o3 Pro Reasoning Cost for 50K-Token Agentic Browser Tasks

Complete Analysis: 64,400 tokens for o3 Pro
🖼️ 25 Images ⚡ 30% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's o3 Pro model with 25 Images, 30% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings)
$1.038340 (rounded ~ $1.04) Total Cost
64,400 Total Tokens
3 minutes, 9.70 seconds Processing Time
340 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

o3 Pro
OpenAIMax Context: 200,000 tokens
$20 / $80 per 1M tokens
▼
▼
Use Batch API (50% discount)
30%
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.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$1.038340 Total Cost
$0.880600 Input Cost
$0.120000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
64,400Total Tokens
$0.016123Cost per 1K
62,022Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 9s Processing Time
350 Tokens/Second
300ms Time to First Token
340 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

o3 Pro OpenAI

$1.038340 (rounded ~ $1.04)
Total Cost
🖼️ 25 Image (Medium) ⚡ 30% 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) $1.378000 (rounded ~ $1.38) Input: $1.258000 (rounded ~ $1.26)
Output: $0.120000
Optimized Cost $1.038340 (rounded ~ $1.04) Input: $1.258000 (rounded ~ $1.26)
Output: $0.120000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.339660 24.6% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
12,900 tokens

Multimodal Input Details

🖼️ Images
Count: 25
Resolution: Medium
Tokens: 12,900
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 1,500 output tokens:

  • Input Cost: $1.258000 (rounded ~ $1.26)
  • Output Cost: $0.120000
  • Total Cost: $1.038340 (rounded ~ $1.04)
  • Cost per 1K tokens: $0.016123 (rounded ~ $0.02)
  • Tokens per dollar: 62,022 tokens
  • Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 350 tokens per second and 300ms time to first token:

  • Processing Time: 3 minutes, 9.70 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 340 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-stakes agentic tasks requiring deep reasoning and error-resilient tool usage.

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✨ Market Recommendations AI Model Registry

← Back to o3 Pro
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 1,500
Cached Tokens: 30%
Images: 25 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs o3 Pro
🏆 Mistral Small 3
Mistral AI
 $0.005042 (rounded ~ $0.01) Best Value ↓ 99.5% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.013729 (rounded ~ $0.01) ↓ 98.7% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.017525 (rounded ~ $0.02) ↓ 98.3% cheaper
#4 Mistral Large 3
Mistral AI
 $0.026209 (rounded ~ $0.03) ↓ 97.5% cheaper
#5 Gemini 3.1 Flash
Google
 $0.027459 (rounded ~ $0.03) ↓ 97.4% cheaper
#6 Kimi K2.5
Moonshot AI
 $0.032843 (rounded ~ $0.03) ↓ 96.8% cheaper
#7 GPT-5.4 mini
OpenAI
 $0.041188 (rounded ~ $0.04) ↓ 96% cheaper
#8 Kimi K2.6
Moonshot AI
 $0.050876 ↓ 95.1% cheaper
#9 o4-mini Deep Research
OpenAI
 $0.051917 (rounded ~ $0.05) ↓ 95% cheaper
#10 Claude Haiku 4.5
Anthropic
 $0.053417 (rounded ~ $0.05) ↓ 94.9% cheaper
#11 o4-mini
OpenAI
 $0.057109 (rounded ~ $0.06) ↓ 94.5% cheaper
#12 Grok 4.3
xAI
 $0.061146 (rounded ~ $0.06) ↓ 94.1% cheaper
#13 Gemini 2.5 Pro
Google
 $0.072396 (rounded ~ $0.07) ↓ 93% cheaper
#14 Gemini 3.5 Flash
Google
 $0.082376 (rounded ~ $0.08) ↓ 92.1% cheaper
#15 GPT-5.3 Codex Spark
OpenAI
 $0.101355 (rounded ~ $0.10) ↓ 90.2% cheaper
#16 GPT-5.3 Instant
OpenAI
 $0.101355 (rounded ~ $0.10) ↓ 90.2% cheaper
#17 Gemini 3.1 Pro
Google
 $0.109834 ↓ 89.4% cheaper
#18 GPT-5.4
OpenAI
 $0.137293 (rounded ~ $0.14) ↓ 86.8% cheaper
#19 GPT-5.4 Thinking
OpenAI
 $0.137293 (rounded ~ $0.14) ↓ 86.8% cheaper
#20 Claude Sonnet 4.6
Anthropic
 $0.160251 ↓ 84.6% cheaper
#21 Claude Opus 4.7
Anthropic
 $0.267085 (rounded ~ $0.27) ↓ 74.3% cheaper
#22 Claude Opus 4.8
Anthropic
 $0.267085 (rounded ~ $0.27) ↓ 74.3% cheaper
#23 Claude Opus 4.6
Anthropic
 $0.267085 (rounded ~ $0.27) ↓ 74.3% cheaper
#24 GPT-5.5
OpenAI
 $0.274585 (rounded ~ $0.27) ↓ 73.6% cheaper
#25 GPT-5.5 Instant
OpenAI
 $0.274585 (rounded ~ $0.27) ↓ 73.6% cheaper
#26 o3 Deep Research
OpenAI
 $0.519170 ↓ 50% cheaper
#27 GPT-5.2 Pro
OpenAI
 $1.216257 (rounded ~ $1.22) ↑ 17.1% more
#28 GPT-5.2 Pro
OpenAI
 $1.216257 (rounded ~ $1.22) ↑ 17.1% more
🏆

Mistral Small 3
Mistral AI

$0.005042 (rounded ~ $0.01)
vs o3 Pro: ↓ 99.5%
🥈

Gemini 3.1 Flash Lite
Google

$0.013729 (rounded ~ $0.01)
vs o3 Pro: ↓ 98.7%
🥉

Gemini 2.5 Flash
Google

$0.017525 (rounded ~ $0.02)
vs o3 Pro: ↓ 98.3%
#4

Mistral Large 3
Mistral AI

$0.026209 (rounded ~ $0.03)
vs o3 Pro: ↓ 97.5%
#5

Gemini 3.1 Flash
Google

$0.027459 (rounded ~ $0.03)
vs o3 Pro: ↓ 97.4%
#6

Kimi K2.5
Moonshot AI

$0.032843 (rounded ~ $0.03)
vs o3 Pro: ↓ 96.8%
#7

GPT-5.4 mini
OpenAI

$0.041188 (rounded ~ $0.04)
vs o3 Pro: ↓ 96%
#8

Kimi K2.6
Moonshot AI

$0.050876
vs o3 Pro: ↓ 95.1%
#9

o4-mini Deep Research
OpenAI

$0.051917 (rounded ~ $0.05)
vs o3 Pro: ↓ 95%
#10

Claude Haiku 4.5
Anthropic

$0.053417 (rounded ~ $0.05)
vs o3 Pro: ↓ 94.9%
#11

o4-mini
OpenAI

$0.057109 (rounded ~ $0.06)
vs o3 Pro: ↓ 94.5%
#12

Grok 4.3
xAI

$0.061146 (rounded ~ $0.06)
vs o3 Pro: ↓ 94.1%
#13

Gemini 2.5 Pro
Google

$0.072396 (rounded ~ $0.07)
vs o3 Pro: ↓ 93%
#14

Gemini 3.5 Flash
Google

$0.082376 (rounded ~ $0.08)
vs o3 Pro: ↓ 92.1%
#15

GPT-5.3 Codex Spark
OpenAI

$0.101355 (rounded ~ $0.10)
vs o3 Pro: ↓ 90.2%
#16

GPT-5.3 Instant
OpenAI

$0.101355 (rounded ~ $0.10)
vs o3 Pro: ↓ 90.2%
#17

Gemini 3.1 Pro
Google

$0.109834
vs o3 Pro: ↓ 89.4%
#18

GPT-5.4
OpenAI

$0.137293 (rounded ~ $0.14)
vs o3 Pro: ↓ 86.8%
#19

GPT-5.4 Thinking
OpenAI

$0.137293 (rounded ~ $0.14)
vs o3 Pro: ↓ 86.8%
#20

Claude Sonnet 4.6
Anthropic

$0.160251
vs o3 Pro: ↓ 84.6%
#21

Claude Opus 4.7
Anthropic

$0.267085 (rounded ~ $0.27)
vs o3 Pro: ↓ 74.3%
#22

Claude Opus 4.8
Anthropic

$0.267085 (rounded ~ $0.27)
vs o3 Pro: ↓ 74.3%
#23

Claude Opus 4.6
Anthropic

$0.267085 (rounded ~ $0.27)
vs o3 Pro: ↓ 74.3%
#24

GPT-5.5
OpenAI

$0.274585 (rounded ~ $0.27)
vs o3 Pro: ↓ 73.6%
#25

GPT-5.5 Instant
OpenAI

$0.274585 (rounded ~ $0.27)
vs o3 Pro: ↓ 73.6%
#26

o3 Deep Research
OpenAI

$0.519170
vs o3 Pro: ↓ 50%
#27

GPT-5.2 Pro
OpenAI

$1.216257 (rounded ~ $1.22)
vs o3 Pro: ↑ 17.1%
#28

GPT-5.2 Pro
OpenAI

$1.216257 (rounded ~ $1.22)
vs o3 Pro: ↑ 17.1%
✨ 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.

Leveraging Deep Reasoning for Complex Web Automation

Game studio AI leads are increasingly moving away from simple reactive agents toward systems that can ‘think’ before they click. When building agentic browser automation that involves 50K-token inputs, the challenge is rarely about throughput—it is about the quality of the decision-making process in response to web-based stimuli.

o3 Pro is engineered specifically for this use case. Unlike standard LLMs that might attempt immediate execution upon identifying a UI element, o3 Pro utilizes its deep reasoning capabilities to analyze the broader context of the browser session. This is critical for tasks like automated gameplay testing or complex account management workflows where a single incorrect tool call can break the entire sequence.

By investing in a model that prioritizes reasoning, your engineering team can reduce the overhead of implementing complex error-handling logic in the application layer. The model’s ability to self-correct during the reasoning phase allows for more graceful recovery from page load errors or unexpected UI changes. For studios managing large-scale autonomous pipelines, this leads to higher success rates per session, effectively offsetting the higher computational intensity required for deep thinking.

Consider this model when your browser automation cannot afford the risk of shallow execution. If your agents are performing high-value, multi-step actions that interact with sensitive or complex web services, the reasoning depth provided by o3 Pro offers a level of assurance that standard, fast-turnaround models struggle to match.

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 are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
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.