Per-Call Cost: 256K-Token Scene Descriptions with Mistral Large 3 vs. GPT-5.4 Pro

Mistral Large 3 vs GPT-5.4 Pro
Complete Comparison: 256,000 input tokens × 50,000 output tokens
Comparison Mode
⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Mistral Large 3
Mistral AI
GPT-5.4 Pro
OpenAI
Calculation Results (Current Inputs) (50% cached)
Input Tokens 256,000 256,000
Output Tokens 50,000 50,000
Cost Breakdown
Input Cost $0.032000 (rounded ~ $0.03)Best $7.680000Worst
Output Cost $0.018750 (rounded ~ $0.02)Best $6.750000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.036350 (rounded ~ $0.04) Best Value $10.974000 (rounded ~ $10.97) Most Expensive
Processing Time 10 minutes, 55.02 seconds Fastest 15 minutes, 35.67 seconds Slowest
Tokens per Second 500Fastest 350Slowest
Time to First Token 160ms Best 250ms Worst
Cost per 1K tokens $0.000119Best $0.035863 (rounded ~ $0.04)Worst
Tokens per Dollar 8,418,157Best Value 27,884Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.125000 (rounded ~ $0.13)Best $30.000000Worst
Output Cost / 1M (Base) $0.375000 (rounded ~ $0.38)Best $135.000000Worst
Input Cost / 1M (Optimized) $0.062500 (rounded ~ $0.06)Best
Optimizations: 50.0% batch
$15.000000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.187500 (rounded ~ $0.19)Best
Optimizations: 50.0% batch
$67.500000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 256,000 tokens. Budgeting mode active.

Select AI Model

Mistral Large 3
Mistral AIMax Context: 256,000 tokens
$0.5 / $1.5 per 1M tokens
▼
▼
Use Batch API (50% discount)
50%
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

$0.036350 Total Cost
$0.016000 Input Cost
$0.018750 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
306,000Total Tokens
$0.000119Cost per 1K
8,418,157Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

10m 55s Processing Time
500 Tokens/Second
160ms 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 Large 3 Mistral AI

$0.036350 (rounded ~ $0.04)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 256,000 tokens. Budgeting mode active.
⚡ 50% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.050750 Input: $0.032000 (rounded ~ $0.03)
Output: $0.018750 (rounded ~ $0.02)
Optimized Cost $0.036350 (rounded ~ $0.04) Input: $0.032000 (rounded ~ $0.03)
Output: $0.018750 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.014400 (rounded ~ $0.01) 28.4% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 256,000 input tokens and 50,000 output tokens:

  • Input Cost: $0.032000 (rounded ~ $0.03)
  • Output Cost: $0.018750 (rounded ~ $0.02)
  • Total Cost: $0.036350 (rounded ~ $0.04)
  • Cost per 1K tokens: $0.000119
  • Tokens per dollar: 8,418,157 tokens
  • Context Window: 256000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 160ms time to first token:

  • Processing Time: 10 minutes, 55.02 seconds
  • Latency: 160 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 467 tokens/second (temperature-adjusted)

Best Use Cases

General purposeChatCode generation

Want this applied to YOUR actual stack?

This calculator shows the math for Mistral Large 3. 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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GPT-5.4 Pro OpenAI 1024000 🏔️ Context Cliff

$10.974000 (rounded ~ $10.97)
Total Cost
⚡ 50% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $14.430000 Input: $7.680000
Output: $6.750000
Optimized Cost $10.974000 (rounded ~ $10.97) Input: $7.680000
Output: $6.750000
Unit: $0.000000
Fees: $0.000000
Total Savings $3.456000 (rounded ~ $3.46) 24.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
🏔️ Context Cliff
Premium Tier
>272,000 tokens triggered premium pricing
📊 Cliff Pricing
Premium
premium pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

For 256,000 input tokens and 50,000 output tokens:

  • Input Cost: $7.680000
  • Output Cost: $6.750000
  • Total Cost: $10.974000 (rounded ~ $10.97)
  • Cost per 1K tokens: $0.035863 (rounded ~ $0.04)
  • Tokens per dollar: 27,884 tokens
  • Context Window: 1024000 tokens

Speed & Performance Analysis

With a processing speed of 350 tokens per second and 250ms time to first token:

  • Processing Time: 15 minutes, 35.67 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 327 tokens/second (temperature-adjusted)

Best Use Cases

General purposeChatCode generation

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4 Pro. 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 Large 3
📋 Active Input Parameters
Input Tokens: 256,000
Output Tokens: 50,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Mistral Large 3 vs GPT-5.4 Pro
🏆 Gemini 3.1 Flash Lite
Google
 $0.027550 (rounded ~ $0.03) Best Value ↓ 24.2% cheaper ↓ 99.7% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.041810 (rounded ~ $0.04) ↑ 15% more ↓ 99.6% cheaper
🥉 Grok 4.3
xAI
 $0.075250 (rounded ~ $0.08) ↑ 107% more ↓ 99.3% cheaper
#4 GPT-5.4 mini
OpenAI
 $0.082650 (rounded ~ $0.08) ↑ 127.4% more ↓ 99.2% cheaper
#5 Claude Haiku 4.5
Anthropic
 $0.097700 (rounded ~ $0.10) ↑ 168.8% more ↓ 99.1% cheaper
#6 Grok 4.20 Beta
xAI
 $0.145400 (rounded ~ $0.15) ↑ 300% more ↓ 98.7% cheaper
#7 Gemini 3.5 Flash
Google
 $0.165300 (rounded ~ $0.17) ↑ 354.7% more ↓ 98.5% cheaper
#8 Gemini 3.1 Flash
Google
 $0.220400 ↑ 506.3% more ↓ 98% cheaper
#9 Claude Sonnet 4.6
Anthropic
 $0.293100 (rounded ~ $0.29) ↑ 706.3% more ↓ 97.3% cheaper
#10 Claude Opus 4.7
Anthropic
 $0.488500 (rounded ~ $0.49) ↑ 1243.9% more ↓ 95.5% cheaper
#11 Claude Opus 4.8
Anthropic
 $0.488500 (rounded ~ $0.49) ↑ 1243.9% more ↓ 95.5% cheaper
#12 Claude Opus 4.6
Anthropic
 $0.488500 (rounded ~ $0.49) ↑ 1243.9% more ↓ 95.5% cheaper
#13 Gemini 2.5 Pro
Google
 $0.551000 ↑ 1415.8% more ↓ 95% cheaper
#14 GPT-5.5 Instant
OpenAI
 $0.551000 ↑ 1415.8% more ↓ 95% cheaper
#15 Gemini 3.1 Pro
Google
 $0.731600 (rounded ~ $0.73) ↑ 1912.7% more ↓ 93.3% cheaper
#16 GPT-5.4
OpenAI
 $0.914500 (rounded ~ $0.91) ↑ 2415.8% more ↓ 91.7% cheaper
#17 GPT-5.4 Thinking
OpenAI
 $0.914500 (rounded ~ $0.91) ↑ 2415.8% more ↓ 91.7% cheaper
#18 GPT-5.5
OpenAI
 $1.829000 (rounded ~ $1.83) ↑ 4931.6% more ↓ 83.3% cheaper
#19 GPT-5.5
OpenAI
 $1.829000 (rounded ~ $1.83) ↑ 4931.6% more ↓ 83.3% cheaper
🏆

Gemini 3.1 Flash Lite
Google

$0.027550 (rounded ~ $0.03)
vs Mistral Large 3: ↓ 24.2%
vs GPT-5.4 Pro: ↓ 99.7%
🥈

Gemini 2.5 Flash
Google

$0.041810 (rounded ~ $0.04)
vs Mistral Large 3: ↑ 15%
vs GPT-5.4 Pro: ↓ 99.6%
🥉

Grok 4.3
xAI

$0.075250 (rounded ~ $0.08)
vs Mistral Large 3: ↑ 107%
vs GPT-5.4 Pro: ↓ 99.3%
#4

GPT-5.4 mini
OpenAI

$0.082650 (rounded ~ $0.08)
vs Mistral Large 3: ↑ 127.4%
vs GPT-5.4 Pro: ↓ 99.2%
#5

Claude Haiku 4.5
Anthropic

$0.097700 (rounded ~ $0.10)
vs Mistral Large 3: ↑ 168.8%
vs GPT-5.4 Pro: ↓ 99.1%
#6

Grok 4.20 Beta
xAI

$0.145400 (rounded ~ $0.15)
vs Mistral Large 3: ↑ 300%
vs GPT-5.4 Pro: ↓ 98.7%
#7

Gemini 3.5 Flash
Google

$0.165300 (rounded ~ $0.17)
vs Mistral Large 3: ↑ 354.7%
vs GPT-5.4 Pro: ↓ 98.5%
#8

Gemini 3.1 Flash
Google

$0.220400
vs Mistral Large 3: ↑ 506.3%
vs GPT-5.4 Pro: ↓ 98%
#9

Claude Sonnet 4.6
Anthropic

$0.293100 (rounded ~ $0.29)
vs Mistral Large 3: ↑ 706.3%
vs GPT-5.4 Pro: ↓ 97.3%
#10

Claude Opus 4.7
Anthropic

$0.488500 (rounded ~ $0.49)
vs Mistral Large 3: ↑ 1243.9%
vs GPT-5.4 Pro: ↓ 95.5%
#11

Claude Opus 4.8
Anthropic

$0.488500 (rounded ~ $0.49)
vs Mistral Large 3: ↑ 1243.9%
vs GPT-5.4 Pro: ↓ 95.5%
#12

Claude Opus 4.6
Anthropic

$0.488500 (rounded ~ $0.49)
vs Mistral Large 3: ↑ 1243.9%
vs GPT-5.4 Pro: ↓ 95.5%
#13

Gemini 2.5 Pro
Google

$0.551000
vs Mistral Large 3: ↑ 1415.8%
vs GPT-5.4 Pro: ↓ 95%
#14

GPT-5.5 Instant
OpenAI

$0.551000
vs Mistral Large 3: ↑ 1415.8%
vs GPT-5.4 Pro: ↓ 95%
#15

Gemini 3.1 Pro
Google

$0.731600 (rounded ~ $0.73)
vs Mistral Large 3: ↑ 1912.7%
vs GPT-5.4 Pro: ↓ 93.3%
#16

GPT-5.4
OpenAI

$0.914500 (rounded ~ $0.91)
vs Mistral Large 3: ↑ 2415.8%
vs GPT-5.4 Pro: ↓ 91.7%
#17

GPT-5.4 Thinking
OpenAI

$0.914500 (rounded ~ $0.91)
vs Mistral Large 3: ↑ 2415.8%
vs GPT-5.4 Pro: ↓ 91.7%
#18

GPT-5.5
OpenAI

$1.829000 (rounded ~ $1.83)
vs Mistral Large 3: ↑ 4931.6%
vs GPT-5.4 Pro: ↓ 83.3%
#19

GPT-5.5
OpenAI

$1.829000 (rounded ~ $1.83)
vs Mistral Large 3: ↑ 4931.6%
vs GPT-5.4 Pro: ↓ 83.3%
✨ 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.

For generating rich scene descriptions for video storyboards, evaluating the per-call cost of Mistral Large 3 against GPT-5.4 Pro offers valuable insights for AI consultants. Mistral Large 3, with its 256K context window, is capable of processing substantial textual input to craft detailed narratives. GPT-5.4 Pro, featuring a much larger context window, can handle even more extensive prompts or produce longer, more intricate descriptions. Consultants should consider how each model’s reasoning and creative writing capabilities translate into effective scene descriptions that guide visual production. Factors like the latency for interactive development, the nuance in interpreting directorial feedback, and the overall quality of descriptive prose are critical decision points beyond mere per-token pricing.

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.