Cost Optimization for 10,000 Browser Interactions: Llama 4 Maverick vs Mistral Large 3

Llama 4 Maverick (400B) vs Mistral Large 3
Complete Comparison: 10,000 input tokens × 1,000 output tokens
Comparison Mode
🖼️ 10 Images ⚡ 70% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 10 Images, 70% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Llama 4 Maverick (400B)
Meta AI
Mistral Large 3
Mistral AI
Calculation Results (Current Inputs) (10 images, 70% cached)
Input Tokens 10,000 10,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $0.003915Worst $0.001895Best
Output Cost $0.000600Worst $0.000375Best
Unit Cost (Audio/OCR) $0.000000 $0.000250
Service Fees $0.000000 $0.000000
Total Cost $0.004515 Most Expensive $0.001326 Best Value
Processing Time 1 minute, 12.00 seconds Slowest 34.44 seconds Fastest
Tokens per Second 400Slowest 500Fastest
Time to First Token 150ms Best 160ms Worst
Cost per 1K tokens $0.000167Worst $0.000082Best
Tokens per Dollar 6,002,215Worst Value 12,185,650Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.150000Worst $0.125000 (rounded ~ $0.13)Best
Output Cost / 1M (Base) $0.600000Worst $0.375000 (rounded ~ $0.38)Best
Input Cost / 1M (Optimized) $0.150000Worst
Optimizations: No optimizations applied
$0.062500 (rounded ~ $0.06)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.600000Worst
Optimizations: No optimizations applied
$0.187500 (rounded ~ $0.19)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
10
✓ Supported ✓ Supported
Caching Support
70
✗ Not Supported requested ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Select AI Model

Llama 4 Maverick (400B)
Meta AIMax Context: 1,000,000 tokens
$0.15 / $0.6 per 1M tokens
▼
▼
Use Batch API (50% discount)
70%
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.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$0.004515 Total Cost
$0.003915 Input Cost
$0.000600 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
27,100Total Tokens
$0.000167Cost per 1K
6,002,215Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

1m 11s Processing Time
400 Tokens/Second
150ms Time to First Token
377 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.

Llama 4 Maverick (400B) Meta AI 1000000

$0.004515
Total Cost
🖼️ 10 Image (Medium) ⚡ 70% 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
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.004515 Input: $0.003915
Output: $0.000600
Optimized Cost $0.004515 Input: $0.003915
Output: $0.000600
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
16,100 tokens

Multimodal Input Details

🖼️ Images
Count: 10
Resolution: Medium
Tokens: 16,100
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.003915
  • Output Cost: $0.000600
  • Total Cost: $0.004515
  • Cost per 1K tokens: $0.000167
  • Tokens per dollar: 6,002,215 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 150ms time to first token:

  • Processing Time: 1 minute, 12.00 seconds
  • Latency: 150 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 377 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-volumecost-efficient automation pipelines where throughput and latency are key metrics.

Want this applied to YOUR actual stack?

This calculator shows the math for Llama 4 Maverick (400B). 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 →

Mistral Large 3 Mistral AI

$0.001326
Total Cost
🖼️ 10 Image (Medium) ⚡ 70% 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) $0.002520 Input: $0.001895
Output: $0.000375
Optimized Cost $0.001326 Input: $0.001895
Output: $0.000375
Unit: $0.000250
Fees: $0.000000
Total Savings $0.001194 47.4% discount

Advanced Cost Breakdown (from Plugin)

👁️ Vision Prefill
$0.000250
2,000 tokens
🖼️ Multimodal Input
$0.000000
5,160 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 10
Resolution: Medium
Tokens: 5,160
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.001895
  • Output Cost: $0.000375
  • Unit Cost: $0.000250
  • Total Cost: $0.001326
  • Cost per 1K tokens: $0.000082
  • Tokens per dollar: 12,185,650 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: 34.44 seconds
  • Latency: 160 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 472 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-volumecost-efficient automation pipelines where throughput and latency are key metrics.

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.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Llama 4 Maverick (400B)
📋 Active Input Parameters
Input Tokens: 10,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 70%
Images: 10 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Llama 4 Maverick (400B) vs Mistral Large 3
🏆 Mistral Small 3
Mistral AI
 $0.000215 Best Value ↓ 95.2% cheaper ↓ 83.8% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.000726 ↓ 83.9% cheaper ↓ 45.3% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.001046 ↓ 76.8% cheaper ↓ 21.1% cheaper
#4 Mistral Large 3
Mistral AI
 $0.001326 ↓ 70.6% cheaper Same price
#5 GPT-5.4 mini
OpenAI
 $0.002177 ↓ 51.8% cheaper ↑ 64.1% more
#6 Grok 4.3
xAI
 $0.002378 ↓ 47.3% cheaper ↑ 79.3% more
#7 o4-mini Deep Research
OpenAI
 $0.002402 ↓ 46.8% cheaper ↑ 81.1% more
#8 o4-mini
OpenAI
 $0.002643 ↓ 41.5% cheaper ↑ 99.3% more
#9 Claude Haiku 4.5
Anthropic
 $0.002652 ↓ 41.3% cheaper ↑ 100% more
#10 Gemini 3.1 Flash
Google
 $0.002902 ↓ 35.7% cheaper ↑ 118.9% more
#11 Gemini 3.5 Flash
Google
 $0.004353 ↓ 3.6% cheaper ↑ 228.3% more
#12 GPT-5.3 Codex Spark
OpenAI
 $0.005954 (rounded ~ $0.01) ↑ 31.9% more ↑ 349% more
#13 GPT-5.3 Instant
OpenAI
 $0.005954 (rounded ~ $0.01) ↑ 31.9% more ↑ 349% more
#14 Claude Sonnet 4.6
Anthropic
 $0.007957 (rounded ~ $0.01) ↑ 76.2% more ↑ 500% more
#15 Gemini 2.5 Pro
Google
 $0.008506 (rounded ~ $0.01) ↑ 88.4% more ↑ 541.4% more
#16 Gemini 3.1 Pro
Google
 $0.011609 (rounded ~ $0.01) ↑ 157.1% more ↑ 775.4% more
#17 Claude Opus 4.7
Anthropic
 $0.013262 (rounded ~ $0.01) ↑ 193.7% more ↑ 900% more
#18 Claude Opus 4.8
Anthropic
 $0.013262 (rounded ~ $0.01) ↑ 193.7% more ↑ 900% more
#19 Claude Opus 4.6
Anthropic
 $0.013262 (rounded ~ $0.01) ↑ 193.7% more ↑ 900% more
#20 GPT-5.4
OpenAI
 $0.014512 (rounded ~ $0.01) ↑ 221.4% more ↑ 994.3% more
#21 GPT-5.4 Thinking
OpenAI
 $0.014512 (rounded ~ $0.01) ↑ 221.4% more ↑ 994.3% more
#22 GPT-5.5 Instant
OpenAI
 $0.014512 (rounded ~ $0.01) ↑ 221.4% more ↑ 994.3% more
#23 o3 Deep Research
OpenAI
 $0.024023 (rounded ~ $0.02) ↑ 432.1% more ↑ 1711.5% more
#24 GPT-5.5
OpenAI
 $0.029023 ↑ 542.8% more ↑ 2088.5% more
#25 o3 Pro
OpenAI
 $0.048046 (rounded ~ $0.05) ↑ 964.1% more ↑ 3523% more
#26 GPT-5.2 Pro
OpenAI
 $0.071448 (rounded ~ $0.07) ↑ 1482.5% more ↑ 5287.6% more
#27 GPT-5.2 Pro
OpenAI
 $0.071448 (rounded ~ $0.07) ↑ 1482.5% more ↑ 5287.6% more
🏆

Mistral Small 3
Mistral AI

$0.000215
vs Llama 4 Maverick (400B): ↓ 95.2%
vs Mistral Large 3: ↓ 83.8%
🥈

Gemini 3.1 Flash Lite
Google

$0.000726
vs Llama 4 Maverick (400B): ↓ 83.9%
vs Mistral Large 3: ↓ 45.3%
🥉

Gemini 2.5 Flash
Google

$0.001046
vs Llama 4 Maverick (400B): ↓ 76.8%
vs Mistral Large 3: ↓ 21.1%
#4

Mistral Large 3
Mistral AI

$0.001326
vs Llama 4 Maverick (400B): ↓ 70.6%
vs Mistral Large 3: Same
#5

GPT-5.4 mini
OpenAI

$0.002177
vs Llama 4 Maverick (400B): ↓ 51.8%
vs Mistral Large 3: ↑ 64.1%
#6

Grok 4.3
xAI

$0.002378
vs Llama 4 Maverick (400B): ↓ 47.3%
vs Mistral Large 3: ↑ 79.3%
#7

o4-mini Deep Research
OpenAI

$0.002402
vs Llama 4 Maverick (400B): ↓ 46.8%
vs Mistral Large 3: ↑ 81.1%
#8

o4-mini
OpenAI

$0.002643
vs Llama 4 Maverick (400B): ↓ 41.5%
vs Mistral Large 3: ↑ 99.3%
#9

Claude Haiku 4.5
Anthropic

$0.002652
vs Llama 4 Maverick (400B): ↓ 41.3%
vs Mistral Large 3: ↑ 100%
#10

Gemini 3.1 Flash
Google

$0.002902
vs Llama 4 Maverick (400B): ↓ 35.7%
vs Mistral Large 3: ↑ 118.9%
#11

Gemini 3.5 Flash
Google

$0.004353
vs Llama 4 Maverick (400B): ↓ 3.6%
vs Mistral Large 3: ↑ 228.3%
#12

GPT-5.3 Codex Spark
OpenAI

$0.005954 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 31.9%
vs Mistral Large 3: ↑ 349%
#13

GPT-5.3 Instant
OpenAI

$0.005954 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 31.9%
vs Mistral Large 3: ↑ 349%
#14

Claude Sonnet 4.6
Anthropic

$0.007957 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 76.2%
vs Mistral Large 3: ↑ 500%
#15

Gemini 2.5 Pro
Google

$0.008506 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 88.4%
vs Mistral Large 3: ↑ 541.4%
#16

Gemini 3.1 Pro
Google

$0.011609 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 157.1%
vs Mistral Large 3: ↑ 775.4%
#17

Claude Opus 4.7
Anthropic

$0.013262 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 193.7%
vs Mistral Large 3: ↑ 900%
#18

Claude Opus 4.8
Anthropic

$0.013262 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 193.7%
vs Mistral Large 3: ↑ 900%
#19

Claude Opus 4.6
Anthropic

$0.013262 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 193.7%
vs Mistral Large 3: ↑ 900%
#20

GPT-5.4
OpenAI

$0.014512 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 221.4%
vs Mistral Large 3: ↑ 994.3%
#21

GPT-5.4 Thinking
OpenAI

$0.014512 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 221.4%
vs Mistral Large 3: ↑ 994.3%
#22

GPT-5.5 Instant
OpenAI

$0.014512 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 221.4%
vs Mistral Large 3: ↑ 994.3%
#23

o3 Deep Research
OpenAI

$0.024023 (rounded ~ $0.02)
vs Llama 4 Maverick (400B): ↑ 432.1%
vs Mistral Large 3: ↑ 1711.5%
#24

GPT-5.5
OpenAI

$0.029023
vs Llama 4 Maverick (400B): ↑ 542.8%
vs Mistral Large 3: ↑ 2088.5%
#25

o3 Pro
OpenAI

$0.048046 (rounded ~ $0.05)
vs Llama 4 Maverick (400B): ↑ 964.1%
vs Mistral Large 3: ↑ 3523%
#26

GPT-5.2 Pro
OpenAI

$0.071448 (rounded ~ $0.07)
vs Llama 4 Maverick (400B): ↑ 1482.5%
vs Mistral Large 3: ↑ 5287.6%
#27

GPT-5.2 Pro
OpenAI

$0.071448 (rounded ~ $0.07)
vs Llama 4 Maverick (400B): ↑ 1482.5%
vs Mistral Large 3: ↑ 5287.6%
✨ 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.

Balancing Scale and Efficiency in Browser Agents

As game studios transition from experimental AI features to production-grade automation, the cost per interaction becomes the primary constraint. Scaling to 10,000 browser interactions monthly requires a strategic evaluation of your model stack to ensure that performance does not degrade as your volume grows. The comparison between Llama 4 Maverick and Mistral Large 3 highlights the tension between maximizing raw capability and optimizing for cost-efficient throughput.

Llama 4 Maverick (400B) brings a massive capability profile to the table, suitable for sophisticated browser tasks that require nuanced understanding of diverse web content. For teams managing complex automation where accuracy is non-negotiable but budget is a factor, Maverick provides an excellent balance. It handles multi-step tool calls with a high degree of precision, making it a reliable workhorse for routine, high-volume automation.

Mistral Large 3, conversely, is built for efficiency and latency-sensitive deployments. Its architecture is optimized for rapid tool calling and text processing, which is often the bottleneck in browser-based agents that must react to page loads in real-time. For pipelines where latency directly impacts the user experience—such as live-stream chat moderation or real-time web-based assistance—Mistral Large 3 often emerges as the more agile solution.

Choosing between these two depends on your team’s priorities: opt for Llama 4 Maverick if your agents require deeper reasoning for complex page navigation, or select Mistral Large 3 if your goal is minimizing latency and maintaining high throughput across your browser automation fleet.

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 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.