Gemini 3.1 Flash Google 1000000
$0.094330 (rounded ~ $0.09)
Total Cost
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)
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.