Gemini 3.1 Flash vs Grok 4.1 Fast: Audio Transcription Cost for 100-Minute Meeting Batches

Gemini 3.1 Flash vs Grok 4.1 Fast
Complete Comparison: 50,000 input tokens × 2,000 output tokens
Comparison Mode
🎧 100min Audio ⚡ 30% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 100min Audio, 30% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.1 Flash
Google
Grok 4.1 Fast
xAI
Calculation Results (Current Inputs) (100min audio, 30% cached)
Input Tokens 50,000 50,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.121000 (rounded ~ $0.12)Worst $0.048400 (rounded ~ $0.05)Best
Output Cost $0.006000 (rounded ~ $0.01)Worst $0.001000Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.094330 (rounded ~ $0.09) Most Expensive $0.036332 (rounded ~ $0.04) Best Value
Processing Time 5 minutes, 14.33 seconds 5 minutes, 14.33 seconds
Tokens per Second 800 800
Time to First Token 100ms 100ms
Cost per 1K tokens $0.000387Worst $0.000149Best
Tokens per Dollar 2,586,664Worst Value 6,715,843Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.500000Worst $0.200000Best
Output Cost / 1M (Base) $3.000000Worst $0.500000Best
Input Cost / 1M (Optimized) $0.250000Worst
Optimizations: 50.0% batch
$0.200000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $1.500000Worst
Optimizations: 50.0% batch
$0.500000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✓ Supported
Audio Support
100
✓ Supported ✓ Supported
OCR Support ✗ Not Supported ✓ Supported
Caching Support
30
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✗ Not Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Gemini 3.1 Flash
GoogleMax Context: 1,000,000 tokens
$0.5 / $3 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
Use Batch API (50% discount)
30%
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

$0.084700 Input Cost
$0.006000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
244,000Total Tokens
$0.000387Cost per 1K
2,586,664Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

5m 14s Processing Time
800 Tokens/Second
100ms Time to First Token
777 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 3.1 Flash Google 1000000

$0.094330 (rounded ~ $0.09)
Total Cost
🎧 100min Audio ⚡ 30% 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) $0.127000 (rounded ~ $0.13) Input: $0.121000 (rounded ~ $0.12)
Output: $0.006000 (rounded ~ $0.01)
Optimized Cost $0.094330 (rounded ~ $0.09) Input: $0.121000 (rounded ~ $0.12)
Output: $0.006000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.032670 (rounded ~ $0.03) 25.7% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
192,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Multimodal Input Details

🎧 Audio
Duration: 100 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.121000 (rounded ~ $0.12)
  • Output Cost: $0.006000 (rounded ~ $0.01)
  • Total Cost: $0.094330 (rounded ~ $0.09)
  • Cost per 1K tokens: $0.000387
  • Tokens per dollar: 2,586,664 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 800 tokens per second and 100ms time to first token:

  • Processing Time: 5 minutes, 14.33 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 777 tokens/second (temperature-adjusted)

Best Use Cases

Large-scale batch processing of meeting recordings and automated action-item extraction.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 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 →

Grok 4.1 Fast xAI 2000000

$0.036332 (rounded ~ $0.04)
Total Cost
🎧 100min Audio ⚡ 30% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✓ Available
📊
Batch API
✗ Not Available
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.049400 Input: $0.048400 (rounded ~ $0.05)
Output: $0.001000
Optimized Cost $0.036332 (rounded ~ $0.04) Input: $0.048400 (rounded ~ $0.05)
Output: $0.001000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.013068 (rounded ~ $0.01) 26.5% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
192,000 tokens

Multimodal Input Details

🎧 Audio
Duration: 100 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.048400 (rounded ~ $0.05)
  • Output Cost: $0.001000
  • Total Cost: $0.036332 (rounded ~ $0.04)
  • Cost per 1K tokens: $0.000149
  • Tokens per dollar: 6,715,843 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 800 tokens per second and 100ms time to first token:

  • Processing Time: 5 minutes, 14.33 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 777 tokens/second (temperature-adjusted)

Best Use Cases

Large-scale batch processing of meeting recordings and automated action-item extraction.

Want this applied to YOUR actual stack?

This calculator shows the math for Grok 4.1 Fast. 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 3.1 Flash
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Audio: 100 minutes
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Flash vs Grok 4.1 Fast
🏆 Gemini 3.1 Flash Lite
Google
$0.011791 (rounded ~ $0.01) Best Value ↓ 87.5% cheaper ↓ 67.5% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
$0.014500 (rounded ~ $0.01) ↓ 84.6% cheaper ↓ 60.1% cheaper
🥉 Gemini 2.5 Flash
Google
$0.014500 (rounded ~ $0.01) ↓ 84.6% cheaper ↓ 60.1% cheaper
#4 Gemini 3.8 Flash
Google
$0.034999 (rounded ~ $0.03) ↓ 62.9% cheaper ↓ 3.7% cheaper
#5 Gemini 3.6 Flash
Google
$0.069998 ↓ 25.8% cheaper ↑ 92.7% more
#6 Gemini 3.5 Flash
Google
$0.070748 ↓ 25% cheaper ↑ 94.7% more
#7 Gemini 2.5 Pro
Google
$0.235825 (rounded ~ $0.24) ↑ 150% more ↑ 549.1% more
#8 Grok 4.3
xAI
$0.361320 (rounded ~ $0.36) ↑ 283% more ↑ 894.5% more
#9 Grok 4.3
xAI
$0.361320 (rounded ~ $0.36) ↑ 283% more ↑ 894.5% more
🏆

Gemini 3.1 Flash Lite
Google

$0.011791 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↓ 87.5%
vs Grok 4.1 Fast: ↓ 67.5%
🥈

Gemini 3.5 Flash-Lite
Google

$0.014500 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↓ 84.6%
vs Grok 4.1 Fast: ↓ 60.1%
🥉

Gemini 2.5 Flash
Google

$0.014500 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↓ 84.6%
vs Grok 4.1 Fast: ↓ 60.1%
#4

Gemini 3.8 Flash
Google

$0.034999 (rounded ~ $0.03)
vs Gemini 3.1 Flash: ↓ 62.9%
vs Grok 4.1 Fast: ↓ 3.7%
#5

Gemini 3.6 Flash
Google

$0.069998
vs Gemini 3.1 Flash: ↓ 25.8%
vs Grok 4.1 Fast: ↑ 92.7%
#6

Gemini 3.5 Flash
Google

$0.070748
vs Gemini 3.1 Flash: ↓ 25%
vs Grok 4.1 Fast: ↑ 94.7%
#7

Gemini 2.5 Pro
Google

$0.235825 (rounded ~ $0.24)
vs Gemini 3.1 Flash: ↑ 150%
vs Grok 4.1 Fast: ↑ 549.1%
#8

Grok 4.3
xAI

$0.361320 (rounded ~ $0.36)
vs Gemini 3.1 Flash: ↑ 283%
vs Grok 4.1 Fast: ↑ 894.5%
#9

Grok 4.3
xAI

$0.361320 (rounded ~ $0.36)
vs Gemini 3.1 Flash: ↑ 283%
vs Grok 4.1 Fast: ↑ 894.5%
✨ 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.

Choosing the Right Engine for High-Volume Audio Processing

When your workload expands to processing 100-minute meeting batches—perhaps for deep-dive analysis of long-form strategy sessions or multi-day workshop transcripts—choosing the right model becomes a strategic decision. Both Gemini 3.1 Flash and Grok 4.1 Fast offer powerful, speed-optimized performance, but they serve different architectural needs for developers and product designers.

Comparing Architectural Strengths

  • Gemini 3.1 Flash: Excels in scenarios where multimodal ingestion is paramount. Its ability to process raw audio directly as part of a single request makes it a streamlined choice for teams looking to minimize the number of API calls in their stack.
  • Grok 4.1 Fast: Offers exceptional speed for agentic workflows. If your meeting synthesis pipeline requires heavy tool-calling—such as automatically creating Jira tickets, updating Notion pages, or querying internal documentation during the summarization process—this model’s fast, pattern-matched response times provide a highly responsive experience.

The decision often comes down to your integration strategy. If your primary goal is high-fidelity transcription and summarization with minimal pipeline friction, Gemini’s native capabilities are hard to beat. Conversely, if you are building an autonomous agent that needs to “act” on the meeting content in real-time, Grok 4.1 Fast provides the agility needed for complex, multi-step tool execution. Evaluating your specific needs—whether it is raw analysis or proactive task automation—will guide you toward the most efficient infrastructure for your team’s research tools.

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 audio billing work?
Audio models are billed by token, not by minute. Voxtral Small 24B costs $0.10 per 1M input tokens and $0.30 per 1M output tokens, matching Mistral Small 3. GPT Realtime Mini uses standard token billing. There are no silence keep-alive surcharges or per-minute duration fees on either provider.
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.