Monthly Budget: Customer Support Chatbot at 1,000 Conversations (10K Tokens/Conv)

Complete Analysis: 10,000 tokens for Llama 4 Maverick (400B)
⚡ 80% Cached

Complete analysis of pricing, performance, and use cases for Meta AI's Llama 4 Maverick (400B) model with 80% Cached.

⚡ Caching Optimized (up to 0% savings)
$0.002400 Total Cost
10,000 Total Tokens
26.93 seconds Processing Time
374 Effective Tokens/Sec

Click Recalculate to update after making changes

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)
80%
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

$0.002400 Total Cost
$0.001200 Input Cost
$0.001200 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
10,000Total Tokens
$0.000240Cost per 1K
4,166,667Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

26.93s Processing Time
400 Tokens/Second
150ms Time to First Token
374 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

Llama 4 Maverick (400B) Meta AI 1000000

$0.002400
Total Cost
⚡ 80% Cached 🔧 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) $0.002400 Input: $0.001200
Output: $0.001200
Optimized Cost $0.002400 Input: $0.001200
Output: $0.001200
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 8,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.001200
  • Output Cost: $0.001200
  • Total Cost: $0.002400
  • Cost per 1K tokens: $0.000240
  • Tokens per dollar: 4,166,667 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: 26.93 seconds
  • Latency: 150 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Best for founders seeking a cost-effectiveopen-weight model with a large context window for scalablemulti-turn customer support dialogues.

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 →

✨ Market Recommendations AI Model Registry

← Back to Llama 4 Maverick (400B)
📋 Active Input Parameters
Input Tokens: 8,000
Output Tokens: 2,000
Cached Tokens: 80%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Llama 4 Maverick (400B)
🏆 Mistral Small 3
Mistral AI
 $0.000824 Best Value ↓ 65.7% cheaper
🥈 Grok Code Fast 1
xAI
 $0.003448 ↑ 43.7% more
🥉 Gemini 3.1 Flash Lite
Google
 $0.003560 ↑ 48.3% more
#4 Mistral Large 3
Mistral AI
 $0.004120 ↑ 71.7% more
#5 Gemini 2.5 Flash
Google
 $0.005672 (rounded ~ $0.01) ↑ 136.3% more
#6 Gemini 3.1 Flash
Google
 $0.007120 (rounded ~ $0.01) ↑ 196.7% more
#7 Kimi K2.5
Moonshot AI
 $0.007613 (rounded ~ $0.01) ↑ 217.2% more
#8 Grok 4.3
xAI
 $0.007800 (rounded ~ $0.01) ↑ 225% more
#9 o4-mini Deep Research
OpenAI
 $0.010240 ↑ 326.7% more
#10 Kimi K2.6
Moonshot AI
 $0.010554 ↑ 339.7% more
#11 GPT-5.4 mini
OpenAI
 $0.010680 ↑ 345% more
#12 o4-mini
OpenAI
 $0.011264 (rounded ~ $0.01) ↑ 369.3% more
#13 Claude Haiku 4.5
Anthropic
 $0.012240 (rounded ~ $0.01) ↑ 410% more
#14 Grok 4.20 Beta
xAI
 $0.016480 (rounded ~ $0.02) ↑ 586.7% more
#15 Gemini 3.5 Flash
Google
 $0.021360 (rounded ~ $0.02) ↑ 790% more
#16 Gemini 2.5 Pro
Google
 $0.022800 (rounded ~ $0.02) ↑ 850% more
#17 Gemini 3.1 Pro
Google
 $0.028480 (rounded ~ $0.03) ↑ 1086.7% more
#18 GPT-5.3 Codex Spark
OpenAI
 $0.031920 (rounded ~ $0.03) ↑ 1230% more
#19 GPT-5.3 Instant
OpenAI
 $0.031920 (rounded ~ $0.03) ↑ 1230% more
#20 GPT-5.4
OpenAI
 $0.035600 (rounded ~ $0.04) ↑ 1383.3% more
#21 GPT-5.4 Thinking
OpenAI
 $0.035600 (rounded ~ $0.04) ↑ 1383.3% more
#22 Claude Sonnet 4.6
Anthropic
 $0.036720 (rounded ~ $0.04) ↑ 1430% more
#23 Claude Opus 4.7
Anthropic
 $0.061200 (rounded ~ $0.06) ↑ 2450% more
#24 Claude Opus 4.8
Anthropic
 $0.061200 (rounded ~ $0.06) ↑ 2450% more
#25 Claude Opus 4.6
Anthropic
 $0.061200 (rounded ~ $0.06) ↑ 2450% more
#26 GPT-5.5
OpenAI
 $0.071200 (rounded ~ $0.07) ↑ 2866.7% more
#27 GPT-5.5 Instant
OpenAI
 $0.071200 (rounded ~ $0.07) ↑ 2866.7% more
#28 o3 Deep Research
OpenAI
 $0.102400 (rounded ~ $0.10) ↑ 4166.7% more
#29 o3 Pro
OpenAI
 $0.204800 (rounded ~ $0.20) ↑ 8433.3% more
#30 GPT-5.2 Pro
OpenAI
 $0.383040 (rounded ~ $0.38) ↑ 15860% more
#31 GPT-5.2 Pro
OpenAI
 $0.383040 (rounded ~ $0.38) ↑ 15860% more
🏆

Mistral Small 3
Mistral AI

$0.000824
vs Llama 4 Maverick (400B): ↓ 65.7%
🥈

Grok Code Fast 1
xAI

$0.003448
vs Llama 4 Maverick (400B): ↑ 43.7%
🥉

Gemini 3.1 Flash Lite
Google

$0.003560
vs Llama 4 Maverick (400B): ↑ 48.3%
#4

Mistral Large 3
Mistral AI

$0.004120
vs Llama 4 Maverick (400B): ↑ 71.7%
#5

Gemini 2.5 Flash
Google

$0.005672 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 136.3%
#6

Gemini 3.1 Flash
Google

$0.007120 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 196.7%
#7

Kimi K2.5
Moonshot AI

$0.007613 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 217.2%
#8

Grok 4.3
xAI

$0.007800 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 225%
#9

o4-mini Deep Research
OpenAI

$0.010240
vs Llama 4 Maverick (400B): ↑ 326.7%
#10

Kimi K2.6
Moonshot AI

$0.010554
vs Llama 4 Maverick (400B): ↑ 339.7%
#11

GPT-5.4 mini
OpenAI

$0.010680
vs Llama 4 Maverick (400B): ↑ 345%
#12

o4-mini
OpenAI

$0.011264 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 369.3%
#13

Claude Haiku 4.5
Anthropic

$0.012240 (rounded ~ $0.01)
vs Llama 4 Maverick (400B): ↑ 410%
#14

Grok 4.20 Beta
xAI

$0.016480 (rounded ~ $0.02)
vs Llama 4 Maverick (400B): ↑ 586.7%
#15

Gemini 3.5 Flash
Google

$0.021360 (rounded ~ $0.02)
vs Llama 4 Maverick (400B): ↑ 790%
#16

Gemini 2.5 Pro
Google

$0.022800 (rounded ~ $0.02)
vs Llama 4 Maverick (400B): ↑ 850%
#17

Gemini 3.1 Pro
Google

$0.028480 (rounded ~ $0.03)
vs Llama 4 Maverick (400B): ↑ 1086.7%
#18

GPT-5.3 Codex Spark
OpenAI

$0.031920 (rounded ~ $0.03)
vs Llama 4 Maverick (400B): ↑ 1230%
#19

GPT-5.3 Instant
OpenAI

$0.031920 (rounded ~ $0.03)
vs Llama 4 Maverick (400B): ↑ 1230%
#20

GPT-5.4
OpenAI

$0.035600 (rounded ~ $0.04)
vs Llama 4 Maverick (400B): ↑ 1383.3%
#21

GPT-5.4 Thinking
OpenAI

$0.035600 (rounded ~ $0.04)
vs Llama 4 Maverick (400B): ↑ 1383.3%
#22

Claude Sonnet 4.6
Anthropic

$0.036720 (rounded ~ $0.04)
vs Llama 4 Maverick (400B): ↑ 1430%
#23

Claude Opus 4.7
Anthropic

$0.061200 (rounded ~ $0.06)
vs Llama 4 Maverick (400B): ↑ 2450%
#24

Claude Opus 4.8
Anthropic

$0.061200 (rounded ~ $0.06)
vs Llama 4 Maverick (400B): ↑ 2450%
#25

Claude Opus 4.6
Anthropic

$0.061200 (rounded ~ $0.06)
vs Llama 4 Maverick (400B): ↑ 2450%
#26

GPT-5.5
OpenAI

$0.071200 (rounded ~ $0.07)
vs Llama 4 Maverick (400B): ↑ 2866.7%
#27

GPT-5.5 Instant
OpenAI

$0.071200 (rounded ~ $0.07)
vs Llama 4 Maverick (400B): ↑ 2866.7%
#28

o3 Deep Research
OpenAI

$0.102400 (rounded ~ $0.10)
vs Llama 4 Maverick (400B): ↑ 4166.7%
#29

o3 Pro
OpenAI

$0.204800 (rounded ~ $0.20)
vs Llama 4 Maverick (400B): ↑ 8433.3%
#30

GPT-5.2 Pro
OpenAI

$0.383040 (rounded ~ $0.38)
vs Llama 4 Maverick (400B): ↑ 15860%
#31

GPT-5.2 Pro
OpenAI

$0.383040 (rounded ~ $0.38)
vs Llama 4 Maverick (400B): ↑ 15860%
✨ 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 AI Spend for Growing SaaS

For a growing SaaS product, managing operational costs is crucial, especially when integrating AI for customer support. Leveraging open-weight models like Llama 4 Maverick can offer significant advantages for founders prioritizing value and flexibility.

Llama 4 Maverick, with its substantial context window, is well-suited for multi-turn customer support conversations where retaining a detailed history is beneficial for providing accurate assistance. Its open-nature allows for deeper customization and avoids vendor lock-in, which can be a strategic win for early-stage companies.

This model provides a strong balance between performance and cost-effectiveness, making it a prime candidate for building an MVP that can scale. Founders can expect robust conversational abilities that handle complex queries and maintain context over extended dialogues, all while benefiting from a potentially lower total cost of ownership compared to proprietary models at similar performance tiers.

When planning your AI budget, models like Llama 4 Maverick enable you to deliver high-quality customer experiences without the premium price tag, allowing resources to be allocated to other critical areas of product development.

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.