Knowledge Base Q&A: Claude Opus 4.8 vs Gemini 3.1 Pro for 50K-Token Per-Query Contexts

Claude Opus 4.8 has been replaced by Claude Opus 5

The pricing shown below is for the older model and is kept for reference. If you are choosing a model today, use the current version — its rate and context window differ.

See current Claude Opus 5 pricing →  ·  All recent pricing changes

Claude Opus 4.8 vs Gemini 3.1 Pro
Complete Comparison: 50,000 input tokens × 1,000 output tokens
Comparison Mode
⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 50% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria Claude Opus 4.8
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (50% cached)
Input Tokens 50,000 50,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $0.250000Worst $0.100000Best
Output Cost $0.025000 (rounded ~ $0.03)Worst $0.012000 (rounded ~ $0.01)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.162500 (rounded ~ $0.16) Most Expensive $0.067000 (rounded ~ $0.07) Best Value
Processing Time 3 minutes, 15.07 seconds Slowest 2 minutes, 16.61 seconds Fastest
Tokens per Second 280Slowest 400Fastest
Time to First Token 380ms Worst 220ms Best
Cost per 1K tokens $0.003186Worst $0.001314Best
Tokens per Dollar 313,846Worst Value 761,194Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $5.000000Worst $2.000000Best
Output Cost / 1M (Base) $25.000000Worst $12.000000Best
Input Cost / 1M (Optimized) $5.000000Worst
Optimizations: No optimizations applied
$2.000000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $25.000000Worst
Optimizations: No optimizations applied
$12.000000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Select AI Model

Claude Opus 4.8
AnthropicMax Context: 1,000,000 tokens
$5 / $25 per 1M tokens
▼
▼
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

$0.162500 Total Cost
$0.125000 Input Cost
$0.025000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
51,000Total Tokens
$0.003186Cost per 1K
313,846Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 15s Processing Time
280 Tokens/Second
380ms Time to First Token
262 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.

Claude Opus 4.8 Anthropic 1000000

$0.162500 (rounded ~ $0.16)
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) $0.275000 (rounded ~ $0.28) Input: $0.250000
Output: $0.025000 (rounded ~ $0.03)
Optimized Cost $0.162500 (rounded ~ $0.16) Input: $0.250000
Output: $0.025000 (rounded ~ $0.03)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.112500 (rounded ~ $0.11) 40.9% discount

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $0.250000
  • Output Cost: $0.025000 (rounded ~ $0.03)
  • Total Cost: $0.162500 (rounded ~ $0.16)
  • Cost per 1K tokens: $0.003186
  • Tokens per dollar: 313,846 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 280 tokens per second and 380ms time to first token:

  • Processing Time: 3 minutes, 15.07 seconds
  • Latency: 380 milliseconds to first token
  • Base Throughput: 280 tokens/second
  • Effective Throughput: 262 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Opus 4.8 for high-accuracyreasoning-heavy Q&A on technical docs. Use Gemini 3.1 Pro for massive-context retrieval across multi-modal company data.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Opus 4.8. 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 →

Gemini 3.1 Pro Google 1000000

$0.067000 (rounded ~ $0.07)
Total Cost
⚡ 50% Cached 🔧 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) $0.112000 (rounded ~ $0.11) Input: $0.100000
Output: $0.012000 (rounded ~ $0.01)
Optimized Cost $0.067000 (rounded ~ $0.07) Input: $0.100000
Output: $0.012000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.045000 (rounded ~ $0.05) 40.2% discount

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $0.100000
  • Output Cost: $0.012000 (rounded ~ $0.01)
  • Total Cost: $0.067000 (rounded ~ $0.07)
  • Cost per 1K tokens: $0.001314
  • Tokens per dollar: 761,194 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: 2 minutes, 16.61 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 374 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Opus 4.8 for high-accuracyreasoning-heavy Q&A on technical docs. Use Gemini 3.1 Pro for massive-context retrieval across multi-modal company data.

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.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Claude Opus 4.8
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 1,000
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.8 vs Gemini 3.1 Pro
🏆 Mistral Small 3
Mistral AI
 $0.003050 Best Value ↓ 98.1% cheaper ↓ 95.4% cheaper
🥈 Grok Code Fast 1
xAI
 $0.007000 (rounded ~ $0.01) ↓ 95.7% cheaper ↓ 89.6% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.008375 (rounded ~ $0.01) ↓ 94.8% cheaper ↓ 87.5% cheaper
#4 Gemini 3.5 Flash-Lite
Google
 $0.010750 ↓ 93.4% cheaper ↓ 84% cheaper
#5 Gemini 2.5 Flash
Google
 $0.010750 ↓ 93.4% cheaper ↓ 84% cheaper
#6 Mistral Large 3
Mistral AI
 $0.015250 (rounded ~ $0.02) ↓ 90.6% cheaper ↓ 77.2% cheaper
#7 Gemini 3.1 Flash
Google
 $0.016750 (rounded ~ $0.02) ↓ 89.7% cheaper ↓ 75% cheaper
#8 Kimi K2.5
Moonshot AI
 $0.020550 ↓ 87.4% cheaper ↓ 69.3% cheaper
#9 Gemini 3.8 Flash
Google
 $0.024375 (rounded ~ $0.02) ↓ 85% cheaper ↓ 63.6% cheaper
#10 GPT-5.4 mini
OpenAI
 $0.025125 (rounded ~ $0.03) ↓ 84.5% cheaper ↓ 62.5% cheaper
#11 Grok Build 0.1
xAI
 $0.029500 ↓ 81.8% cheaper ↓ 56% cheaper
#12 o4-mini Deep Research
OpenAI
 $0.031500 (rounded ~ $0.03) ↓ 80.6% cheaper ↓ 53% cheaper
#13 Kimi K2.6
Moonshot AI
 $0.031788 (rounded ~ $0.03) ↓ 80.4% cheaper ↓ 52.6% cheaper
#14 Kimi K2.7 Code
Moonshot AI
 $0.031788 (rounded ~ $0.03) ↓ 80.4% cheaper ↓ 52.6% cheaper
#15 Claude Haiku 4.5
Anthropic
 $0.032500 (rounded ~ $0.03) ↓ 80% cheaper ↓ 51.5% cheaper
#16 GPT-5.6 Luna
OpenAI
 $0.033500 (rounded ~ $0.03) ↓ 79.4% cheaper ↓ 50% cheaper
#17 o4-mini
OpenAI
 $0.034650 (rounded ~ $0.03) ↓ 78.7% cheaper ↓ 48.3% cheaper
#18 Grok 4.3
xAI
 $0.036875 (rounded ~ $0.04) ↓ 77.3% cheaper ↓ 45% cheaper
#19 Grok 4.20 Beta
xAI
 $0.036875 (rounded ~ $0.04) ↓ 77.3% cheaper ↓ 45% cheaper
#20 Gemini 2.5 Pro
Google
 $0.044375 (rounded ~ $0.04) ↓ 72.7% cheaper ↓ 33.8% cheaper
#21 Gemini 3.6 Flash
Google
 $0.048750 (rounded ~ $0.05) ↓ 70% cheaper ↓ 27.2% cheaper
#22 Gemini 3.5 Flash
Google
 $0.050250 ↓ 69.1% cheaper ↓ 25% cheaper
#23 Grok 4.6
xAI
 $0.061000 (rounded ~ $0.06) ↓ 62.5% cheaper ↓ 9% cheaper
#24 Grok 4.5
xAI
 $0.061000 (rounded ~ $0.06) ↓ 62.5% cheaper ↓ 9% cheaper
#25 GPT-5.3 Codex Spark
OpenAI
 $0.062125 (rounded ~ $0.06) ↓ 61.8% cheaper ↓ 7.3% cheaper
#26 GPT-5.3 Instant
OpenAI
 $0.062125 (rounded ~ $0.06) ↓ 61.8% cheaper ↓ 7.3% cheaper
#27 Claude Sonnet 5
Anthropic
 $0.065000 (rounded ~ $0.07) ↓ 60% cheaper ↓ 3% cheaper
#28 Gemini 3.1 Pro
Google
 $0.067000 (rounded ~ $0.07) ↓ 58.8% cheaper Same price
#29 GPT-5.4
OpenAI
 $0.083750 (rounded ~ $0.08) ↓ 48.5% cheaper ↑ 25% more
#30 GPT-5.4 Thinking
OpenAI
 $0.083750 (rounded ~ $0.08) ↓ 48.5% cheaper ↑ 25% more
#31 GPT-5.6 Terra
OpenAI
 $0.083750 (rounded ~ $0.08) ↓ 48.5% cheaper ↑ 25% more
#32 Claude Sonnet 4.6
Anthropic
 $0.097500 (rounded ~ $0.10) ↓ 40% cheaper ↑ 45.5% more
#33 Claude Opus 4.7
Anthropic
 $0.162500 (rounded ~ $0.16) Same price ↑ 142.5% more
#34 Claude Opus 5
Anthropic
 $0.162500 (rounded ~ $0.16) Same price ↑ 142.5% more
#35 Claude Opus 4.6
Anthropic
 $0.162500 (rounded ~ $0.16) Same price ↑ 142.5% more
#36 GPT-5.5
OpenAI
 $0.167500 (rounded ~ $0.17) ↑ 3.1% more ↑ 150% more
#37 GPT-5.5 Instant
OpenAI
 $0.167500 (rounded ~ $0.17) ↑ 3.1% more ↑ 150% more
#38 GPT-5.6 Sol
OpenAI
 $0.167500 (rounded ~ $0.17) ↑ 3.1% more ↑ 150% more
#39 Claude Fable 5.1
Anthropic
 $0.306250 (rounded ~ $0.31) ↑ 88.5% more ↑ 357.1% more
#40 Claude Mythos 5.1
Anthropic
 $0.306250 (rounded ~ $0.31) ↑ 88.5% more ↑ 357.1% more
#41 o3 Deep Research
OpenAI
 $0.315000 (rounded ~ $0.32) ↑ 93.8% more ↑ 370.1% more
#42 Claude Fable 5
Anthropic
 $0.325000 (rounded ~ $0.33) ↑ 100% more ↑ 385.1% more
#43 Claude Mythos 5
Anthropic
 $0.325000 (rounded ~ $0.33) ↑ 100% more ↑ 385.1% more
#44 GPT-6 Astra
OpenAI
 $0.325000 (rounded ~ $0.33) ↑ 100% more ↑ 385.1% more
#45 o3 Pro
OpenAI
 $0.630000 ↑ 287.7% more ↑ 840.3% more
#46 GPT-5.2 Pro
OpenAI
 $0.745500 (rounded ~ $0.75) ↑ 358.8% more ↑ 1012.7% more
#47 GPT-5.2 Pro
OpenAI
 $0.745500 (rounded ~ $0.75) ↑ 358.8% more ↑ 1012.7% more
🏆

Mistral Small 3
Mistral AI

$0.003050
vs Claude Opus 4.8: ↓ 98.1%
vs Gemini 3.1 Pro: ↓ 95.4%
🥈

Grok Code Fast 1
xAI

$0.007000 (rounded ~ $0.01)
vs Claude Opus 4.8: ↓ 95.7%
vs Gemini 3.1 Pro: ↓ 89.6%
🥉

Gemini 3.1 Flash Lite
Google

$0.008375 (rounded ~ $0.01)
vs Claude Opus 4.8: ↓ 94.8%
vs Gemini 3.1 Pro: ↓ 87.5%
#4

Gemini 3.5 Flash-Lite
Google

$0.010750
vs Claude Opus 4.8: ↓ 93.4%
vs Gemini 3.1 Pro: ↓ 84%
#5

Gemini 2.5 Flash
Google

$0.010750
vs Claude Opus 4.8: ↓ 93.4%
vs Gemini 3.1 Pro: ↓ 84%
#6

Mistral Large 3
Mistral AI

$0.015250 (rounded ~ $0.02)
vs Claude Opus 4.8: ↓ 90.6%
vs Gemini 3.1 Pro: ↓ 77.2%
#7

Gemini 3.1 Flash
Google

$0.016750 (rounded ~ $0.02)
vs Claude Opus 4.8: ↓ 89.7%
vs Gemini 3.1 Pro: ↓ 75%
#8

Kimi K2.5
Moonshot AI

$0.020550
vs Claude Opus 4.8: ↓ 87.4%
vs Gemini 3.1 Pro: ↓ 69.3%
#9

Gemini 3.8 Flash
Google

$0.024375 (rounded ~ $0.02)
vs Claude Opus 4.8: ↓ 85%
vs Gemini 3.1 Pro: ↓ 63.6%
#10

GPT-5.4 mini
OpenAI

$0.025125 (rounded ~ $0.03)
vs Claude Opus 4.8: ↓ 84.5%
vs Gemini 3.1 Pro: ↓ 62.5%
#11

Grok Build 0.1
xAI

$0.029500
vs Claude Opus 4.8: ↓ 81.8%
vs Gemini 3.1 Pro: ↓ 56%
#12

o4-mini Deep Research
OpenAI

$0.031500 (rounded ~ $0.03)
vs Claude Opus 4.8: ↓ 80.6%
vs Gemini 3.1 Pro: ↓ 53%
#13

Kimi K2.6
Moonshot AI

$0.031788 (rounded ~ $0.03)
vs Claude Opus 4.8: ↓ 80.4%
vs Gemini 3.1 Pro: ↓ 52.6%
#14

Kimi K2.7 Code
Moonshot AI

$0.031788 (rounded ~ $0.03)
vs Claude Opus 4.8: ↓ 80.4%
vs Gemini 3.1 Pro: ↓ 52.6%
#15

Claude Haiku 4.5
Anthropic

$0.032500 (rounded ~ $0.03)
vs Claude Opus 4.8: ↓ 80%
vs Gemini 3.1 Pro: ↓ 51.5%
#16

GPT-5.6 Luna
OpenAI

$0.033500 (rounded ~ $0.03)
vs Claude Opus 4.8: ↓ 79.4%
vs Gemini 3.1 Pro: ↓ 50%
#17

o4-mini
OpenAI

$0.034650 (rounded ~ $0.03)
vs Claude Opus 4.8: ↓ 78.7%
vs Gemini 3.1 Pro: ↓ 48.3%
#18

Grok 4.3
xAI

$0.036875 (rounded ~ $0.04)
vs Claude Opus 4.8: ↓ 77.3%
vs Gemini 3.1 Pro: ↓ 45%
#19

Grok 4.20 Beta
xAI

$0.036875 (rounded ~ $0.04)
vs Claude Opus 4.8: ↓ 77.3%
vs Gemini 3.1 Pro: ↓ 45%
#20

Gemini 2.5 Pro
Google

$0.044375 (rounded ~ $0.04)
vs Claude Opus 4.8: ↓ 72.7%
vs Gemini 3.1 Pro: ↓ 33.8%
#21

Gemini 3.6 Flash
Google

$0.048750 (rounded ~ $0.05)
vs Claude Opus 4.8: ↓ 70%
vs Gemini 3.1 Pro: ↓ 27.2%
#22

Gemini 3.5 Flash
Google

$0.050250
vs Claude Opus 4.8: ↓ 69.1%
vs Gemini 3.1 Pro: ↓ 25%
#23

Grok 4.6
xAI

$0.061000 (rounded ~ $0.06)
vs Claude Opus 4.8: ↓ 62.5%
vs Gemini 3.1 Pro: ↓ 9%
#24

Grok 4.5
xAI

$0.061000 (rounded ~ $0.06)
vs Claude Opus 4.8: ↓ 62.5%
vs Gemini 3.1 Pro: ↓ 9%
#25

GPT-5.3 Codex Spark
OpenAI

$0.062125 (rounded ~ $0.06)
vs Claude Opus 4.8: ↓ 61.8%
vs Gemini 3.1 Pro: ↓ 7.3%
#26

GPT-5.3 Instant
OpenAI

$0.062125 (rounded ~ $0.06)
vs Claude Opus 4.8: ↓ 61.8%
vs Gemini 3.1 Pro: ↓ 7.3%
#27

Claude Sonnet 5
Anthropic

$0.065000 (rounded ~ $0.07)
vs Claude Opus 4.8: ↓ 60%
vs Gemini 3.1 Pro: ↓ 3%
#28

Gemini 3.1 Pro
Google

$0.067000 (rounded ~ $0.07)
vs Claude Opus 4.8: ↓ 58.8%
vs Gemini 3.1 Pro: Same
#29

GPT-5.4
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Opus 4.8: ↓ 48.5%
vs Gemini 3.1 Pro: ↑ 25%
#30

GPT-5.4 Thinking
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Opus 4.8: ↓ 48.5%
vs Gemini 3.1 Pro: ↑ 25%
#31

GPT-5.6 Terra
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Opus 4.8: ↓ 48.5%
vs Gemini 3.1 Pro: ↑ 25%
#32

Claude Sonnet 4.6
Anthropic

$0.097500 (rounded ~ $0.10)
vs Claude Opus 4.8: ↓ 40%
vs Gemini 3.1 Pro: ↑ 45.5%
#33

Claude Opus 4.7
Anthropic

$0.162500 (rounded ~ $0.16)
vs Claude Opus 4.8: Same
vs Gemini 3.1 Pro: ↑ 142.5%
#34

Claude Opus 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Claude Opus 4.8: Same
vs Gemini 3.1 Pro: ↑ 142.5%
#35

Claude Opus 4.6
Anthropic

$0.162500 (rounded ~ $0.16)
vs Claude Opus 4.8: Same
vs Gemini 3.1 Pro: ↑ 142.5%
#36

GPT-5.5
OpenAI

$0.167500 (rounded ~ $0.17)
vs Claude Opus 4.8: ↑ 3.1%
vs Gemini 3.1 Pro: ↑ 150%
#37

GPT-5.5 Instant
OpenAI

$0.167500 (rounded ~ $0.17)
vs Claude Opus 4.8: ↑ 3.1%
vs Gemini 3.1 Pro: ↑ 150%
#38

GPT-5.6 Sol
OpenAI

$0.167500 (rounded ~ $0.17)
vs Claude Opus 4.8: ↑ 3.1%
vs Gemini 3.1 Pro: ↑ 150%
#39

Claude Fable 5.1
Anthropic

$0.306250 (rounded ~ $0.31)
vs Claude Opus 4.8: ↑ 88.5%
vs Gemini 3.1 Pro: ↑ 357.1%
#40

Claude Mythos 5.1
Anthropic

$0.306250 (rounded ~ $0.31)
vs Claude Opus 4.8: ↑ 88.5%
vs Gemini 3.1 Pro: ↑ 357.1%
#41

o3 Deep Research
OpenAI

$0.315000 (rounded ~ $0.32)
vs Claude Opus 4.8: ↑ 93.8%
vs Gemini 3.1 Pro: ↑ 370.1%
#42

Claude Fable 5
Anthropic

$0.325000 (rounded ~ $0.33)
vs Claude Opus 4.8: ↑ 100%
vs Gemini 3.1 Pro: ↑ 385.1%
#43

Claude Mythos 5
Anthropic

$0.325000 (rounded ~ $0.33)
vs Claude Opus 4.8: ↑ 100%
vs Gemini 3.1 Pro: ↑ 385.1%
#44

GPT-6 Astra
OpenAI

$0.325000 (rounded ~ $0.33)
vs Claude Opus 4.8: ↑ 100%
vs Gemini 3.1 Pro: ↑ 385.1%
#45

o3 Pro
OpenAI

$0.630000
vs Claude Opus 4.8: ↑ 287.7%
vs Gemini 3.1 Pro: ↑ 840.3%
#46

GPT-5.2 Pro
OpenAI

$0.745500 (rounded ~ $0.75)
vs Claude Opus 4.8: ↑ 358.8%
vs Gemini 3.1 Pro: ↑ 1012.7%
#47

GPT-5.2 Pro
OpenAI

$0.745500 (rounded ~ $0.75)
vs Claude Opus 4.8: ↑ 358.8%
vs Gemini 3.1 Pro: ↑ 1012.7%
✨ 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 the Right Engine for Your Internal RAG

For SaaS founders building internal knowledge base Q&A, the choice between Claude Opus 4.8 and Gemini 3.1 Pro often comes down to the nature of your documents and the complexity of the reasoning required. Both models operate at the frontier, but they excel in different operational environments.

Claude Opus 4.8 is the standout choice when your internal knowledge base contains highly technical, legal, or dense documentation. It demonstrates exceptional precision in instruction following, ensuring that when an employee asks a question, the model adheres strictly to the provided source material. Its reasoning capabilities make it particularly effective for multi-step tasks where the AI must synthesize information from different departments or disparate policy documents to provide a single, coherent answer.

Gemini 3.1 Pro, conversely, offers a significant advantage when your RAG pipeline requires ingesting massive datasets or multi-modal inputs. Its massive context window allows for holistic understanding of entire repositories of transcripts, video archives, and meeting notes without needing to aggressively chunk your data. This is ideal for organizations where the knowledge base is ‘living’—constantly updated via team communications and recordings rather than static PDF docs.

Ultimately, if your priority is nuanced, highly accurate answers from technical documentation, Claude Opus 4.8 is the reliable partner. If your goal is to map meaning across large-scale, diverse, and unstructured company data, Gemini 3.1 Pro’s architectural design provides a distinct advantage for wide-lens retrieval tasks.

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

Claude Opus 4.8 currently costs $5.00 / $25.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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