Gemini 3.1 Flash Google 1000000
$0.032016 (rounded ~ $0.03)
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)
$0.038550 (rounded ~ $0.04)
Input: $0.036300 (rounded ~ $0.04)
Output: $0.002250
Output: $0.002250
Optimized Cost
$0.032016 (rounded ~ $0.03)
Input: $0.036300 (rounded ~ $0.04)
Output: $0.002250
Unit: $0.000000
Fees: $0.000000
Output: $0.002250
Unit: $0.000000
Fees: $0.000000
Total Savings
$0.006534 (rounded ~ $0.01)
16.9% discount
Advanced Cost Breakdown (from Plugin)
🖼️ Multimodal Input
$0.000000
115,200 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Standard
tier1 pricing based on 0 tokens
Multimodal Input Details
🎧 Audio
Duration: 60 minutes
Cost: $0.000000
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 30,000 input tokens and 1,500 output tokens:
- Input Cost: $0.036300 (rounded ~ $0.04)
- Output Cost: $0.002250
- Total Cost: $0.032016 (rounded ~ $0.03)
- Cost per 1K tokens: $0.000218
- Tokens per dollar: 4,582,084 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, 7.22 seconds
- Latency: 100 milliseconds to first token
- Base Throughput: 800 tokens/second
- Effective Throughput: 784 tokens/second (temperature-adjusted)
Best Use Cases
Real-time transcription and summarization of user interviewsfocus groupsand research sessions.
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.
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← Back to Gemini 3.1 Flash
📋 Active Input Parameters
Input Tokens:
30,000
Output Tokens:
1,500
Batch API:
Enabled (50% discount)
Cached Tokens:
20%
Audio:
60 minutes
Tools:
Enabled
| Rank | AI Model & Provider | Total Cost | vs Gemini 3.1 Flash |
|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.008004 (rounded ~ $0.01) Best Value | ↓ 75% cheaper |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.009867 | ↓ 69.2% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.009867 | ↓ 69.2% cheaper |
| #4 |
Gemini 3.8 Flash
Google
|
$0.023731 (rounded ~ $0.02) | ↓ 25.9% cheaper |
| #5 |
Gemini 3.6 Flash
Google
|
$0.047462 (rounded ~ $0.05) | ↑ 48.2% more |
| #6 |
Gemini 3.5 Flash
Google
|
$0.048024 (rounded ~ $0.05) | ↑ 50% more |
| #7 |
Gemini 2.5 Pro
Google
|
$0.081915 (rounded ~ $0.08) | ↑ 155.9% more |
| #8 |
Grok 4.3
xAI
|
$0.122064 (rounded ~ $0.12) | ↑ 281.3% more |
| #9 |
Grok 4.3
xAI
|
$0.122064 (rounded ~ $0.12) | ↑ 281.3% more |
🏆
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite Google
$0.008004 (rounded ~ $0.01)
vs Gemini 3.1 Flash:
↓ 75%
🥈
Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite Google
$0.009867
vs Gemini 3.1 Flash:
↓ 69.2%
🥉
Gemini 2.5 Flash
Gemini 2.5 Flash Google
$0.009867
vs Gemini 3.1 Flash:
↓ 69.2%
#4
Gemini 3.8 Flash
Gemini 3.8 Flash Google
$0.023731 (rounded ~ $0.02)
vs Gemini 3.1 Flash:
↓ 25.9%
#5
Gemini 3.6 Flash
Gemini 3.6 Flash Google
$0.047462 (rounded ~ $0.05)
vs Gemini 3.1 Flash:
↑ 48.2%
#6
Gemini 3.5 Flash
Gemini 3.5 Flash Google
$0.048024 (rounded ~ $0.05)
vs Gemini 3.1 Flash:
↑ 50%
#7
Gemini 2.5 Pro
Gemini 2.5 Pro Google
$0.081915 (rounded ~ $0.08)
vs Gemini 3.1 Flash:
↑ 155.9%
#8
Grok 4.3
Grok 4.3 xAI
$0.122064 (rounded ~ $0.12)
vs Gemini 3.1 Flash:
↑ 281.3%
#9
Grok 4.3
Grok 4.3 xAI
$0.122064 (rounded ~ $0.12)
vs Gemini 3.1 Flash:
↑ 281.3%
✨ 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.
Optimizing Meeting Research Workflows
For UX researchers and product teams, automating the transcription and synthesis of 60-minute user interviews is a force multiplier. Gemini 3.1 Flash stands out as a primary candidate for this workload due to its native multimodal capability, allowing it to ingest raw audio streams directly without the need for an intermediate, third-party transcription service. This reduces architectural complexity and latency, which is crucial when you need to provide real-time feedback or immediate summaries during a research session.
Why Gemini 3.1 Flash for Transcription?
- Native Multimodal Integration: Bypassing the need for a separate speech-to-text API simplifies your pipeline and reduces potential points of failure.
- Latency Optimization: The model is designed for high-throughput, real-time tasks, making it ideal for live research note-taking where every second of delay impacts the moderator’s flow.
- High-Fidelity Context: With its large context window, it excels at maintaining continuity across long, multi-speaker sessions, ensuring that summary nuances—like specific user pain points or feature requests—are captured accurately.
When planning your research infrastructure, consider the stability of the audio input. While Gemini is robust, ensuring clean audio is captured—whether via a video conferencing tool or direct recorder—remains the biggest lever for improving output quality. For teams scaling from occasional user interviews to daily, high-volume research, this model offers the right balance of speed, cost-effectiveness, and reasoning capability to keep your synthesis pipeline running 24/7 without bottlenecks.
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.