Gemini 3.1 Pro vs GPT-5.5 Pro for 10,000-Token Clinical Summaries

Gemini 3.1 Pro vs GPT-5.5 Pro
Complete Comparison: 10,000 input tokens × 1,500 output tokens
Comparison Mode
⚡ 25% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 25% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.1 Pro
Google
GPT-5.5 Pro
OpenAI
Calculation Results (Current Inputs) (25% cached)
Input Tokens 10,000 10,000
Output Tokens 1,500 1,500
Cost Breakdown
Input Cost $0.010000Best $0.075000 (rounded ~ $0.08)Worst
Output Cost $0.009000Best $0.067500 (rounded ~ $0.07)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.016750 (rounded ~ $0.02) Best Value $0.142500 (rounded ~ $0.14) Most Expensive
Processing Time 29.79 seconds Fastest 35.02 seconds Slowest
Tokens per Second 400Fastest 340Slowest
Time to First Token 220ms Best 260ms Worst
Cost per 1K tokens $0.001457Best $0.012391 (rounded ~ $0.01)Worst
Tokens per Dollar 686,567Best Value 80,702Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.000000Best $7.500000Worst
Output Cost / 1M (Base) $6.000000Best $45.000000Worst
Input Cost / 1M (Optimized) $0.500000Best
Optimizations: 50.0% batch
$3.750000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.000000Best
Optimizations: 50.0% batch
$22.500000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✓ Supported ✗ Not Supported
Audio Support ✓ Supported ✗ Not Supported
Caching Support
25
✓ Supported ✗ Not Supported requested
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Select AI Model

Gemini 3.1 Pro
GoogleMax Context: 1,000,000 tokens
$2 / $12 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
▼
▼
Use Batch API (50% discount)
25%
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

$0.016750 Total Cost
$0.007500 Input Cost
$0.009000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
11,500Total Tokens
$0.001457Cost per 1K
686,567Tokens per $
🔄 Dynamic Tier Pricing Active: Using Standard pricing (tier1) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

29.79s Processing Time
400 Tokens/Second
220ms Time to First Token
388 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 Pro Google 1000000

$0.016750 (rounded ~ $0.02)
Total Cost
⚡ 25% Cached 📊 Batch API 🔧 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) $0.019000 Input: $0.010000
Output: $0.009000
Optimized Cost $0.016750 (rounded ~ $0.02) Input: $0.010000
Output: $0.009000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.002250 11.8% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Standard
tier1 pricing based on 0 tokens

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 1,500 output tokens:

  • Input Cost: $0.010000
  • Output Cost: $0.009000
  • Total Cost: $0.016750 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.001457
  • Tokens per dollar: 686,567 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

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

  • Processing Time: 29.79 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 388 tokens/second (temperature-adjusted)

Best Use Cases

Multimodal clinical intake for Gemini vs complex agentic reasoning for GPT.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Pro. 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.

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GPT-5.5 Pro OpenAI 1000000

$0.142500 (rounded ~ $0.14)
Total Cost
⚡ 25% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.142500 (rounded ~ $0.14) Input: $0.075000 (rounded ~ $0.08)
Output: $0.067500 (rounded ~ $0.07)
Optimized Cost $0.142500 (rounded ~ $0.14) Input: $0.075000 (rounded ~ $0.08)
Output: $0.067500 (rounded ~ $0.07)
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 1,500 output tokens:

  • Input Cost: $0.075000 (rounded ~ $0.08)
  • Output Cost: $0.067500 (rounded ~ $0.07)
  • Total Cost: $0.142500 (rounded ~ $0.14)
  • Cost per 1K tokens: $0.012391 (rounded ~ $0.01)
  • Tokens per dollar: 80,702 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 340 tokens per second and 260ms time to first token:

  • Processing Time: 35.02 seconds
  • Latency: 260 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 330 tokens/second (temperature-adjusted)

Best Use Cases

Multimodal clinical intake for Gemini vs complex agentic reasoning for GPT.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.5 Pro. 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 Pro
📋 Active Input Parameters
Input Tokens: 10,000
Output Tokens: 1,500
Batch API: Enabled (50% discount)
Cached Tokens: 25%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Pro vs GPT-5.5 Pro
🏆 Mistral Small 3
Mistral AI
 $0.000306 Best Value ↓ 98.2% cheaper ↓ 99.8% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.001047 ↓ 93.8% cheaper ↓ 99.3% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.001519 ↓ 90.9% cheaper ↓ 98.9% cheaper
#4 Gemini 2.5 Flash
Google
 $0.001519 ↓ 90.9% cheaper ↓ 98.9% cheaper
#5 Mistral Large 3
Mistral AI
 $0.001531 ↓ 90.9% cheaper ↓ 98.9% cheaper
#6 Gemini 3.8 Flash
Google
 $0.002859 ↓ 82.9% cheaper ↓ 98% cheaper
#7 GPT-5.4 mini
OpenAI
 $0.003141 ↓ 81.3% cheaper ↓ 97.8% cheaper
#8 o4-mini Deep Research
OpenAI
 $0.003438 ↓ 79.5% cheaper ↓ 97.6% cheaper
#9 o4-mini
OpenAI
 $0.003781 ↓ 77.4% cheaper ↓ 97.3% cheaper
#10 Claude Haiku 4.5
Anthropic
 $0.003813 ↓ 77.2% cheaper ↓ 97.3% cheaper
#11 Gemini 3.1 Flash
Google
 $0.004188 ↓ 75% cheaper ↓ 97.1% cheaper
#12 GPT-5.6 Luna
OpenAI
 $0.004188 ↓ 75% cheaper ↓ 97.1% cheaper
#13 Gemini 3.6 Flash
Google
 $0.005719 (rounded ~ $0.01) ↓ 65.9% cheaper ↓ 96% cheaper
#14 Gemini 3.5 Flash
Google
 $0.006281 (rounded ~ $0.01) ↓ 62.5% cheaper ↓ 95.6% cheaper
#15 Claude Sonnet 5
Anthropic
 $0.007625 (rounded ~ $0.01) ↓ 54.5% cheaper ↓ 94.6% cheaper
#16 GPT-5.3 Codex Spark
OpenAI
 $0.008641 (rounded ~ $0.01) ↓ 48.4% cheaper ↓ 93.9% cheaper
#17 GPT-5.3 Instant
OpenAI
 $0.008641 (rounded ~ $0.01) ↓ 48.4% cheaper ↓ 93.9% cheaper
#18 GPT-5.6 Terra
OpenAI
 $0.010469 ↓ 37.5% cheaper ↓ 92.7% cheaper
#19 Grok 4.3
xAI
 $0.010750 ↓ 35.8% cheaper ↓ 92.5% cheaper
#20 Grok 4.20 Beta
xAI
 $0.010750 ↓ 35.8% cheaper ↓ 92.5% cheaper
#21 Claude Sonnet 4.6
Anthropic
 $0.011438 (rounded ~ $0.01) ↓ 31.7% cheaper ↓ 92% cheaper
#22 Gemini 2.5 Pro
Google
 $0.012344 (rounded ~ $0.01) ↓ 26.3% cheaper ↓ 91.3% cheaper
#23 Claude Opus 4.7
Anthropic
 $0.019063 ↑ 13.8% more ↓ 86.6% cheaper
#24 Claude Opus 5
Anthropic
 $0.019063 ↑ 13.8% more ↓ 86.6% cheaper
#25 Claude Opus 4.8
Anthropic
 $0.019063 ↑ 13.8% more ↓ 86.6% cheaper
#26 Claude Opus 4.6
Anthropic
 $0.019063 ↑ 13.8% more ↓ 86.6% cheaper
#27 GPT-5.4
OpenAI
 $0.020938 ↑ 25% more ↓ 85.3% cheaper
#28 GPT-5.4 Thinking
OpenAI
 $0.020938 ↑ 25% more ↓ 85.3% cheaper
#29 GPT-5.5 Instant
OpenAI
 $0.020938 ↑ 25% more ↓ 85.3% cheaper
#30 GPT-5.6 Sol
OpenAI
 $0.020938 ↑ 25% more ↓ 85.3% cheaper
#31 o3 Deep Research
OpenAI
 $0.034375 (rounded ~ $0.03) ↑ 105.2% more ↓ 75.9% cheaper
#32 Claude Fable 5.1
Anthropic
 $0.037656 (rounded ~ $0.04) ↑ 124.8% more ↓ 73.6% cheaper
#33 Claude Mythos 5.1
Anthropic
 $0.037656 (rounded ~ $0.04) ↑ 124.8% more ↓ 73.6% cheaper
#34 Claude Fable 5
Anthropic
 $0.038125 (rounded ~ $0.04) ↑ 127.6% more ↓ 73.2% cheaper
#35 Claude Mythos 5
Anthropic
 $0.038125 (rounded ~ $0.04) ↑ 127.6% more ↓ 73.2% cheaper
#36 GPT-5.5
OpenAI
 $0.041875 (rounded ~ $0.04) ↑ 150% more ↓ 70.6% cheaper
#37 o3 Pro
OpenAI
 $0.068750 (rounded ~ $0.07) ↑ 310.4% more ↓ 51.8% cheaper
#38 GPT-6 Astra
OpenAI
 $0.076250 (rounded ~ $0.08) ↑ 355.2% more ↓ 46.5% cheaper
#39 GPT-5.2 Pro
OpenAI
 $0.103688 (rounded ~ $0.10) ↑ 519% more ↓ 27.2% cheaper
#40 GPT-5.2 Pro
OpenAI
 $0.103688 (rounded ~ $0.10) ↑ 519% more ↓ 27.2% cheaper
🏆

Mistral Small 3
Mistral AI

$0.000306
vs Gemini 3.1 Pro: ↓ 98.2%
vs GPT-5.5 Pro: ↓ 99.8%
🥈

Gemini 3.1 Flash Lite
Google

$0.001047
vs Gemini 3.1 Pro: ↓ 93.8%
vs GPT-5.5 Pro: ↓ 99.3%
🥉

Gemini 3.5 Flash-Lite
Google

$0.001519
vs Gemini 3.1 Pro: ↓ 90.9%
vs GPT-5.5 Pro: ↓ 98.9%
#4

Gemini 2.5 Flash
Google

$0.001519
vs Gemini 3.1 Pro: ↓ 90.9%
vs GPT-5.5 Pro: ↓ 98.9%
#5

Mistral Large 3
Mistral AI

$0.001531
vs Gemini 3.1 Pro: ↓ 90.9%
vs GPT-5.5 Pro: ↓ 98.9%
#6

Gemini 3.8 Flash
Google

$0.002859
vs Gemini 3.1 Pro: ↓ 82.9%
vs GPT-5.5 Pro: ↓ 98%
#7

GPT-5.4 mini
OpenAI

$0.003141
vs Gemini 3.1 Pro: ↓ 81.3%
vs GPT-5.5 Pro: ↓ 97.8%
#8

o4-mini Deep Research
OpenAI

$0.003438
vs Gemini 3.1 Pro: ↓ 79.5%
vs GPT-5.5 Pro: ↓ 97.6%
#9

o4-mini
OpenAI

$0.003781
vs Gemini 3.1 Pro: ↓ 77.4%
vs GPT-5.5 Pro: ↓ 97.3%
#10

Claude Haiku 4.5
Anthropic

$0.003813
vs Gemini 3.1 Pro: ↓ 77.2%
vs GPT-5.5 Pro: ↓ 97.3%
#11

Gemini 3.1 Flash
Google

$0.004188
vs Gemini 3.1 Pro: ↓ 75%
vs GPT-5.5 Pro: ↓ 97.1%
#12

GPT-5.6 Luna
OpenAI

$0.004188
vs Gemini 3.1 Pro: ↓ 75%
vs GPT-5.5 Pro: ↓ 97.1%
#13

Gemini 3.6 Flash
Google

$0.005719 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 65.9%
vs GPT-5.5 Pro: ↓ 96%
#14

Gemini 3.5 Flash
Google

$0.006281 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 62.5%
vs GPT-5.5 Pro: ↓ 95.6%
#15

Claude Sonnet 5
Anthropic

$0.007625 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 54.5%
vs GPT-5.5 Pro: ↓ 94.6%
#16

GPT-5.3 Codex Spark
OpenAI

$0.008641 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 48.4%
vs GPT-5.5 Pro: ↓ 93.9%
#17

GPT-5.3 Instant
OpenAI

$0.008641 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 48.4%
vs GPT-5.5 Pro: ↓ 93.9%
#18

GPT-5.6 Terra
OpenAI

$0.010469
vs Gemini 3.1 Pro: ↓ 37.5%
vs GPT-5.5 Pro: ↓ 92.7%
#19

Grok 4.3
xAI

$0.010750
vs Gemini 3.1 Pro: ↓ 35.8%
vs GPT-5.5 Pro: ↓ 92.5%
#20

Grok 4.20 Beta
xAI

$0.010750
vs Gemini 3.1 Pro: ↓ 35.8%
vs GPT-5.5 Pro: ↓ 92.5%
#21

Claude Sonnet 4.6
Anthropic

$0.011438 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 31.7%
vs GPT-5.5 Pro: ↓ 92%
#22

Gemini 2.5 Pro
Google

$0.012344 (rounded ~ $0.01)
vs Gemini 3.1 Pro: ↓ 26.3%
vs GPT-5.5 Pro: ↓ 91.3%
#23

Claude Opus 4.7
Anthropic

$0.019063
vs Gemini 3.1 Pro: ↑ 13.8%
vs GPT-5.5 Pro: ↓ 86.6%
#24

Claude Opus 5
Anthropic

$0.019063
vs Gemini 3.1 Pro: ↑ 13.8%
vs GPT-5.5 Pro: ↓ 86.6%
#25

Claude Opus 4.8
Anthropic

$0.019063
vs Gemini 3.1 Pro: ↑ 13.8%
vs GPT-5.5 Pro: ↓ 86.6%
#26

Claude Opus 4.6
Anthropic

$0.019063
vs Gemini 3.1 Pro: ↑ 13.8%
vs GPT-5.5 Pro: ↓ 86.6%
#27

GPT-5.4
OpenAI

$0.020938
vs Gemini 3.1 Pro: ↑ 25%
vs GPT-5.5 Pro: ↓ 85.3%
#28

GPT-5.4 Thinking
OpenAI

$0.020938
vs Gemini 3.1 Pro: ↑ 25%
vs GPT-5.5 Pro: ↓ 85.3%
#29

GPT-5.5 Instant
OpenAI

$0.020938
vs Gemini 3.1 Pro: ↑ 25%
vs GPT-5.5 Pro: ↓ 85.3%
#30

GPT-5.6 Sol
OpenAI

$0.020938
vs Gemini 3.1 Pro: ↑ 25%
vs GPT-5.5 Pro: ↓ 85.3%
#31

o3 Deep Research
OpenAI

$0.034375 (rounded ~ $0.03)
vs Gemini 3.1 Pro: ↑ 105.2%
vs GPT-5.5 Pro: ↓ 75.9%
#32

Claude Fable 5.1
Anthropic

$0.037656 (rounded ~ $0.04)
vs Gemini 3.1 Pro: ↑ 124.8%
vs GPT-5.5 Pro: ↓ 73.6%
#33

Claude Mythos 5.1
Anthropic

$0.037656 (rounded ~ $0.04)
vs Gemini 3.1 Pro: ↑ 124.8%
vs GPT-5.5 Pro: ↓ 73.6%
#34

Claude Fable 5
Anthropic

$0.038125 (rounded ~ $0.04)
vs Gemini 3.1 Pro: ↑ 127.6%
vs GPT-5.5 Pro: ↓ 73.2%
#35

Claude Mythos 5
Anthropic

$0.038125 (rounded ~ $0.04)
vs Gemini 3.1 Pro: ↑ 127.6%
vs GPT-5.5 Pro: ↓ 73.2%
#36

GPT-5.5
OpenAI

$0.041875 (rounded ~ $0.04)
vs Gemini 3.1 Pro: ↑ 150%
vs GPT-5.5 Pro: ↓ 70.6%
#37

o3 Pro
OpenAI

$0.068750 (rounded ~ $0.07)
vs Gemini 3.1 Pro: ↑ 310.4%
vs GPT-5.5 Pro: ↓ 51.8%
#38

GPT-6 Astra
OpenAI

$0.076250 (rounded ~ $0.08)
vs Gemini 3.1 Pro: ↑ 355.2%
vs GPT-5.5 Pro: ↓ 46.5%
#39

GPT-5.2 Pro
OpenAI

$0.103688 (rounded ~ $0.10)
vs Gemini 3.1 Pro: ↑ 519%
vs GPT-5.5 Pro: ↓ 27.2%
#40

GPT-5.2 Pro
OpenAI

$0.103688 (rounded ~ $0.10)
vs Gemini 3.1 Pro: ↑ 519%
vs GPT-5.5 Pro: ↓ 27.2%
✨ 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.

Choosing between Gemini 3.1 Pro and GPT-5.5 Pro for clinical summaries often comes down to multimodal needs versus deep agentic reasoning. Gemini 3.1 Pro excels in environments where the clinical data input is heterogeneous, such as transcribing audio dictations alongside scans or images, thanks to its natively multimodal architecture. It effectively handles long-context inputs, making it valuable for comprehensive patient case reviews. Conversely, GPT-5.5 Pro is frequently the stronger candidate for high-stakes, multi-step clinical reasoning tasks where deep logic is required to synthesize lab trends or complex patient history. Its agentic capabilities are particularly suited for scenarios where the AI must not just summarize, but evaluate clinical information against standard medical guidelines. While both models provide high levels of accuracy, Gemini 3.1 Pro’s strength in processing native multimodal inputs often makes it the more efficient choice for direct dictation workflows where audio-to-text accuracy is paramount. GPT-5.5 Pro, however, provides a more robust reasoning framework for complex diagnostic or triage support tasks where logical synthesis and safety-critical alignment are the primary bottlenecks. For mid-market SaaS providers, the decision rests on whether the workflow is more document-intensive or requires complex diagnostic evaluation.

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 Pro currently costs $2.00 / $12.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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