Gemini 3.1 Flash Google 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.045000 (rounded ~ $0.05)
Output: $0.045000 (rounded ~ $0.05)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Multimodal Input Details
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 20,000 input tokens and 15,000 output tokens:
- Input Cost: $0.067600 (rounded ~ $0.07)
- Output Cost: $0.045000 (rounded ~ $0.05)
- Total Cost: $0.100432
- Cost per 1K tokens: $0.000669
- Tokens per dollar: 1,495,539 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: 3 minutes, 21.07 seconds
- Latency: 100 milliseconds to first token
- Base Throughput: 800 tokens/second
- Effective Throughput: 748 tokens/second (temperature-adjusted)
Best Use Cases
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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.
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💰 Total Cost Calculation (from Plugin)
Output: $0.037500 (rounded ~ $0.04)
Output: $0.037500 (rounded ~ $0.04)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Multimodal Input Details
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 20,000 input tokens and 15,000 output tokens:
- Input Cost: $0.169000 (rounded ~ $0.17)
- Output Cost: $0.037500 (rounded ~ $0.04)
- Total Cost: $0.176080 (rounded ~ $0.18)
- Cost per 1K tokens: $0.001172
- Tokens per dollar: 853,021 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 550 tokens per second and 200ms time to first token:
- Processing Time: 4 minutes, 52.39 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 550 tokens/second
- Effective Throughput: 514 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Grok 4.1. 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| Rank | AI Model & Provider | Total Cost | vs Gemini 3.1 Flash | vs Grok 4.1 |
|---|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.050216 Best Value | ↓ 50% cheaper | ↓ 71.5% cheaper |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.070759 | ↓ 29.5% cheaper | ↓ 59.8% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.070759 | ↓ 29.5% cheaper | ↓ 59.8% cheaper |
| #4 |
Gemini 3.8 Flash
Google
|
$0.139398 | ↑ 38.8% more | ↓ 20.8% cheaper |
| #5 |
Grok 4.3
xAI
|
$0.176080 (rounded ~ $0.18) | ↑ 75.3% more | Same price |
| #6 |
Gemini 3.6 Flash
Google
|
$0.278796 (rounded ~ $0.28) | ↑ 177.6% more | ↑ 58.3% more |
| #7 |
Gemini 2.5 Pro
Google
|
$0.288580 (rounded ~ $0.29) | ↑ 187.3% more | ↑ 63.9% more |
| #8 |
Gemini 3.5 Flash
Google
|
$0.301296 (rounded ~ $0.30) | ↑ 200% more | ↑ 71.1% more |
| #9 |
Gemini 3.5 Flash
Google
|
$0.301296 (rounded ~ $0.30) | ↑ 200% more | ↑ 71.1% more |
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.8 Flash Google
Grok 4.3 xAI
Gemini 3.6 Flash Google
Gemini 2.5 Pro Google
Gemini 3.5 Flash Google
Gemini 3.5 Flash Google
Choosing Between Flash and Emotional Intelligence in Audio
When selecting a model for producing 60 minutes of weekly AI-narrated audio, the decision often comes down to the desired nature of the content. Gemini 3.1 Flash is optimized for speed, reliability, and structured output, making it the workhorse for straightforward summarization and narration tasks where cost-efficiency is the primary driver. It handles text-to-speech conversion with high consistency, which is critical when maintaining a uniform style across long-form academic content.
Conversely, Grok 4.1 introduces a dimension of emotional intelligence and conversational nuance. For research projects that involve more creative or narrative-heavy formats—such as podcast-style interviews or synthesized discussions between researchers—Grok 4.1 offers a more expressive output. Its ability to capture subtle tonal shifts can make the resulting audio significantly more engaging for your audience, moving beyond simple recitation to convey the underlying intent and personality of the material.
Researchers should evaluate their specific needs: if the goal is purely functional—like an automated reading of a research paper—the efficiency of Gemini 3.1 Flash is likely the superior choice. However, if the project aims to communicate complex ideas through a more conversational or pedagogical lens, the expressive capabilities of Grok 4.1 may justify the different operational profile. Both models offer robust performance for this volume, and your choice should align with the pedagogical strategy of your research communication.