Per-RequestCost:200K-TokenReasoningPipelineswithGPT-5.4Thinking

Complete Analysis: 201,000 tokens for GPT-5.4 Thinking
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.4 Thinking model with 50% Cached.

⚡ Caching Optimized (up to 90% savings)
$0.290000 Total Cost
201,000 Total Tokens
8 minutes, 57.86 seconds Processing Time
374 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

GPT-5.4 Thinking
OpenAIMax Context: 1,024,000 tokens
$2.5 / $15 per 1M tokens (Standard)
State-dependent pricing active. Current tier: Standard
▼
▼
Use Batch API (50% discount)
50%
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

$0.290000 Total Cost
$0.250000 Input Cost
$0.015000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
201,000Total Tokens
$0.001443Cost per 1K
693,103Tokens per $
🔄 Cliff Pricing Active: Using Standard pricing (standard) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

8m 57s Processing Time
400 Tokens/Second
220ms 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

GPT-5.4 Thinking OpenAI 1024000

$0.290000
Total Cost
⚡ 50% 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) $0.515000 (rounded ~ $0.52) Input: $0.500000
Output: $0.015000 (rounded ~ $0.02)
Optimized Cost $0.290000 Input: $0.500000
Output: $0.015000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.225000 (rounded ~ $0.23) 43.7% discount

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.500000
  • Output Cost: $0.015000 (rounded ~ $0.02)
  • Total Cost: $0.290000
  • Cost per 1K tokens: $0.001443
  • Tokens per dollar: 693,103 tokens
  • Context Window: 1024000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 220ms time to first token:

  • Processing Time: 8 minutes, 57.86 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Orchestrating multi-agent voice workflows where high-quality reasoning and recovery from interruption are required.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.4 Thinking
📋 Active Input Parameters
Input Tokens: 200,000
Output Tokens: 1,000
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.4 Thinking
🏆 Grok Code Fast 1
xAI
 $0.023500 (rounded ~ $0.02) Best Value ↓ 91.9% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.029000 ↓ 90% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.035500 (rounded ~ $0.04) ↓ 87.8% cheaper
#4 Mistral Large 3
Mistral AI
 $0.056500 (rounded ~ $0.06) ↓ 80.5% cheaper
#5 Kimi K2.5
Moonshot AI
 $0.073200 (rounded ~ $0.07) ↓ 74.8% cheaper
#6 GPT-5.4 mini
OpenAI
 $0.087000 (rounded ~ $0.09) ↓ 70% cheaper
#7 Claude Haiku 4.5
Anthropic
 $0.115000 (rounded ~ $0.12) ↓ 60.3% cheaper
#8 Kimi K2.6
Moonshot AI
 $0.115150 (rounded ~ $0.12) ↓ 60.3% cheaper
#9 Gemini 3.1 Flash
Google
 $0.116000 (rounded ~ $0.12) ↓ 60% cheaper
#10 Grok 4.3
xAI
 $0.140000 ↓ 51.7% cheaper
#11 Gemini 3.5 Flash
Google
 $0.174000 (rounded ~ $0.17) ↓ 40% cheaper
#12 Grok 4.20 Beta
xAI
 $0.226000 (rounded ~ $0.23) ↓ 22.1% cheaper
#13 GPT-5.4
OpenAI
 $0.290000 Same price
#14 Gemini 2.5 Pro
Google
 $0.290000 Same price
#15 Claude Sonnet 4.6
Anthropic
 $0.345000 (rounded ~ $0.35) ↑ 19% more
#16 Gemini 3.1 Pro
Google
 $0.458000 (rounded ~ $0.46) ↑ 57.9% more
#17 Claude Opus 4.7
Anthropic
 $0.575000 (rounded ~ $0.58) ↑ 98.3% more
#18 Claude Opus 4.8
Anthropic
 $0.575000 (rounded ~ $0.58) ↑ 98.3% more
#19 Claude Opus 4.6
Anthropic
 $0.575000 (rounded ~ $0.58) ↑ 98.3% more
#20 GPT-5.5 Instant
OpenAI
 $0.580000 ↑ 100% more
#21 GPT-5.5
OpenAI
 $1.145000 (rounded ~ $1.15) ↑ 294.8% more
#22 GPT-5.5
OpenAI
 $1.145000 (rounded ~ $1.15) ↑ 294.8% more
🏆

Grok Code Fast 1
xAI

$0.023500 (rounded ~ $0.02)
vs GPT-5.4 Thinking: ↓ 91.9%
🥈

Gemini 3.1 Flash Lite
Google

$0.029000
vs GPT-5.4 Thinking: ↓ 90%
🥉

Gemini 2.5 Flash
Google

$0.035500 (rounded ~ $0.04)
vs GPT-5.4 Thinking: ↓ 87.8%
#4

Mistral Large 3
Mistral AI

$0.056500 (rounded ~ $0.06)
vs GPT-5.4 Thinking: ↓ 80.5%
#5

Kimi K2.5
Moonshot AI

$0.073200 (rounded ~ $0.07)
vs GPT-5.4 Thinking: ↓ 74.8%
#6

GPT-5.4 mini
OpenAI

$0.087000 (rounded ~ $0.09)
vs GPT-5.4 Thinking: ↓ 70%
#7

Claude Haiku 4.5
Anthropic

$0.115000 (rounded ~ $0.12)
vs GPT-5.4 Thinking: ↓ 60.3%
#8

Kimi K2.6
Moonshot AI

$0.115150 (rounded ~ $0.12)
vs GPT-5.4 Thinking: ↓ 60.3%
#9

Gemini 3.1 Flash
Google

$0.116000 (rounded ~ $0.12)
vs GPT-5.4 Thinking: ↓ 60%
#10

Grok 4.3
xAI

$0.140000
vs GPT-5.4 Thinking: ↓ 51.7%
#11

Gemini 3.5 Flash
Google

$0.174000 (rounded ~ $0.17)
vs GPT-5.4 Thinking: ↓ 40%
#12

Grok 4.20 Beta
xAI

$0.226000 (rounded ~ $0.23)
vs GPT-5.4 Thinking: ↓ 22.1%
#13

GPT-5.4
OpenAI

$0.290000
vs GPT-5.4 Thinking: Same
#14

Gemini 2.5 Pro
Google

$0.290000
vs GPT-5.4 Thinking: Same
#15

Claude Sonnet 4.6
Anthropic

$0.345000 (rounded ~ $0.35)
vs GPT-5.4 Thinking: ↑ 19%
#16

Gemini 3.1 Pro
Google

$0.458000 (rounded ~ $0.46)
vs GPT-5.4 Thinking: ↑ 57.9%
#17

Claude Opus 4.7
Anthropic

$0.575000 (rounded ~ $0.58)
vs GPT-5.4 Thinking: ↑ 98.3%
#18

Claude Opus 4.8
Anthropic

$0.575000 (rounded ~ $0.58)
vs GPT-5.4 Thinking: ↑ 98.3%
#19

Claude Opus 4.6
Anthropic

$0.575000 (rounded ~ $0.58)
vs GPT-5.4 Thinking: ↑ 98.3%
#20

GPT-5.5 Instant
OpenAI

$0.580000
vs GPT-5.4 Thinking: ↑ 100%
#21

GPT-5.5
OpenAI

$1.145000 (rounded ~ $1.15)
vs GPT-5.4 Thinking: ↑ 294.8%
#22

GPT-5.5
OpenAI

$1.145000 (rounded ~ $1.15)
vs GPT-5.4 Thinking: ↑ 294.8%
✨ 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.

VoiceAIengineersbuildingmulti-agentorchestratorsfaceadifficulttrade-offbetweenreasoningdepthandsystemlatency[1.1]. When managing 200,000 tokens per request for complex workflows, selecting a model with strong native reasoning is critical. GPT-5.4 Thinking excels here by providing deterministic, high-quality logic that reduces the need for expensive, multi-step error correction. This model is particularly effective for the orchestrator role, which must parse user intent, manage state, and delegate sub-tasks without breaking the flow of a sub-second voice interaction. Unlike generic text models, this variant is designed to handle the unpredictable nature of voice conversations—including interruptions and mid-sentence corrections—by maintaining a consistent execution context. By centralizing complex reasoning in the orchestrator, engineers can keep worker agents lightweight and faster, optimizing the overall pipeline. While reasoning models incur higher per-unit costs, the reduction in failed turns and agent-handoff errors often results in lower total cost-of-ownership for high-volume deployments. For teams prioritizing reliable orchestration over raw throughput speed, this model provides the necessary guardrails to maintain conversation integrity. It is best suited for the main decision-making layer of an agentic voice system where error recovery is prohibitively expensive.

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.