Cheapest Model for 1,000 Academic Image Captions: Gemini 3.1 Flash Lite

Complete Analysis: 618,000 tokens for Gemini 3.1 Flash Lite
🖼️ 1000 Images

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.1 Flash Lite model with 1000 Images.

🖼️ Multimodal Input 📊 Batch API
$0.039250 Total Cost
618,000 Total Tokens
10 minutes, 42.90 seconds Processing Time
962 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Gemini 3.1 Flash Lite
GoogleMax Context: 1,000,000 tokens
$0.25 / $1.5 per 1M tokens
▼
▼
Use Batch API (50% discount)
0%
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

$0.039250 Total Cost
$0.038500 Input Cost
$0.000750 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
618,000Total Tokens
$0.000064Cost per 1K
15,745,223Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

10m 42s Processing Time
1,000 Tokens/Second
80ms Time to First Token
962 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

Gemini 3.1 Flash Lite Google 1000000

$0.039250
Total Cost
🖼️ 1000 Image (Medium) 📊 Batch API
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✓ Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.039250 Input: $0.038500 (rounded ~ $0.04)
Output: $0.000750
Optimized Cost $0.039250 Input: $0.038500 (rounded ~ $0.04)
Output: $0.000750
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
516,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 1000
Resolution: Medium
Tokens: 516,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.038500 (rounded ~ $0.04)
  • Output Cost: $0.000750
  • Total Cost: $0.039250
  • Cost per 1K tokens: $0.000064
  • Tokens per dollar: 15,745,223 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 1,000 tokens per second and 80ms time to first token:

  • Processing Time: 10 minutes, 42.90 seconds
  • Latency: 80 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 962 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-volume indexing of research figureschartsand diagrams where cost-efficiency and processing speed are prioritized over deep reasoning.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Flash Lite
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Images: 1000 (Medium Resolution)
Rank AI Model & Provider Total Cost vs Gemini 3.1 Flash Lite
🏆 Mistral Small 3
Mistral AI
 $0.015550 (rounded ~ $0.02) Best Value ↓ 60.4% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.047450 (rounded ~ $0.05) ↑ 20.9% more
🥉 Mistral Large 3
Mistral AI
 $0.078000 (rounded ~ $0.08) ↑ 98.7% more
#4 GPT-5.4 mini
OpenAI
 $0.117750 (rounded ~ $0.12) ↑ 200% more
#5 o4-mini Deep Research
OpenAI
 $0.156000 (rounded ~ $0.16) ↑ 297.5% more
#6 Claude Haiku 4.5
Anthropic
 $0.156500 (rounded ~ $0.16) ↑ 298.7% more
#7 o4-mini
OpenAI
 $0.171600 (rounded ~ $0.17) ↑ 337.2% more
#8 Grok 4.3
xAI
 $0.193750 (rounded ~ $0.19) ↑ 393.6% more
#9 Gemini 3.5 Flash
Google
 $0.235500 (rounded ~ $0.24) ↑ 500% more
#10 Llama 4 Maverick (400B)
Meta AI
 $0.257700 (rounded ~ $0.26) ↑ 556.6% more
#11 GPT-5.3 Codex Spark
OpenAI
 $0.276500 (rounded ~ $0.28) ↑ 604.5% more
#12 GPT-5.3 Instant
OpenAI
 $0.276500 (rounded ~ $0.28) ↑ 604.5% more
#13 Gemini 3.1 Flash
Google
 $0.314000 (rounded ~ $0.31) ↑ 700% more
#14 Claude Sonnet 4.6
Anthropic
 $0.469500 ↑ 1096.2% more
#15 Claude Opus 4.7
Anthropic
 $0.782500 (rounded ~ $0.78) ↑ 1893.6% more
#16 Claude Opus 4.8
Anthropic
 $0.782500 (rounded ~ $0.78) ↑ 1893.6% more
#17 Claude Opus 4.6
Anthropic
 $0.782500 (rounded ~ $0.78) ↑ 1893.6% more
#18 Gemini 2.5 Pro
Google
 $0.785000 (rounded ~ $0.79) ↑ 1900% more
#19 GPT-5.5 Instant
OpenAI
 $0.785000 (rounded ~ $0.79) ↑ 1900% more
#20 Gemini 3.1 Pro
Google
 $1.250000 ↑ 3084.7% more
#21 o3 Deep Research
OpenAI
 $1.560000 ↑ 3874.5% more
#22 GPT-5.4
OpenAI
 $1.562500 (rounded ~ $1.56) ↑ 3880.9% more
#23 GPT-5.4 Thinking
OpenAI
 $1.562500 (rounded ~ $1.56) ↑ 3880.9% more
#24 o3 Pro
OpenAI
 $3.120000 ↑ 7849% more
#25 GPT-5.5
OpenAI
 $3.125000 (rounded ~ $3.13) ↑ 7861.8% more
#26 GPT-5.2 Pro
OpenAI
 $3.318000 (rounded ~ $3.32) ↑ 8353.5% more
#27 GPT-5.5 Pro
OpenAI
 $4.710000 ↑ 11900% more
#28 GPT-5.5 Pro
OpenAI
 $4.710000 ↑ 11900% more
🏆

Mistral Small 3
Mistral AI

$0.015550 (rounded ~ $0.02)
vs Gemini 3.1 Flash Lite: ↓ 60.4%
🥈

Gemini 2.5 Flash
Google

$0.047450 (rounded ~ $0.05)
vs Gemini 3.1 Flash Lite: ↑ 20.9%
🥉

Mistral Large 3
Mistral AI

$0.078000 (rounded ~ $0.08)
vs Gemini 3.1 Flash Lite: ↑ 98.7%
#4

GPT-5.4 mini
OpenAI

$0.117750 (rounded ~ $0.12)
vs Gemini 3.1 Flash Lite: ↑ 200%
#5

o4-mini Deep Research
OpenAI

$0.156000 (rounded ~ $0.16)
vs Gemini 3.1 Flash Lite: ↑ 297.5%
#6

Claude Haiku 4.5
Anthropic

$0.156500 (rounded ~ $0.16)
vs Gemini 3.1 Flash Lite: ↑ 298.7%
#7

o4-mini
OpenAI

$0.171600 (rounded ~ $0.17)
vs Gemini 3.1 Flash Lite: ↑ 337.2%
#8

Grok 4.3
xAI

$0.193750 (rounded ~ $0.19)
vs Gemini 3.1 Flash Lite: ↑ 393.6%
#9

Gemini 3.5 Flash
Google

$0.235500 (rounded ~ $0.24)
vs Gemini 3.1 Flash Lite: ↑ 500%
#10

Llama 4 Maverick (400B)
Meta AI

$0.257700 (rounded ~ $0.26)
vs Gemini 3.1 Flash Lite: ↑ 556.6%
#11

GPT-5.3 Codex Spark
OpenAI

$0.276500 (rounded ~ $0.28)
vs Gemini 3.1 Flash Lite: ↑ 604.5%
#12

GPT-5.3 Instant
OpenAI

$0.276500 (rounded ~ $0.28)
vs Gemini 3.1 Flash Lite: ↑ 604.5%
#13

Gemini 3.1 Flash
Google

$0.314000 (rounded ~ $0.31)
vs Gemini 3.1 Flash Lite: ↑ 700%
#14

Claude Sonnet 4.6
Anthropic

$0.469500
vs Gemini 3.1 Flash Lite: ↑ 1096.2%
#15

Claude Opus 4.7
Anthropic

$0.782500 (rounded ~ $0.78)
vs Gemini 3.1 Flash Lite: ↑ 1893.6%
#16

Claude Opus 4.8
Anthropic

$0.782500 (rounded ~ $0.78)
vs Gemini 3.1 Flash Lite: ↑ 1893.6%
#17

Claude Opus 4.6
Anthropic

$0.782500 (rounded ~ $0.78)
vs Gemini 3.1 Flash Lite: ↑ 1893.6%
#18

Gemini 2.5 Pro
Google

$0.785000 (rounded ~ $0.79)
vs Gemini 3.1 Flash Lite: ↑ 1900%
#19

GPT-5.5 Instant
OpenAI

$0.785000 (rounded ~ $0.79)
vs Gemini 3.1 Flash Lite: ↑ 1900%
#20

Gemini 3.1 Pro
Google

$1.250000
vs Gemini 3.1 Flash Lite: ↑ 3084.7%
#21

o3 Deep Research
OpenAI

$1.560000
vs Gemini 3.1 Flash Lite: ↑ 3874.5%
#22

GPT-5.4
OpenAI

$1.562500 (rounded ~ $1.56)
vs Gemini 3.1 Flash Lite: ↑ 3880.9%
#23

GPT-5.4 Thinking
OpenAI

$1.562500 (rounded ~ $1.56)
vs Gemini 3.1 Flash Lite: ↑ 3880.9%
#24

o3 Pro
OpenAI

$3.120000
vs Gemini 3.1 Flash Lite: ↑ 7849%
#25

GPT-5.5
OpenAI

$3.125000 (rounded ~ $3.13)
vs Gemini 3.1 Flash Lite: ↑ 7861.8%
#26

GPT-5.2 Pro
OpenAI

$3.318000 (rounded ~ $3.32)
vs Gemini 3.1 Flash Lite: ↑ 8353.5%
#27

GPT-5.5 Pro
OpenAI

$4.710000
vs Gemini 3.1 Flash Lite: ↑ 11900%
#28

GPT-5.5 Pro
OpenAI

$4.710000
vs Gemini 3.1 Flash Lite: ↑ 11900%
✨ 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.

Scaling Visual Data Extraction in Research

Academic researchers often face a significant bottleneck when attempting to catalog and describe thousands of charts, graphs, and figures across a vast corpus of literature. Utilizing Gemini 3.1 Flash Lite for processing 1,000 images offers a specialized solution for high-volume extraction where speed and resource efficiency are the primary drivers. This model is specifically engineered for rapid-fire vision tasks, making it highly effective for generating descriptive captions and structured metadata from standardized research graphics. Its primary strength lies in its ability to handle massive batches of visual input without the computational overhead associated with frontier-class reasoning models.

While Gemini 3.1 Flash Lite is optimized for maximum throughput, researchers should note that it prioritizes broad recognition and classification over the deep, iterative reasoning found in ‘Pro’ tier models. For 1,000-image batches, it provides a reliable baseline for indexing and creating searchable databases of visual evidence. This makes it an ideal choice for building comprehensive visual repositories or preparing extensive supplementary materials for systematic literature reviews. Researchers looking to optimize their budget should leverage this model for initial categorization and descriptive passes, reserving more intensive models only for the most complex, dense figures that require multi-step logical inference. The integration within the broader ecosystem allows for seamless data flow into downstream narration or summarization pipelines.

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 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.