Claude Haiku 3.5 vs Gemini 2.5 Flash Speed Test

claude-haiku-3.5 vs gemini-2.5-flash
Complete Comparison: 20,000 input tokens × 10,000 output tokens
Comparison Mode (Custom field comparison)

Complete comparison of pricing, performance, and capabilities for 2 leading AI models .

Comparison Criteria claude-haiku-3.5
Anthropic
gemini-2.5-flash
Google
Input Parameters Applied
Input Tokens 20,000 20,000
Output Tokens 10,000 10,000
Calculation Results
Input Cost $0.100000 Worst $0.040000 Best
Output Cost $0.250000 Worst $0.120000 Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.350000 Most Expensive $0.160000 Best Value
Processing Time 1 minute, 1.00 second 1 minute, 1.00 second
Tokens per Second 500 500
Time to First Token 200ms 200ms
Cost per 1K tokens $0.011667 (rounded ~ 0.01) Worst $0.005333 (rounded ~ 0.01) Best
Tokens per Dollar 85,714 Worst Value 187,500 Best Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $5.000000 Worst $2.000000 Best
Output Cost / 1M (Base) $25.000000 Worst $12.000000 Best
Input Cost / 1M (Optimized) $5.000000 Worst
Optimizations: No optimizations applied
$2.000000 Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $25.000000 Worst
Optimizations: No optimizations applied
$12.000000 Best
Optimizations: No optimizations applied
Capabilities
Caching Support ✗ Not Supported ✗ Not Supported
Batch API Support ✗ Not Supported ✗ Not Supported
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
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🔄 Compare Different AI Models

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First Model

2

Second Model

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All other parameters will be preserved from the current comparison.

Select AI Model

Claude Haiku 3.5
AnthropicMax Context: 1,000,000 tokens
Input: $5.000000 / 1M
Output: $25.000000 / 1M

Calculate Token Costs

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▼
Provider-specific multipliers applied after all calculations
Enable for Haiku 4.5 hard cap bypass
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Multiply total cost by quantity for project budgeting
$0.350000Total Cost
$0.100000Input Cost
$0.250000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
30,000Total Tokens
$0.011667Cost per 1K
85,714Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
1m 1sProcessing Time
500Tokens/Second
200msTime to First Token
485Effective Speed

Model Comparison

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Model Information

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🔄 Advanced Options

⚡ Optimization
0%
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data (Pro: $4.50/1M/hr, Flash: $1.00/1M/hr)
First 50 hours free, $0.05/hour after (reset at 00:00 UTC)
🧠 Specialized Modes
Enable Thinking Mode (Google models)
Manual thinking tokens (billed at output rate, disabled by default)
Adaptive thinking token estimation for DeepSeek models
30% output surcharge (Vertex AI priority)
Billed at output rate × reasoning multiplier
Global 2x multiplier for priority processing
Enable Reasoning/Thinking Mode (DeepSeek R1, Grok Deep Reason)
Enable Agentic Swarm
🔧 Automated Service Fees
Enable for DeepSeek V4 ($0.01 per 1M tokens)
Enable code execution (adds $0.05 flat fee)
$0.01 per query (auto-applied based on Search Queries input)
🤖 xAI Agent Tools (Unified $5.00/1k)
Real-time X data access calls
Standard internet search calls
Python sandbox execution calls (overrides flat fee if set)
📚 xAI RAG Tools (Unified $2.50/1k)
File search tool access
Collections/RAG knowledge base access - aggregated with File Search at $2.50/1k
ℹ️ Updated xAI Tool Pricing: Agent tools (web, X, code) at $5.00/1k calls. RAG tools (collections, file) at $2.50/1k calls. Integer code_execution_calls overrides boolean.
🎤 Realtime Audio & Deep Research
Enable Deep Research ($2.00/$8.00 rates)
Session length for billing ($0.01 per minute, rounded up)
Active speech time within session
📄 Mistral AI - Unit-Based Options
Number of pages to process with OCR (tiered pricing auto-applied)
Enable HTML table reconstruction surcharge
Duration-based audio processing (not token-based)
Enable speaker diarization (Voxtral models only)
Enable context biasing (Voxtral models only)
🔬 Research & Citation
Enable research tier pricing ($2.00/$8.00 + $0.005/query)
Enable reasoning with 1,000 token floor ($0.015 min)
Fee per source cited when research mode is enabled
⚙️ Performance Tuning
Low = Fast
High = Creative
📊 Advanced Cost Breakdown
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

claude-haiku-3.5 Anthropic 1000000

$0.350000
Total Cost
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.350000 Input: $0.100000
Output: $0.250000
Optimized Cost $0.350000 Input: $0.100000
Output: $0.250000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis

For 20,000 input tokens and 10,000 output tokens:

  • Input Cost: $0.100000
  • Output Cost: $0.250000
  • Total Cost: $0.350000
  • Cost per 1K tokens: $0.011667 (rounded ~ 0.01)
  • Tokens per dollar: 85,714 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 200ms time to first token:

  • Processing Time: 1 minute, 1.00 second
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 485 tokens/second (temperature-adjusted)

Best Use Cases

High-volume processingChat applicationsAPIs

gemini-2.5-flash Google 2000000

$0.160000
Total Cost
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $0.160000 Input: $0.040000
Output: $0.120000
Optimized Cost $0.160000 Input: $0.040000
Output: $0.120000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis

For 20,000 input tokens and 10,000 output tokens:

  • Input Cost: $0.040000
  • Output Cost: $0.120000
  • Total Cost: $0.160000
  • Cost per 1K tokens: $0.005333 (rounded ~ 0.01)
  • Tokens per dollar: 187,500 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 200ms time to first token:

  • Processing Time: 1 minute, 1.00 second
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 485 tokens/second (temperature-adjusted)

Best Use Cases

High-volume processingChat applicationsAPIs

Fastest AI Models: Speed & Cost Efficiency

Compare the speed-optimized models from Anthropic and Google. Analysis includes tokens per second, latency, and cost-per-request for high-volume applications.

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.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 44+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), and provides optimization recommendations.