Gemini 3.1 Pro vs Grok 4: Audio Transcription Accuracy for 60-Minute Podcasts

Gemini 3.1 Pro vs Grok 4
Complete Comparison: 15,000 input tokens × 15,000 output tokens
Comparison Mode
🎧 60min Audio ⚡ 30% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 60min Audio, 30% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria Gemini 3.1 Pro
Google
Grok 4
xAI
Calculation Results (Current Inputs) (60min audio, 30% cached)
Input Tokens 15,000 15,000
Output Tokens 15,000 15,000
Cost Breakdown
Input Cost $0.260400Worst $0.162750 (rounded ~ $0.16)Best
Output Cost $0.180000Worst $0.037500 (rounded ~ $0.04)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.370092 Most Expensive $0.156308 (rounded ~ $0.16) Best Value
Processing Time 6 minutes, 10.44 seconds Slowest 4 minutes, 56.39 seconds Fastest
Tokens per Second 400Slowest 500Fastest
Time to First Token 220ms Worst 200ms Best
Cost per 1K tokens $0.002549Worst $0.001076Best
Tokens per Dollar 392,335Worst Value 928,938Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $2.000000Worst $1.250000Best
Output Cost / 1M (Base) $12.000000Worst $2.500000Best
Input Cost / 1M (Optimized) $2.000000Worst
Optimizations: No optimizations applied
$1.250000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $12.000000Worst
Optimizations: No optimizations applied
$2.500000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✓ Supported
Audio Support
60
✓ Supported ✓ Supported
Caching Support
30
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Second Model

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All other parameters will be preserved from the current comparison.

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Select AI Model

Gemini 3.1 Pro
GoogleMax Context: 2,000,000 tokens
$2 / $12 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

$0.370092 Total Cost
$0.182280 Input Cost
$0.180000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
145,200Total Tokens
$0.002549Cost per 1K
392,335Tokens per $
🔄 Dynamic Tier Pricing Active: Using Standard pricing (tier1) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

6m 10s Processing Time
400 Tokens/Second
220ms Time to First Token
392 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 Pro Google 2000000

$0.370092
Total Cost
🎧 60min Audio ⚡ 30% Cached 🔧 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) $0.440400 Input: $0.260400
Output: $0.180000
Optimized Cost $0.370092 Input: $0.260400
Output: $0.180000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.070308 16.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
115,200 tokens
📊 Dynamic Tier
Standard
tier1 pricing based on 0 tokens

Multimodal Input Details

🎧 Audio
Duration: 60 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $0.260400
  • Output Cost: $0.180000
  • Total Cost: $0.370092
  • Cost per 1K tokens: $0.002549
  • Tokens per dollar: 392,335 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 220ms time to first token:

  • Processing Time: 6 minutes, 10.44 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 392 tokens/second (temperature-adjusted)

Best Use Cases

Complexmulti-speaker interviews requiring either deep summarization (Gemini) or superior verbatim accuracy (Grok).

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Pro. 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 xAI

$0.156308 (rounded ~ $0.16)
Total Cost
🎧 60min Audio ⚡ 30% Cached 🔧 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) $0.200250 Input: $0.162750 (rounded ~ $0.16)
Output: $0.037500 (rounded ~ $0.04)
Optimized Cost $0.156308 (rounded ~ $0.16) Input: $0.162750 (rounded ~ $0.16)
Output: $0.037500 (rounded ~ $0.04)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.043943 (rounded ~ $0.04) 21.9% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
115,200 tokens

Multimodal Input Details

🎧 Audio
Duration: 60 minutes
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $0.162750 (rounded ~ $0.16)
  • Output Cost: $0.037500 (rounded ~ $0.04)
  • Total Cost: $0.156308 (rounded ~ $0.16)
  • Cost per 1K tokens: $0.001076
  • Tokens per dollar: 928,938 tokens
  • Context Window: 256000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 200ms time to first token:

  • Processing Time: 4 minutes, 56.39 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 490 tokens/second (temperature-adjusted)

Best Use Cases

Complexmulti-speaker interviews requiring either deep summarization (Gemini) or superior verbatim accuracy (Grok).

Want this applied to YOUR actual stack?

This calculator shows the math for Grok 4. 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 Pro
📋 Active Input Parameters
Input Tokens: 15,000
Output Tokens: 15,000
Cached Tokens: 30%
Audio: 60 minutes
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Pro vs Grok 4
🏆 Gemini 3.1 Flash Lite
Google
 $0.046262 (rounded ~ $0.05) Best Value ↓ 87.5% cheaper ↓ 70.4% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.066014 (rounded ~ $0.07) ↓ 82.2% cheaper ↓ 57.8% cheaper
🥉 Gemini 3.1 Flash
Google
 $0.092523 (rounded ~ $0.09) ↓ 75% cheaper ↓ 40.8% cheaper
#4 Grok 4.3
xAI
 $0.156308 (rounded ~ $0.16) ↓ 57.8% cheaper Same price
#5 Gemini 2.5 Pro
Google
 $0.268808 (rounded ~ $0.27) ↓ 27.4% cheaper ↑ 72% more
#6 Gemini 2.5 Pro
Google
 $0.268808 (rounded ~ $0.27) ↓ 27.4% cheaper ↑ 72% more
🏆

Gemini 3.1 Flash Lite
Google

$0.046262 (rounded ~ $0.05)
vs Gemini 3.1 Pro: ↓ 87.5%
vs Grok 4: ↓ 70.4%
🥈

Gemini 2.5 Flash
Google

$0.066014 (rounded ~ $0.07)
vs Gemini 3.1 Pro: ↓ 82.2%
vs Grok 4: ↓ 57.8%
🥉

Gemini 3.1 Flash
Google

$0.092523 (rounded ~ $0.09)
vs Gemini 3.1 Pro: ↓ 75%
vs Grok 4: ↓ 40.8%
#4

Grok 4.3
xAI

$0.156308 (rounded ~ $0.16)
vs Gemini 3.1 Pro: ↓ 57.8%
vs Grok 4: Same
#5

Gemini 2.5 Pro
Google

$0.268808 (rounded ~ $0.27)
vs Gemini 3.1 Pro: ↓ 27.4%
vs Grok 4: ↑ 72%
#6

Gemini 2.5 Pro
Google

$0.268808 (rounded ~ $0.27)
vs Gemini 3.1 Pro: ↓ 27.4%
vs Grok 4: ↑ 72%
✨ 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 model for audio transcription often comes down to the trade-off between sophisticated reasoning capabilities and raw transcription precision. When comparing Gemini 3.1 Pro and Grok 4 for 60-minute podcast episodes, you are looking at two distinct approaches to audio understanding.

Gemini 3.1 Pro excels in tasks where the transcription is only the first step. Because it is a multimodal powerhouse, it integrates seamlessly into workflows where you need to analyze the transcript for sentiment, summarize key themes, or generate social media content immediately after transcription. Its ability to maintain complex context over long audio files makes it ideal for deep-dive interviews where speaker identification and continuity are paramount.

Conversely, Grok 4 has gained a strong reputation for its specialized transcription and speaker diarization performance. It is particularly adept at handling challenging audio conditions, such as background noise, overlapping speakers, or specialized technical jargon that might trip up more generalist models. If your primary requirement is ‘get the text right the first time’ for a clean, archival-ready transcript, Grok 4 often provides superior reliability on difficult recordings.

For a social media manager, the decision hinges on your workflow. If your process involves immediate summarization and content generation, Gemini 3.1 Pro provides a more cohesive, all-in-one pipeline. If your workflow relies heavily on highly accurate, verbatim transcripts that you manually review later, Grok 4’s specialized focus on speech-to-text accuracy offers a significant advantage.

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.