Monthly Budget: Customer Support Chatbot at 10,000 Conversations

Gemini 3.1 Flash vs Claude Haiku 4.6
Complete Comparison: 5,000,000 input tokens × 500 output tokens
Comparison Mode
⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 20% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria Gemini 3.1 Flash
Google
Claude Haiku 4.6
Anthropic
Calculation Results (Current Inputs) (20% cached)
Input Tokens 5,000,000 5,000,000
Output Tokens 500 500
Cost Breakdown
Input Cost $5.000000Worst $1.250000Best
Output Cost $0.003000Worst $0.000625Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $4.103000 (rounded ~ $4.10) Most Expensive $1.025625 (rounded ~ $1.03) Best Value
Processing Time 1 hour, 49 minutes, 23.34 seconds Slowest 1 hour, 42 minutes, 57.27 seconds Fastest
Tokens per Second 800Slowest 850Fastest
Time to First Token 100ms Worst 75ms Best
Cost per 1K tokens $0.000821Worst $0.000205Best
Tokens per Dollar 1,218,742Worst Value 4,875,564Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.000000Worst $0.250000Best
Output Cost / 1M (Base) $6.000000Worst $1.250000Best
Input Cost / 1M (Optimized) $1.000000Worst
Optimizations: No optimizations applied
$0.250000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $6.000000Worst
Optimizations: No optimizations applied
$1.250000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

Click Recalculate to update after making changes

ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Gemini 3.1 Flash
GoogleMax Context: 1,000,000 tokens
$0.5 / $3 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
▼
▼
Use Batch API (50% discount)
20%
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

$4.103000 Total Cost
$4.000000 Input Cost
$0.003000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
5,000,500Total Tokens
$0.000821Cost per 1K
1,218,742Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

109m 23s Processing Time
800 Tokens/Second
100ms Time to First Token
762 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.

Gemini 3.1 Flash Google 1000000

$4.103000 (rounded ~ $4.10)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 20% Cached 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $5.003000 (rounded ~ $5.00) Input: $5.000000
Output: $0.003000
Optimized Cost $4.103000 (rounded ~ $4.10) Input: $5.000000
Output: $0.003000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.900000 18.0% discount

Detailed Cost Analysis (from Plugin)

For 5,000,000 input tokens and 500 output tokens:

  • Input Cost: $5.000000
  • Output Cost: $0.003000
  • Total Cost: $4.103000 (rounded ~ $4.10)
  • Cost per 1K tokens: $0.000821
  • Tokens per dollar: 1,218,742 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 800 tokens per second and 100ms time to first token:

  • Processing Time: 1 hour, 49 minutes, 23.34 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 762 tokens/second (temperature-adjusted)

Best Use Cases

High-volume customer support chat where latency and low-cost token usage are the primary drivers for scale.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Flash. 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 →

Claude Haiku 4.6 Anthropic

$1.025625 (rounded ~ $1.03)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 200,000 tokens. Budgeting mode active.
⚡ 20% Cached 🔧 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) $1.250625 Input: $1.250000
Output: $0.000625
Optimized Cost $1.025625 (rounded ~ $1.03) Input: $1.250000
Output: $0.000625
Unit: $0.000000
Fees: $0.000000
Total Savings $0.225000 (rounded ~ $0.23) 18.0% discount

Detailed Cost Analysis (from Plugin)

For 5,000,000 input tokens and 500 output tokens:

  • Input Cost: $1.250000
  • Output Cost: $0.000625
  • Total Cost: $1.025625 (rounded ~ $1.03)
  • Cost per 1K tokens: $0.000205
  • Tokens per dollar: 4,875,564 tokens
  • Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 850 tokens per second and 75ms time to first token:

  • Processing Time: 1 hour, 42 minutes, 57.27 seconds
  • Latency: 75 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 810 tokens/second (temperature-adjusted)

Best Use Cases

High-volume customer support chat where latency and low-cost token usage are the primary drivers for scale.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Haiku 4.6. 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 Gemini 3.1 Flash
📋 Active Input Parameters
Input Tokens: 5,000,000
Output Tokens: 500
Cached Tokens: 20%
Tools: Enabled
🔍
No Alternatives Found
No other models in the registry support all your current input parameters. Try adjusting some parameters to see more options.
Remove Images Remove Video Remove Audio Remove OCR Remove Tools
✨ 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 scaling SaaS teams, the transition from basic rule-based deflection to intelligent, generative support agents is a critical milestone. At a volume of 10,000 conversations monthly, your choice of AI model directly influences both the quality of your customer experience and the technical stability of your support stack. Gemini 3.1 Flash and Claude Haiku 4.6 represent the current frontier for high-volume, low-latency applications.

Gemini 3.1 Flash excels in multimodal environments where your support agents need to process screenshots, logs, or attached documents in real-time. Its strength lies in its speed and extensive integration with Google’s broader ecosystem, making it a reliable choice for teams already utilizing Vertex AI for infrastructure. It is particularly effective for workflows requiring high throughput without the overhead of frontier-class reasoning models.

Conversely, Claude Haiku 4.6 is often the preferred choice for teams that prioritize instruction following, tone, and nuanced handling of edge cases. Anthropic’s model architecture is frequently cited for its ability to adhere strictly to system prompts and safety guidelines, which is vital when the AI handles sensitive user queries or complex account-specific instructions. While both models support large context windows, the decision often comes down to your specific technical requirements: choose Gemini for multimodal flexibility and ecosystem integration, or select Claude for superior instruction adherence and brand-safe interactions in customer-facing roles. Both models provide the latency profiles necessary to prevent the ‘typing’ delays that turn users away from live chat interfaces.

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.

Related model pricing

Gemini 3.1 Flash currently costs $0.50 / $3.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

Compare across providers

Other models from the same provider

See every tracked AI pricing change →