Claude Opus 5 vs Gemini 3.1 Pro: 200,000-Token 10-K Analysis

Claude Opus 5 vs Gemini 3.1 Pro
Complete Comparison: 200,000 input tokens × 2,500 output tokens
Comparison Mode
⚡ 60% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 60% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Opus 5
Anthropic
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (60% cached)
Input Tokens 200,000 200,000
Output Tokens 2,500 2,500
Cost Breakdown
Input Cost $0.250000Best $0.400000Worst
Output Cost $0.015625 (rounded ~ $0.02)Best $0.022500 (rounded ~ $0.02)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.130625 Best Value $0.206500 (rounded ~ $0.21) Most Expensive
Processing Time 11 minutes, 42.18 seconds Slowest 8 minutes, 46.68 seconds Fastest
Tokens per Second 300Slowest 400Fastest
Time to First Token 300ms Worst 220ms Best
Cost per 1K tokens $0.000645Best $0.001020Worst
Tokens per Dollar 1,550,239Best Value 980,630Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.250000Best $2.000000Worst
Output Cost / 1M (Base) $6.250000Best $9.000000Worst
Input Cost / 1M (Optimized) $0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
$1.000000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.125000 (rounded ~ $3.13)Best
Optimizations: 50.0% batch
$4.500000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
60
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Claude Opus 5
AnthropicMax Context: 1,000,000 tokens
$5 / $25 per 1M tokens
Use Batch API (50% discount)
60%
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

$0.100000 Input Cost
$0.015625 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
202,500Total Tokens
$0.000645Cost per 1K
1,550,239Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

11m 42s Processing Time
300 Tokens/Second
300ms Time to First Token
288 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 5 Anthropic 1000000

$0.130625
Total Cost
⚡ 60% 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
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.265625 (rounded ~ $0.27) Input: $0.250000
Output: $0.015625 (rounded ~ $0.02)
Optimized Cost $0.130625 Input: $0.250000
Output: $0.015625 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.135000 (rounded ~ $0.14) 50.8% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 2,500 output tokens:

  • Input Cost: $0.250000
  • Output Cost: $0.015625 (rounded ~ $0.02)
  • Total Cost: $0.130625
  • Cost per 1K tokens: $0.000645
  • Tokens per dollar: 1,550,239 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

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

  • Processing Time: 11 minutes, 42.18 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 288 tokens/second (temperature-adjusted)

Best Use Cases

Claude Opus 5 for deterministictemplate-driven extraction; Gemini 3.1 Pro for variable-layout analysis and complex reasoning.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Opus 5. 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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Gemini 3.1 Pro Google 1000000

$0.206500 (rounded ~ $0.21)
Total Cost
⚡ 60% 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) $0.422500 (rounded ~ $0.42) Input: $0.400000
Output: $0.022500 (rounded ~ $0.02)
Optimized Cost $0.206500 (rounded ~ $0.21) Input: $0.400000
Output: $0.022500 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.216000 (rounded ~ $0.22) 51.1% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 2,500 output tokens:

  • Input Cost: $0.400000
  • Output Cost: $0.022500 (rounded ~ $0.02)
  • Total Cost: $0.206500 (rounded ~ $0.21)
  • Cost per 1K tokens: $0.001020
  • Tokens per dollar: 980,630 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: 8 minutes, 46.68 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 385 tokens/second (temperature-adjusted)

Best Use Cases

Claude Opus 5 for deterministictemplate-driven extraction; Gemini 3.1 Pro for variable-layout analysis and complex reasoning.

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 5
📋 Active Input Parameters
Input Tokens: 200,000
Output Tokens: 2,500
Batch API: Enabled (50% discount)
Cached Tokens: 60%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 5 vs Gemini 3.1 Pro
🏆 Gemini 3.1 Flash Lite
Google
$0.006688 (rounded ~ $0.01) Best Value ↓ 94.9% cheaper ↓ 96.8% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
$0.008463 (rounded ~ $0.01) ↓ 93.5% cheaper ↓ 95.9% cheaper
🥉 Gemini 2.5 Flash
Google
$0.008463 (rounded ~ $0.01) ↓ 93.5% cheaper ↓ 95.9% cheaper
#4 Mistral Large 3
Mistral AI
$0.012438 (rounded ~ $0.01) ↓ 90.5% cheaper ↓ 94% cheaper
#5 Gemini 3.8 Flash
Google
$0.019594 ↓ 85% cheaper ↓ 90.5% cheaper
#6 GPT-5.4 mini
OpenAI
$0.020063 ↓ 84.6% cheaper ↓ 90.3% cheaper
#7 Claude Haiku 4.5
Anthropic
$0.026125 (rounded ~ $0.03) ↓ 80% cheaper ↓ 87.3% cheaper
#8 GPT-5.6 Luna
OpenAI
$0.026750 (rounded ~ $0.03) ↓ 79.5% cheaper ↓ 87% cheaper
#9 Gemini 3.6 Flash
Google
$0.039188 ↓ 70% cheaper ↓ 81% cheaper
#10 Gemini 3.5 Flash
Google
$0.040125 ↓ 69.3% cheaper ↓ 80.6% cheaper
#11 Claude Sonnet 5
Anthropic
$0.052250 (rounded ~ $0.05) ↓ 60% cheaper ↓ 74.7% cheaper
#12 Gemini 3.1 Flash
Google
$0.053500 (rounded ~ $0.05) ↓ 59% cheaper ↓ 74.1% cheaper
#13 GPT-5.6 Terra
OpenAI
$0.066875 (rounded ~ $0.07) ↓ 48.8% cheaper ↓ 67.6% cheaper
#14 Claude Sonnet 4.6
Anthropic
$0.078375 (rounded ~ $0.08) ↓ 40% cheaper ↓ 62% cheaper
#15 Claude Opus 4.7
Anthropic
$0.130625 Same price ↓ 36.7% cheaper
#16 Claude Opus 4.8
Anthropic
$0.130625 Same price ↓ 36.7% cheaper
#17 Claude Opus 4.6
Anthropic
$0.130625 Same price ↓ 36.7% cheaper
#18 GPT-5.4
OpenAI
$0.133750 (rounded ~ $0.13) ↑ 2.4% more ↓ 35.2% cheaper
#19 GPT-5.4 Thinking
OpenAI
$0.133750 (rounded ~ $0.13) ↑ 2.4% more ↓ 35.2% cheaper
#20 Gemini 2.5 Pro
Google
$0.133750 (rounded ~ $0.13) ↑ 2.4% more ↓ 35.2% cheaper
#21 GPT-5.5 Instant
OpenAI
$0.133750 (rounded ~ $0.13) ↑ 2.4% more ↓ 35.2% cheaper
#22 GPT-5.6 Sol
OpenAI
$0.133750 (rounded ~ $0.13) ↑ 2.4% more ↓ 35.2% cheaper
#23 Grok 4.3
xAI
$0.194000 (rounded ~ $0.19) ↑ 48.5% more ↓ 6.1% cheaper
#24 Grok 4.20 Beta
xAI
$0.194000 (rounded ~ $0.19) ↑ 48.5% more ↓ 6.1% cheaper
#25 Gemini 3.1 Pro
Google
$0.206500 (rounded ~ $0.21) ↑ 58.1% more Same price
#26 Claude Fable 5.1
Anthropic
$0.238750 (rounded ~ $0.24) ↑ 82.8% more ↑ 15.6% more
#27 Claude Mythos 5.1
Anthropic
$0.238750 (rounded ~ $0.24) ↑ 82.8% more ↑ 15.6% more
#28 Claude Fable 5
Anthropic
$0.261250 (rounded ~ $0.26) ↑ 100% more ↑ 26.5% more
#29 Claude Mythos 5
Anthropic
$0.261250 (rounded ~ $0.26) ↑ 100% more ↑ 26.5% more
#30 GPT-5.5
OpenAI
$0.516250 (rounded ~ $0.52) ↑ 295.2% more ↑ 150% more
#31 GPT-6 Astra
OpenAI
$1.045000 (rounded ~ $1.05) ↑ 700% more ↑ 406.1% more
#32 GPT-6 Astra
OpenAI
$1.045000 (rounded ~ $1.05) ↑ 700% more ↑ 406.1% more
🏆

Gemini 3.1 Flash Lite
Google

$0.006688 (rounded ~ $0.01)
vs Claude Opus 5: ↓ 94.9%
vs Gemini 3.1 Pro: ↓ 96.8%
🥈

Gemini 3.5 Flash-Lite
Google

$0.008463 (rounded ~ $0.01)
vs Claude Opus 5: ↓ 93.5%
vs Gemini 3.1 Pro: ↓ 95.9%
🥉

Gemini 2.5 Flash
Google

$0.008463 (rounded ~ $0.01)
vs Claude Opus 5: ↓ 93.5%
vs Gemini 3.1 Pro: ↓ 95.9%
#4

Mistral Large 3
Mistral AI

$0.012438 (rounded ~ $0.01)
vs Claude Opus 5: ↓ 90.5%
vs Gemini 3.1 Pro: ↓ 94%
#5

Gemini 3.8 Flash
Google

$0.019594
vs Claude Opus 5: ↓ 85%
vs Gemini 3.1 Pro: ↓ 90.5%
#6

GPT-5.4 mini
OpenAI

$0.020063
vs Claude Opus 5: ↓ 84.6%
vs Gemini 3.1 Pro: ↓ 90.3%
#7

Claude Haiku 4.5
Anthropic

$0.026125 (rounded ~ $0.03)
vs Claude Opus 5: ↓ 80%
vs Gemini 3.1 Pro: ↓ 87.3%
#8

GPT-5.6 Luna
OpenAI

$0.026750 (rounded ~ $0.03)
vs Claude Opus 5: ↓ 79.5%
vs Gemini 3.1 Pro: ↓ 87%
#9

Gemini 3.6 Flash
Google

$0.039188
vs Claude Opus 5: ↓ 70%
vs Gemini 3.1 Pro: ↓ 81%
#10

Gemini 3.5 Flash
Google

$0.040125
vs Claude Opus 5: ↓ 69.3%
vs Gemini 3.1 Pro: ↓ 80.6%
#11

Claude Sonnet 5
Anthropic

$0.052250 (rounded ~ $0.05)
vs Claude Opus 5: ↓ 60%
vs Gemini 3.1 Pro: ↓ 74.7%
#12

Gemini 3.1 Flash
Google

$0.053500 (rounded ~ $0.05)
vs Claude Opus 5: ↓ 59%
vs Gemini 3.1 Pro: ↓ 74.1%
#13

GPT-5.6 Terra
OpenAI

$0.066875 (rounded ~ $0.07)
vs Claude Opus 5: ↓ 48.8%
vs Gemini 3.1 Pro: ↓ 67.6%
#14

Claude Sonnet 4.6
Anthropic

$0.078375 (rounded ~ $0.08)
vs Claude Opus 5: ↓ 40%
vs Gemini 3.1 Pro: ↓ 62%
#15

Claude Opus 4.7
Anthropic

$0.130625
vs Claude Opus 5: Same
vs Gemini 3.1 Pro: ↓ 36.7%
#16

Claude Opus 4.8
Anthropic

$0.130625
vs Claude Opus 5: Same
vs Gemini 3.1 Pro: ↓ 36.7%
#17

Claude Opus 4.6
Anthropic

$0.130625
vs Claude Opus 5: Same
vs Gemini 3.1 Pro: ↓ 36.7%
#18

GPT-5.4
OpenAI

$0.133750 (rounded ~ $0.13)
vs Claude Opus 5: ↑ 2.4%
vs Gemini 3.1 Pro: ↓ 35.2%
#19

GPT-5.4 Thinking
OpenAI

$0.133750 (rounded ~ $0.13)
vs Claude Opus 5: ↑ 2.4%
vs Gemini 3.1 Pro: ↓ 35.2%
#20

Gemini 2.5 Pro
Google

$0.133750 (rounded ~ $0.13)
vs Claude Opus 5: ↑ 2.4%
vs Gemini 3.1 Pro: ↓ 35.2%
#21

GPT-5.5 Instant
OpenAI

$0.133750 (rounded ~ $0.13)
vs Claude Opus 5: ↑ 2.4%
vs Gemini 3.1 Pro: ↓ 35.2%
#22

GPT-5.6 Sol
OpenAI

$0.133750 (rounded ~ $0.13)
vs Claude Opus 5: ↑ 2.4%
vs Gemini 3.1 Pro: ↓ 35.2%
#23

Grok 4.3
xAI

$0.194000 (rounded ~ $0.19)
vs Claude Opus 5: ↑ 48.5%
vs Gemini 3.1 Pro: ↓ 6.1%
#24

Grok 4.20 Beta
xAI

$0.194000 (rounded ~ $0.19)
vs Claude Opus 5: ↑ 48.5%
vs Gemini 3.1 Pro: ↓ 6.1%
#25

Gemini 3.1 Pro
Google

$0.206500 (rounded ~ $0.21)
vs Claude Opus 5: ↑ 58.1%
vs Gemini 3.1 Pro: Same
#26

Claude Fable 5.1
Anthropic

$0.238750 (rounded ~ $0.24)
vs Claude Opus 5: ↑ 82.8%
vs Gemini 3.1 Pro: ↑ 15.6%
#27

Claude Mythos 5.1
Anthropic

$0.238750 (rounded ~ $0.24)
vs Claude Opus 5: ↑ 82.8%
vs Gemini 3.1 Pro: ↑ 15.6%
#28

Claude Fable 5
Anthropic

$0.261250 (rounded ~ $0.26)
vs Claude Opus 5: ↑ 100%
vs Gemini 3.1 Pro: ↑ 26.5%
#29

Claude Mythos 5
Anthropic

$0.261250 (rounded ~ $0.26)
vs Claude Opus 5: ↑ 100%
vs Gemini 3.1 Pro: ↑ 26.5%
#30

GPT-5.5
OpenAI

$0.516250 (rounded ~ $0.52)
vs Claude Opus 5: ↑ 295.2%
vs Gemini 3.1 Pro: ↑ 150%
#31

GPT-6 Astra
OpenAI

$1.045000 (rounded ~ $1.05)
vs Claude Opus 5: ↑ 700%
vs Gemini 3.1 Pro: ↑ 406.1%
#32

GPT-6 Astra
OpenAI

$1.045000 (rounded ~ $1.05)
vs Claude Opus 5: ↑ 700%
vs Gemini 3.1 Pro: ↑ 406.1%
✨ 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.

Frontier Model Selection for Financial Workflows

Choosing between Claude Opus 5 and Gemini 3.1 Pro for enterprise financial analysis involves balancing instruction-following rigor against complex reasoning capabilities. Claude Opus 5 has established itself as a premier model for tasks requiring strict adherence to complex, multi-step prompt instructions. Its ability to maintain a consistent output format across long, 200,000-token document processing sessions makes it an ideal choice for teams that require rigid, standardized JSON outputs from unstructured 10-K filings.

Conversely, Gemini 3.1 Pro distinguishes itself through its reasoning architecture, which is highly effective when the analysis requires synthesizing data across disparate sections of a filing. Where Opus 5 excels at following a predefined extraction template, Gemini 3.1 Pro often proves more capable of inferring relationships in novel or highly variable document layouts that haven’t been explicitly templated. For localization and financial teams, this makes Gemini 3.1 Pro a strong candidate for exploratory data analysis, while Claude Opus 5 remains the standard for deterministic, high-volume production extraction.

Both models offer significant improvements in long-context memory, yet they serve distinct operational needs. Teams should consider their existing infrastructure; those deeply integrated with Anthropic’s tool-use ecosystem or specific agentic frameworks may find the transition to Claude Opus 5 more seamless. Meanwhile, teams leveraging native multimodal document parsing may find Gemini 3.1 Pro’s unified architecture more efficient for reducing multi-stage pipeline complexity.

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.