Fine-tuning cost comparison: GPT-5 Mini vs Claude Haiku

gpt-5-mini vs claude-haiku-3.5
Complete Comparison: 100,000 input tokens × 1,000 output tokens
Comparison Mode (Custom field comparison)
🔧 Training Mode

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

🔧 Training Mode
Comparison Criteria gpt-5-mini
OpenAI
claude-haiku-3.5
Anthropic
Input Parameters Applied
🔧 Fine-Tuning Mode: Primary model is in training mode. Output costs may vary for comparison models.
Input Tokens 100,000 100,000
Output Tokens 1,000 Training ($0) 1,000 Training ($0)
Calculation Results
Input Cost $0.500000 $0.500000
Output Cost $0.000000 Training $0.000000 Training
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.525000 (rounded ~ 0.53) $0.525000 (rounded ~ 0.53)
Processing Time 3 minutes, 26.00 seconds 3 minutes, 26.00 seconds
Tokens per Second 500 500
Time to First Token 200ms 200ms
Cost per 1K tokens $0.005198 (rounded ~ 0.01) $0.005198 (rounded ~ 0.01)
Tokens per Dollar 192,381 192,381
Cost per 1 Million Tokens
Input Cost / 1M (Base) $5.000000 $5.000000
Output Cost / 1M (Base) $0.000000 Training $0.000000 Training
Input Cost / 1M (Optimized) $5.000000
Optimizations: No optimizations applied
$5.000000
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $0.000000 Training $0.000000 Training
Capabilities
Caching Support ✗ Not Supported ✗ Not Supported
Batch API Support ✗ Not Supported ✗ Not Supported
Fine-Tuning Mode Training Training
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

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All other parameters will be preserved from the current comparison.

Select AI Model

Gpt 5 Mini
OpenAIMax Context: 400,000 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
$0.525000Total Cost
$0.500000Input Cost
$0.025000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
101,000Total Tokens
$0.005198Cost per 1K
192,381Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
3m 26sProcessing Time
500Tokens/Second
200msTime to First Token
490Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 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.

gpt-5-mini OpenAI

$0.525000 (rounded ~ 0.53)
Total Cost
🔧 Fine-Tuning Mode Active: Model is in Training mode. Output cost is $0.00 for model training.
📊 Batch API
👁️
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 Training Mode

Base Cost (No Optimizations) $0.525000 (rounded ~ 0.53) Input: $0.500000
Output: $0.025000 (rounded ~ 0.03)
Training Cost $0.525000 (rounded ~ 0.53) Input: $0.500000
Output: $0.025000 (rounded ~ 0.03)
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis

For 100,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.500000
  • Output Cost: $0.025000 (rounded ~ 0.03) (Training mode: $0)
  • Total Cost: $0.525000 (rounded ~ 0.53)
  • Cost per 1K tokens: $0.005198 (rounded ~ 0.01)
  • Tokens per dollar: 192,381 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

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

  • Processing Time: 3 minutes, 26.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 490 tokens/second (temperature-adjusted)

Best Use Cases

Custom model trainingDomain-specific AI

claude-haiku-3.5 Anthropic 1000000

$0.525000 (rounded ~ 0.53)
Total Cost
🔧 Fine-Tuning Mode Active: Model is in Training mode. Output cost is $0.00 for model training.
📊 Batch API
👁️
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 Training Mode

Base Cost (No Optimizations) $0.525000 (rounded ~ 0.53) Input: $0.500000
Output: $0.025000 (rounded ~ 0.03)
Training Cost $0.525000 (rounded ~ 0.53) Input: $0.500000
Output: $0.025000 (rounded ~ 0.03)
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis

For 100,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.500000
  • Output Cost: $0.025000 (rounded ~ 0.03) (Training mode: $0)
  • Total Cost: $0.525000 (rounded ~ 0.53)
  • Cost per 1K tokens: $0.005198 (rounded ~ 0.01)
  • Tokens per dollar: 192,381 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: 3 minutes, 26.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 490 tokens/second (temperature-adjusted)

Best Use Cases

Custom model trainingDomain-specific AI

Model Training Cost Analysis 2026

Comparing fine-tuning costs for custom model development. Training mode pricing with different optimization approaches.

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.
How does fine-tuning mode affect AI model costs?
Fine-tuning has two modes: Training (output costs are $0, only input costs apply for model creation) and Fine-Tuned Inference (1.5× base cost for specialized model usage).
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.