Total Cost: $2.415450 (rounded ~ $2.42)
  • Cost per 1K tokens: $0.000150
  • Tokens per dollar: 6,666,046 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 150ms time to first token:

  • Processing Time: 11 hours, 44 minutes, 26.62 seconds
  • Latency: 150 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 381 tokens/second (temperature-adjusted)

Best Use Cases

Choose Gemini for complex charts and document-heavy images; choose Llama 4 Maverick for high-volume standard image tagging and privacy-conscious workflows.

Want this applied to YOUR actual stack?

This calculator shows the math for Llama 4 Maverick (400B). 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 2.5 Flash
📋 Active Input Parameters
Input Tokens: 1,000
Output Tokens: 500
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Images: 10000 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 2.5 Flash vs Llama 4 Maverick (400B)
🏆 Mistral Small 3
Mistral AI
 $0.105838 (rounded ~ $0.11) Best Value ↓ 66.7% cheaper ↓ 95.6% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.264689 (rounded ~ $0.26) ↓ 16.7% cheaper ↓ 89% cheaper
🥉 Mistral Large 3
Mistral AI
 $0.529440 ↑ 66.6% more ↓ 78.1% cheaper
#4 GPT-5.4 mini
OpenAI
 $0.794066 (rounded ~ $0.79) ↑ 149.9% more ↓ 67.1% cheaper
#5 o4-mini Deep Research
OpenAI
 $1.058505 (rounded ~ $1.06) ↑ 233.2% more ↓ 56.2% cheaper
#6 Claude Haiku 4.5
Anthropic
 $1.058630 (rounded ~ $1.06) ↑ 233.2% more ↓ 56.2% cheaper
#7 o4-mini
OpenAI
 $1.164356 (rounded ~ $1.16) ↑ 266.5% more ↓ 51.8% cheaper
#8 Grok 4.3
xAI
 $1.322819 (rounded ~ $1.32) ↑ 316.4% more ↓ 45.2% cheaper
#9 Gemini 3.5 Flash
Google
 $1.588133 (rounded ~ $1.59) ↑ 399.9% more ↓ 34.3% cheaper
#10 GPT-5.3 Codex Spark
OpenAI
 $1.853259 (rounded ~ $1.85) ↑ 483.3% more ↓ 23.3% cheaper
#11 GPT-5.3 Instant
OpenAI
 $1.853259 (rounded ~ $1.85) ↑ 483.3% more ↓ 23.3% cheaper
#12 Gemini 3.1 Flash
Google
 $2.117510 (rounded ~ $2.12) ↑ 566.5% more ↓ 12.3% cheaper
#13 Claude Sonnet 4.6
Anthropic
 $3.175890 (rounded ~ $3.18) ↑ 899.6% more ↑ 31.5% more
#14 Claude Opus 4.7
Anthropic
 $5.293150 (rounded ~ $5.29) ↑ 1566% more ↑ 119.1% more
#15 Claude Opus 4.8
Anthropic
 $5.293150 (rounded ~ $5.29) ↑ 1566% more ↑ 119.1% more
#16 Claude Opus 4.6
Anthropic
 $5.293150 (rounded ~ $5.29) ↑ 1566% more ↑ 119.1% more
#17 Gemini 2.5 Pro
Google
 $5.293775 (rounded ~ $5.29) ↑ 1566.2% more ↑ 119.2% more
#18 GPT-5.5 Instant
OpenAI
 $5.293775 (rounded ~ $5.29) ↑ 1566.2% more ↑ 119.2% more
#19 Gemini 3.1 Pro
Google
 $8.468540 (rounded ~ $8.47) ↑ 2565.5% more ↑ 250.6% more
#20 o3 Deep Research
OpenAI
 $10.585050 (rounded ~ $10.59) ↑ 3231.6% more ↑ 338.2% more
#21 GPT-5.4
OpenAI
 $10.585675 (rounded ~ $10.59) ↑ 3231.8% more ↑ 338.2% more
#22 GPT-5.4 Thinking
OpenAI
 $10.585675 (rounded ~ $10.59) ↑ 3231.8% more ↑ 338.2% more
#23 o3 Pro
OpenAI
 $21.170100 ↑ 6563.3% more ↑ 776.4% more
#24 GPT-5.5
OpenAI
 $21.171350 (rounded ~ $21.17) ↑ 6563.7% more ↑ 776.5% more
#25 GPT-5.2 Pro
OpenAI
 $22.239105 ↑ 6899.7% more ↑ 820.7% more
#26 GPT-5.2 Pro
OpenAI
 $22.239105 ↑ 6899.7% more ↑ 820.7% more
🏆

Mistral Small 3
Mistral AI

$0.105838 (rounded ~ $0.11)
vs Gemini 2.5 Flash: ↓ 66.7%
vs Llama 4 Maverick (400B): ↓ 95.6%
🥈

Gemini 3.1 Flash Lite
Google

$0.264689 (rounded ~ $0.26)
vs Gemini 2.5 Flash: ↓ 16.7%
vs Llama 4 Maverick (400B): ↓ 89%
🥉

Mistral Large 3
Mistral AI

$0.529440
vs Gemini 2.5 Flash: ↑ 66.6%
vs Llama 4 Maverick (400B): ↓ 78.1%
#4

GPT-5.4 mini
OpenAI

$0.794066 (rounded ~ $0.79)
vs Gemini 2.5 Flash: ↑ 149.9%
vs Llama 4 Maverick (400B): ↓ 67.1%
#5

o4-mini Deep Research
OpenAI

$1.058505 (rounded ~ $1.06)
vs Gemini 2.5 Flash: ↑ 233.2%
vs Llama 4 Maverick (400B): ↓ 56.2%
#6

Claude Haiku 4.5
Anthropic

$1.058630 (rounded ~ $1.06)
vs Gemini 2.5 Flash: ↑ 233.2%
vs Llama 4 Maverick (400B): ↓ 56.2%
#7

o4-mini
OpenAI

$1.164356 (rounded ~ $1.16)
vs Gemini 2.5 Flash: ↑ 266.5%
vs Llama 4 Maverick (400B): ↓ 51.8%
#8

Grok 4.3
xAI

$1.322819 (rounded ~ $1.32)
vs Gemini 2.5 Flash: ↑ 316.4%
vs Llama 4 Maverick (400B): ↓ 45.2%
#9

Gemini 3.5 Flash
Google

$1.588133 (rounded ~ $1.59)
vs Gemini 2.5 Flash: ↑ 399.9%
vs Llama 4 Maverick (400B): ↓ 34.3%
#10

GPT-5.3 Codex Spark
OpenAI

$1.853259 (rounded ~ $1.85)
vs Gemini 2.5 Flash: ↑ 483.3%
vs Llama 4 Maverick (400B): ↓ 23.3%
#11

GPT-5.3 Instant
OpenAI

$1.853259 (rounded ~ $1.85)
vs Gemini 2.5 Flash: ↑ 483.3%
vs Llama 4 Maverick (400B): ↓ 23.3%
#12

Gemini 3.1 Flash
Google

$2.117510 (rounded ~ $2.12)
vs Gemini 2.5 Flash: ↑ 566.5%
vs Llama 4 Maverick (400B): ↓ 12.3%
#13

Claude Sonnet 4.6
Anthropic

$3.175890 (rounded ~ $3.18)
vs Gemini 2.5 Flash: ↑ 899.6%
vs Llama 4 Maverick (400B): ↑ 31.5%
#14

Claude Opus 4.7
Anthropic

$5.293150 (rounded ~ $5.29)
vs Gemini 2.5 Flash: ↑ 1566%
vs Llama 4 Maverick (400B): ↑ 119.1%
#15

Claude Opus 4.8
Anthropic

$5.293150 (rounded ~ $5.29)
vs Gemini 2.5 Flash: ↑ 1566%
vs Llama 4 Maverick (400B): ↑ 119.1%
#16

Claude Opus 4.6
Anthropic

$5.293150 (rounded ~ $5.29)
vs Gemini 2.5 Flash: ↑ 1566%
vs Llama 4 Maverick (400B): ↑ 119.1%
#17

Gemini 2.5 Pro
Google

$5.293775 (rounded ~ $5.29)
vs Gemini 2.5 Flash: ↑ 1566.2%
vs Llama 4 Maverick (400B): ↑ 119.2%
#18

GPT-5.5 Instant
OpenAI

$5.293775 (rounded ~ $5.29)
vs Gemini 2.5 Flash: ↑ 1566.2%
vs Llama 4 Maverick (400B): ↑ 119.2%
#19

Gemini 3.1 Pro
Google

$8.468540 (rounded ~ $8.47)
vs Gemini 2.5 Flash: ↑ 2565.5%
vs Llama 4 Maverick (400B): ↑ 250.6%
#20

o3 Deep Research
OpenAI

$10.585050 (rounded ~ $10.59)
vs Gemini 2.5 Flash: ↑ 3231.6%
vs Llama 4 Maverick (400B): ↑ 338.2%
#21

GPT-5.4
OpenAI

$10.585675 (rounded ~ $10.59)
vs Gemini 2.5 Flash: ↑ 3231.8%
vs Llama 4 Maverick (400B): ↑ 338.2%
#22

GPT-5.4 Thinking
OpenAI

$10.585675 (rounded ~ $10.59)
vs Gemini 2.5 Flash: ↑ 3231.8%
vs Llama 4 Maverick (400B): ↑ 338.2%
#23

o3 Pro
OpenAI

$21.170100
vs Gemini 2.5 Flash: ↑ 6563.3%
vs Llama 4 Maverick (400B): ↑ 776.4%
#24

GPT-5.5
OpenAI

$21.171350 (rounded ~ $21.17)
vs Gemini 2.5 Flash: ↑ 6563.7%
vs Llama 4 Maverick (400B): ↑ 776.5%
#25

GPT-5.2 Pro
OpenAI

$22.239105
vs Gemini 2.5 Flash: ↑ 6899.7%
vs Llama 4 Maverick (400B): ↑ 820.7%
#26

GPT-5.2 Pro
OpenAI

$22.239105
vs Gemini 2.5 Flash: ↑ 6899.7%
vs Llama 4 Maverick (400B): ↑ 820.7%
✨ 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.

Vision-Based Automation: Capturing Visual Context at Scale

Modern newsletters are increasingly visual, requiring thousands of images to be captioned, tagged, and optimized for accessibility and SEO. Comparing Gemini 2.5 Flash and Llama 4 Maverick (400B) reveals two distinct philosophies for handling high-volume vision workloads.

  • Gemini 2.5 Flash: As a multimodal-native model, Gemini excels at temporal consistency and recognizing fine details within marketing graphics, such as small typography or brand logos. Its integration with search capabilities makes it a strong candidate for verifying facts within an image.
  • Llama 4 Maverick: As a high-performance open-weights model, Maverick provides a compelling alternative for publishers who prioritize data privacy or want to avoid vendor lock-in. Its vision capabilities are robust enough for standard product descriptions and alt-text generation.

For a publisher managing a 50K-subscriber community, the choice hinges on the complexity of the visual assets. If your newsletter relies on dense data visualizations and charts, Gemini’s historical strength in document understanding provides an edge. For standard lifestyle photography or stock image tagging, the versatility of Maverick offers excellent operational flexibility.

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 are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
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.