Mistral Vibe Mistral
$0.012500 (rounded ~ $0.01)
Total Cost
Vision/Images
✗ Not Available
requested
Audio Processing
✗ Not Available
requested
Video Analysis
✗ Not Available
Tool Usage
✗ Not Available
OCR Support
✗ Not Available
Batch API
✗ Not Available
Caching
✗ Not Available
💰 Total Cost Calculation (from Plugin)
Base Cost (No Optimizations)
$0.012500 (rounded ~ $0.01)
Input: $0.002500
Output: $0.010000
Output: $0.010000
Optimized Cost
$0.012500 (rounded ~ $0.01)
Input: $0.002500
Output: $0.010000
Unit: $0.000000
Fees: $0.000000
Output: $0.010000
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 5,000 input tokens and 5,000 output tokens:
- Input Cost: $0.002500
- Output Cost: $0.010000
- Total Cost: $0.012500 (rounded ~ $0.01)
- Cost per 1K tokens: $0.001250
- Tokens per dollar: 800,000 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: 21.98 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 459 tokens/second (temperature-adjusted)
Best Use Cases
Brand DesignMusic SyncCreative Direction
Want this applied to YOUR actual stack?
This calculator shows the math for Mistral Vibe. 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 Mistral Vibe
📋 Active Input Parameters
Input Tokens:
5,000
Output Tokens:
5,000
Images:
5 (Medium Resolution)
Audio:
5 minutes
| Rank | AI Model & Provider | Total Cost | vs Mistral Vibe |
|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.011795 (rounded ~ $0.01) Best Value | ↓ 5.6% cheaper |
| 🥈 |
Gemini 2.5 Flash
Google
|
$0.017654 (rounded ~ $0.02) | ↑ 41.2% more |
| 🥉 |
Gemini 3.1 Flash
Google
|
$0.023590 (rounded ~ $0.02) | ↑ 88.7% more |
| #4 |
Grok 4.3
xAI
|
$0.033975 (rounded ~ $0.03) | ↑ 171.8% more |
| #5 |
Gemini 3.5 Flash
Google
|
$0.070770 | ↑ 466.2% more |
| #6 |
Gemini 2.5 Pro
Google
|
$0.071475 (rounded ~ $0.07) | ↑ 471.8% more |
| #7 |
Gemini 2.5 Pro
Google
|
$0.071475 (rounded ~ $0.07) | ↑ 471.8% more |
🏆
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite Google
$0.011795 (rounded ~ $0.01)
vs Mistral Vibe:
↓ 5.6%
🥈
Gemini 2.5 Flash
Gemini 2.5 Flash Google
$0.017654 (rounded ~ $0.02)
vs Mistral Vibe:
↑ 41.2%
🥉
Gemini 3.1 Flash
Gemini 3.1 Flash Google
$0.023590 (rounded ~ $0.02)
vs Mistral Vibe:
↑ 88.7%
#4
Grok 4.3
Grok 4.3 xAI
$0.033975 (rounded ~ $0.03)
vs Mistral Vibe:
↑ 171.8%
#5
Gemini 3.5 Flash
Gemini 3.5 Flash Google
$0.070770
vs Mistral Vibe:
↑ 466.2%
#6
Gemini 2.5 Pro
Gemini 2.5 Pro Google
$0.071475 (rounded ~ $0.07)
vs Mistral Vibe:
↑ 471.8%
#7
Gemini 2.5 Pro
Gemini 2.5 Pro Google
$0.071475 (rounded ~ $0.07)
vs Mistral Vibe:
↑ 471.8%
✨ 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.
The Aesthetic Intelligence Engine
Calculate the cost of syncing visual brand identity with AI-generated audio themes. Mistral Vibe focuses on creative ‘flow’ and aesthetic consistency across media.
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 are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
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 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.