Cost per 1M Tokens: Gemini 3.1 Flash Lite for High-Volume Document OCR

Complete Analysis: 1,002,000 tokens for Gemini 3.1 Flash Lite

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

$0.253000 (rounded ~ $0.25) Total Cost
1,002,000 Total Tokens
17 minutes, 32.28 seconds Processing Time
952 Effective Tokens/Sec

Click Recalculate to update after making changes

ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

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.

Calculate Token Costs

$0.250000 Input Cost
$0.003000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,002,000Total Tokens
$0.000252Cost per 1K
3,960,474Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

17m 32s Processing Time
1,000 Tokens/Second
80ms Time to First Token
952 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

$0.253000 (rounded ~ $0.25)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
👁️
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) $0.253000 (rounded ~ $0.25) Input: $0.250000
Output: $0.003000
Optimized Cost $0.253000 (rounded ~ $0.25) Input: $0.250000
Output: $0.003000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.250000
  • Output Cost: $0.003000
  • Total Cost: $0.253000 (rounded ~ $0.25)
  • Cost per 1K tokens: $0.000252
  • Tokens per dollar: 3,960,474 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: 17 minutes, 32.28 seconds
  • Latency: 80 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 952 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for massive-scale document extraction and native OCR where cost-per-million tokens is the primary constraint.

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Flash Lite
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 2,000
Rank AI Model & Provider Total Cost vs Gemini 3.1 Flash Lite
🏆 Llama 4 Scout
Meta AI
$0.080600 Best Value ↓ 68.1% cheaper
🥈 Grok 4.1 Fast
xAI
$0.201000 (rounded ~ $0.20) ↓ 20.6% cheaper
🥉 Grok 4.20 Beta
xAI
$2.012000 (rounded ~ $2.01) ↑ 695.3% more
#4 Gemini 2.5 Pro
Google
$2.530000 ↑ 900% more
#5 Gemini 3.1 Pro
Google
$4.036000 (rounded ~ $4.04) ↑ 1495.3% more
#6 GPT-5.4
OpenAI
$5.045000 (rounded ~ $5.05) ↑ 1894.1% more
#7 GPT-5.4 Thinking
OpenAI
$5.045000 (rounded ~ $5.05) ↑ 1894.1% more
#8 GPT-5.4 Thinking
OpenAI
$5.045000 (rounded ~ $5.05) ↑ 1894.1% more
🏆

Llama 4 Scout
Meta AI

$0.080600
vs Gemini 3.1 Flash Lite: ↓ 68.1%
🥈

Grok 4.1 Fast
xAI

$0.201000 (rounded ~ $0.20)
vs Gemini 3.1 Flash Lite: ↓ 20.6%
🥉

Grok 4.20 Beta
xAI

$2.012000 (rounded ~ $2.01)
vs Gemini 3.1 Flash Lite: ↑ 695.3%
#4

Gemini 2.5 Pro
Google

$2.530000
vs Gemini 3.1 Flash Lite: ↑ 900%
#5

Gemini 3.1 Pro
Google

$4.036000 (rounded ~ $4.04)
vs Gemini 3.1 Flash Lite: ↑ 1495.3%
#6

GPT-5.4
OpenAI

$5.045000 (rounded ~ $5.05)
vs Gemini 3.1 Flash Lite: ↑ 1894.1%
#7

GPT-5.4 Thinking
OpenAI

$5.045000 (rounded ~ $5.05)
vs Gemini 3.1 Flash Lite: ↑ 1894.1%
#8

GPT-5.4 Thinking
OpenAI

$5.045000 (rounded ~ $5.05)
vs Gemini 3.1 Flash Lite: ↑ 1894.1%
✨ 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.

Streamlining Enterprise Document Pipelines

For customer support teams managing a high volume of incoming legal documents, the bottleneck is often the initial data ingestion and structural recognition. Traditional OCR workflows require a multi-stage process of conversion, text extraction, and then inference. Gemini 3.1 Flash Lite fundamentally changes this equation by offering native multimodal capabilities that allow for direct processing of document images and complex PDFs within a single call.

This model is specifically engineered for high-throughput scenarios where cost efficiency is as critical as accuracy. In the context of reviewing 50-page contracts, its ability to identify headers, footers, and table structures without losing the linguistic context of the surrounding clauses is a significant advantage. It is particularly effective for large-scale extraction tasks where the primary goal is to populate a database with key terms, dates, and parties from thousands of documents simultaneously.

While larger models might offer deeper philosophical reasoning, the speed and architectural optimization of this lite-tier model make it the practical choice for the heavy lifting phase of a legal review pipeline. It excels at maintaining accuracy across long context windows while providing the low-latency responses required for real-time support dashboards. For leads looking to scale their document processing without the overhead of massive infrastructure, this model represents a balance of high-volume utility and multimodal intelligence.

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 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.