Creative Writing & Scripting: Mistral Vibe (Tier 2)

Mistral Vibe vs Grok 4.1 Fast
Complete Comparison: 25,000 input tokens × 5,000 output tokens
Comparison Mode
⚡ 30% Cached

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

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Mistral Vibe
Mistral AI
Grok 4.1 Fast
xAI
Calculation Results (Current Inputs) (30% cached)
Input Tokens N/A (Special Pricing) 25,000
Output Tokens N/A (Special Pricing) 5,000
Cost Breakdown
Input Cost N/A (Special Pricing) $0.007813 (rounded ~ $0.01)
Output Cost N/A (Special Pricing) $0.003125
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.022500 (rounded ~ $0.02) Most Expensive $0.008828 (rounded ~ $0.01) Best Value
Processing Time 1 minute, 4.38 seconds Slowest 40.31 seconds Fastest
Tokens per Second N/A (Special Pricing) 800
Time to First Token 200ms Worst 100ms Best
Cost per 1K tokens N/A (Special Pricing) $0.000294
Tokens per Dollar N/A (Special Pricing) 3,398,230
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) N/A (Special Pricing) $0.312500 (rounded ~ $0.31)
Output Cost / 1M (Base) N/A (Special Pricing) $0.625000 (rounded ~ $0.63)
Input Cost / 1M (Optimized) N/A (Special Pricing) $0.156250 (rounded ~ $0.16)
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) N/A (Special Pricing) $0.312500 (rounded ~ $0.31)
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✗ Not Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
OCR Support ✗ Not Supported ✓ Supported
Caching Support
30
✗ Not Supported requested ✓ Supported
Batch API Support ✗ Not Supported ✓ Supported
Tool Usage Support ✗ Not Supported ✓ Supported
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Select AI Model

Mistral Vibe
Mistral AIMax Context: 256,000 tokens
$0.500000 / $2.000000 per 1M
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.

Calculate Token Costs

$0.012500 Input Cost
$0.010000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
30,000Total Tokens
$0.000750Cost per 1K
1,333,333Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

1m 4s Processing Time
500 Tokens/Second
200ms Time to First Token
467 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.

Mistral Vibe Mistral AI

$0.022500 (rounded ~ $0.02)
Total Cost
⚡ 30% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available requested
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.022500 (rounded ~ $0.02) Input: $0.012500 (rounded ~ $0.01)
Output: $0.010000
Optimized Cost $0.022500 (rounded ~ $0.02) Input: $0.012500 (rounded ~ $0.01)
Output: $0.010000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 25,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.012500 (rounded ~ $0.01)
  • Output Cost: $0.010000
  • Total Cost: $0.022500 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.000750
  • Tokens per dollar: 1,333,333 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: 1 minute, 4.38 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 467 tokens/second (temperature-adjusted)

Best Use Cases

Expressive and stylistic long-form content generation.

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.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

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Grok 4.1 Fast xAI 2000000

$0.008828 (rounded ~ $0.01)
Total Cost
⚡ 30% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✓ Available
📊
Batch API
✓ Available
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.010938 Input: $0.007813 (rounded ~ $0.01)
Output: $0.003125
Optimized Cost $0.008828 (rounded ~ $0.01) Input: $0.007813 (rounded ~ $0.01)
Output: $0.003125
Unit: $0.000000
Fees: $0.000000
Total Savings $0.002109 19.3% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 25,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.007813 (rounded ~ $0.01)
  • Output Cost: $0.003125
  • Total Cost: $0.008828 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000294
  • Tokens per dollar: 3,398,230 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: 40.31 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 748 tokens/second (temperature-adjusted)

Best Use Cases

Expressive and stylistic long-form content generation.

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 Mistral Vibe
📋 Active Input Parameters
Input Tokens: 25,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Mistral Vibe vs Grok 4.1 Fast
🏆 Mistral Small 3
Mistral AI
$0.000831 Best Value ↓ 96.3% cheaper ↓ 90.6% cheaper
🥈 Grok Code Fast 1
xAI
$0.002788 ↓ 87.6% cheaper ↓ 68.4% cheaper
🥉 Gemini 3.1 Flash Lite
Google
$0.003016 ↓ 86.6% cheaper ↓ 65.8% cheaper
#4 Mistral Large 3
Mistral AI
$0.004156 ↓ 81.5% cheaper ↓ 52.9% cheaper
#5 Gemini 2.5 Flash
Google
$0.004494 ↓ 80% cheaper ↓ 49.1% cheaper
#6 Grok 4.3
xAI
$0.008828 (rounded ~ $0.01) ↓ 60.8% cheaper Same price
#7 GPT-5.4 mini
OpenAI
$0.009047 ↓ 59.8% cheaper ↑ 2.5% more
#8 o4-mini Deep Research
OpenAI
$0.009563 ↓ 57.5% cheaper ↑ 8.3% more
#9 o4-mini
OpenAI
$0.010519 ↓ 53.3% cheaper ↑ 19.2% more
#10 Claude Haiku 4.5
Anthropic
$0.010813 ↓ 51.9% cheaper ↑ 22.5% more
#11 Gemini 3.1 Flash
Google
$0.012063 (rounded ~ $0.01) ↓ 46.4% cheaper ↑ 36.6% more
#12 Grok 4.20 Beta
xAI
$0.016625 (rounded ~ $0.02) ↓ 26.1% cheaper ↑ 88.3% more
#13 Gemini 3.5 Flash
Google
$0.018094 (rounded ~ $0.02) ↓ 19.6% cheaper ↑ 105% more
#14 GPT-5.3 Codex Spark
OpenAI
$0.025484 (rounded ~ $0.03) ↑ 13.3% more ↑ 188.7% more
#15 GPT-5.3 Instant
OpenAI
$0.025484 (rounded ~ $0.03) ↑ 13.3% more ↑ 188.7% more
#16 Claude Sonnet 4.6
Anthropic
$0.032438 (rounded ~ $0.03) ↑ 44.2% more ↑ 267.4% more
#17 Gemini 2.5 Pro
Google
$0.036406 (rounded ~ $0.04) ↑ 61.8% more ↑ 312.4% more
#18 Gemini 3.1 Pro
Google
$0.048250 (rounded ~ $0.05) ↑ 114.4% more ↑ 446.5% more
#19 Claude Opus 4.7
Anthropic
$0.054063 (rounded ~ $0.05) ↑ 140.3% more ↑ 512.4% more
#20 Claude Opus 4.8
Anthropic
$0.054063 (rounded ~ $0.05) ↑ 140.3% more ↑ 512.4% more
#21 Claude Opus 4.6
Anthropic
$0.054063 (rounded ~ $0.05) ↑ 140.3% more ↑ 512.4% more
#22 GPT-5.4
OpenAI
$0.060313 ↑ 168.1% more ↑ 583.2% more
#23 GPT-5.4 Thinking
OpenAI
$0.060313 ↑ 168.1% more ↑ 583.2% more
#24 GPT-5.5 Instant
OpenAI
$0.060313 ↑ 168.1% more ↑ 583.2% more
#25 o3 Deep Research
OpenAI
$0.095625 (rounded ~ $0.10) ↑ 325% more ↑ 983.2% more
#26 GPT-5.5
OpenAI
$0.120625 ↑ 436.1% more ↑ 1266.4% more
#27 o3 Pro
OpenAI
$0.191250 (rounded ~ $0.19) ↑ 750% more ↑ 2066.4% more
#28 GPT-5.2 Pro
OpenAI
$0.305813 (rounded ~ $0.31) ↑ 1259.2% more ↑ 3364.1% more
#29 GPT-5.2 Pro
OpenAI
$0.305813 (rounded ~ $0.31) ↑ 1259.2% more ↑ 3364.1% more
🏆

Mistral Small 3
Mistral AI

$0.000831
vs Mistral Vibe: ↓ 96.3%
vs Grok 4.1 Fast: ↓ 90.6%
🥈

Grok Code Fast 1
xAI

$0.002788
vs Mistral Vibe: ↓ 87.6%
vs Grok 4.1 Fast: ↓ 68.4%
🥉

Gemini 3.1 Flash Lite
Google

$0.003016
vs Mistral Vibe: ↓ 86.6%
vs Grok 4.1 Fast: ↓ 65.8%
#4

Mistral Large 3
Mistral AI

$0.004156
vs Mistral Vibe: ↓ 81.5%
vs Grok 4.1 Fast: ↓ 52.9%
#5

Gemini 2.5 Flash
Google

$0.004494
vs Mistral Vibe: ↓ 80%
vs Grok 4.1 Fast: ↓ 49.1%
#6

Grok 4.3
xAI

$0.008828 (rounded ~ $0.01)
vs Mistral Vibe: ↓ 60.8%
vs Grok 4.1 Fast: Same
#7

GPT-5.4 mini
OpenAI

$0.009047
vs Mistral Vibe: ↓ 59.8%
vs Grok 4.1 Fast: ↑ 2.5%
#8

o4-mini Deep Research
OpenAI

$0.009563
vs Mistral Vibe: ↓ 57.5%
vs Grok 4.1 Fast: ↑ 8.3%
#9

o4-mini
OpenAI

$0.010519
vs Mistral Vibe: ↓ 53.3%
vs Grok 4.1 Fast: ↑ 19.2%
#10

Claude Haiku 4.5
Anthropic

$0.010813
vs Mistral Vibe: ↓ 51.9%
vs Grok 4.1 Fast: ↑ 22.5%
#11

Gemini 3.1 Flash
Google

$0.012063 (rounded ~ $0.01)
vs Mistral Vibe: ↓ 46.4%
vs Grok 4.1 Fast: ↑ 36.6%
#12

Grok 4.20 Beta
xAI

$0.016625 (rounded ~ $0.02)
vs Mistral Vibe: ↓ 26.1%
vs Grok 4.1 Fast: ↑ 88.3%
#13

Gemini 3.5 Flash
Google

$0.018094 (rounded ~ $0.02)
vs Mistral Vibe: ↓ 19.6%
vs Grok 4.1 Fast: ↑ 105%
#14

GPT-5.3 Codex Spark
OpenAI

$0.025484 (rounded ~ $0.03)
vs Mistral Vibe: ↑ 13.3%
vs Grok 4.1 Fast: ↑ 188.7%
#15

GPT-5.3 Instant
OpenAI

$0.025484 (rounded ~ $0.03)
vs Mistral Vibe: ↑ 13.3%
vs Grok 4.1 Fast: ↑ 188.7%
#16

Claude Sonnet 4.6
Anthropic

$0.032438 (rounded ~ $0.03)
vs Mistral Vibe: ↑ 44.2%
vs Grok 4.1 Fast: ↑ 267.4%
#17

Gemini 2.5 Pro
Google

$0.036406 (rounded ~ $0.04)
vs Mistral Vibe: ↑ 61.8%
vs Grok 4.1 Fast: ↑ 312.4%
#18

Gemini 3.1 Pro
Google

$0.048250 (rounded ~ $0.05)
vs Mistral Vibe: ↑ 114.4%
vs Grok 4.1 Fast: ↑ 446.5%
#19

Claude Opus 4.7
Anthropic

$0.054063 (rounded ~ $0.05)
vs Mistral Vibe: ↑ 140.3%
vs Grok 4.1 Fast: ↑ 512.4%
#20

Claude Opus 4.8
Anthropic

$0.054063 (rounded ~ $0.05)
vs Mistral Vibe: ↑ 140.3%
vs Grok 4.1 Fast: ↑ 512.4%
#21

Claude Opus 4.6
Anthropic

$0.054063 (rounded ~ $0.05)
vs Mistral Vibe: ↑ 140.3%
vs Grok 4.1 Fast: ↑ 512.4%
#22

GPT-5.4
OpenAI

$0.060313
vs Mistral Vibe: ↑ 168.1%
vs Grok 4.1 Fast: ↑ 583.2%
#23

GPT-5.4 Thinking
OpenAI

$0.060313
vs Mistral Vibe: ↑ 168.1%
vs Grok 4.1 Fast: ↑ 583.2%
#24

GPT-5.5 Instant
OpenAI

$0.060313
vs Mistral Vibe: ↑ 168.1%
vs Grok 4.1 Fast: ↑ 583.2%
#25

o3 Deep Research
OpenAI

$0.095625 (rounded ~ $0.10)
vs Mistral Vibe: ↑ 325%
vs Grok 4.1 Fast: ↑ 983.2%
#26

GPT-5.5
OpenAI

$0.120625
vs Mistral Vibe: ↑ 436.1%
vs Grok 4.1 Fast: ↑ 1266.4%
#27

o3 Pro
OpenAI

$0.191250 (rounded ~ $0.19)
vs Mistral Vibe: ↑ 750%
vs Grok 4.1 Fast: ↑ 2066.4%
#28

GPT-5.2 Pro
OpenAI

$0.305813 (rounded ~ $0.31)
vs Mistral Vibe: ↑ 1259.2%
vs Grok 4.1 Fast: ↑ 3364.1%
#29

GPT-5.2 Pro
OpenAI

$0.305813 (rounded ~ $0.31)
vs Mistral Vibe: ↑ 1259.2%
vs Grok 4.1 Fast: ↑ 3364.1%
✨ 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.

Expressive and stylistic long-form content generation.

Estimate the operational costs for 2026 enterprise AI deployments using latest tokenomics.

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 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.