Sonar Deep Research vs Gemini 3.1 Pro: Academic Fact-Checking

Sonar Deep Research vs Gemini 3.1 Pro
Complete Comparison: 15,000 input tokens × 2,000 output tokens
Comparison Mode

Complete comparison of pricing, performance, and capabilities for 2 leading AI models .

Comparison Criteria Sonar Deep Research
Perplexity
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs)
Input Tokens 15,000 15,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.030000 $0.030000
Output Cost $0.016000 (rounded ~ $0.02)Best $0.024000 (rounded ~ $0.02)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.046000 (rounded ~ $0.05) Best Value $0.054000 (rounded ~ $0.05) Most Expensive
Processing Time 1 minute, 25.18 seconds Slowest 42.68 seconds Fastest
Tokens per Second 200Slowest 400Fastest
Time to First Token 300ms Worst 220ms Best
Cost per 1K tokens $0.002706Best $0.003176Worst
Tokens per Dollar 369,565Best Value 314,815Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $2.000000 $2.000000
Output Cost / 1M (Base) $8.000000Best $12.000000Worst
Input Cost / 1M (Optimized) $2.000000
Optimizations: No optimizations applied
$2.000000
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $8.000000Best
Optimizations: No optimizations applied
$12.000000Worst
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✗ Not Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support ✗ Not Supported ✓ Supported
Batch API Support ✗ Not Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Select AI Model

Sonar Deep Research
PerplexityMax Context: 1,000,000 tokens
$2 / $8 + citations research pricing
▼
▼
Use Batch API (50% discount)
0%
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

$0.046000 Total Cost
$0.030000 Input Cost
$0.016000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
17,000Total Tokens
$0.002706Cost per 1K
369,565Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

1m 25s Processing Time
200 Tokens/Second
300ms Time to First Token
200 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.

Sonar Deep Research Perplexity 1000000

$0.046000 (rounded ~ $0.05)
Total Cost
🔧 Tools
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.046000 (rounded ~ $0.05) Input: $0.030000
Output: $0.016000 (rounded ~ $0.02)
Optimized Cost $0.046000 (rounded ~ $0.05) Input: $0.030000
Output: $0.016000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 15,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.030000
  • Output Cost: $0.016000 (rounded ~ $0.02)
  • Total Cost: $0.046000 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.002706
  • Tokens per dollar: 369,565 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 200 tokens per second and 300ms time to first token:

  • Processing Time: 1 minute, 25.18 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 200 tokens/second

Best Use Cases

Citation VerificationAcademic ResearchFact Checking

Want this applied to YOUR actual stack?

This calculator shows the math for Sonar Deep Research. 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 2000000

$0.054000 (rounded ~ $0.05)
Total Cost
🔧 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) $0.054000 (rounded ~ $0.05) Input: $0.030000
Output: $0.024000 (rounded ~ $0.02)
Optimized Cost $0.054000 (rounded ~ $0.05) Input: $0.030000
Output: $0.024000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 15,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.030000
  • Output Cost: $0.024000 (rounded ~ $0.02)
  • Total Cost: $0.054000 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.003176
  • Tokens per dollar: 314,815 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

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

  • Processing Time: 42.68 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second

Best Use Cases

Citation VerificationAcademic ResearchFact Checking

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 Sonar Deep Research
📋 Active Input Parameters
Input Tokens: 15,000
Output Tokens: 2,000
Tools: Enabled
Rank AI Model & Provider Total Cost vs Sonar Deep Research vs Gemini 3.1 Pro
🏆 Mistral Small 3
Mistral AI
 $0.002100 Best Value ↓ 95.4% cheaper ↓ 96.1% cheaper
🥈 Llama 4 Maverick (400B)
Meta AI
 $0.003450 ↓ 92.5% cheaper ↓ 93.6% cheaper
🥉 Grok Code Fast 1
xAI
 $0.006000 (rounded ~ $0.01) ↓ 87% cheaper ↓ 88.9% cheaper
#4 Gemini 3.1 Flash Lite
Google
 $0.006750 (rounded ~ $0.01) ↓ 85.3% cheaper ↓ 87.5% cheaper
#5 Gemini 2.5 Flash
Google
 $0.009500 ↓ 79.3% cheaper ↓ 82.4% cheaper
#6 Mistral Large 3
Mistral AI
 $0.010500 ↓ 77.2% cheaper ↓ 80.6% cheaper
#7 Gemini 3.1 Flash
Google
 $0.013500 (rounded ~ $0.01) ↓ 70.7% cheaper ↓ 75% cheaper
#8 Kimi K2.5
Moonshot AI
 $0.015000 (rounded ~ $0.02) ↓ 67.4% cheaper ↓ 72.2% cheaper
#9 GPT-5.4 mini
OpenAI
 $0.020250 ↓ 56% cheaper ↓ 62.5% cheaper
#10 Kimi K2.6
Moonshot AI
 $0.022250 (rounded ~ $0.02) ↓ 51.6% cheaper ↓ 58.8% cheaper
#11 o4-mini Deep Research
OpenAI
 $0.023000 (rounded ~ $0.02) ↓ 50% cheaper ↓ 57.4% cheaper
#12 Grok 4.3
xAI
 $0.023750 (rounded ~ $0.02) ↓ 48.4% cheaper ↓ 56% cheaper
#13 Claude Haiku 4.5
Anthropic
 $0.025000 (rounded ~ $0.03) ↓ 45.7% cheaper ↓ 53.7% cheaper
#14 o4-mini
OpenAI
 $0.025300 (rounded ~ $0.03) ↓ 45% cheaper ↓ 53.1% cheaper
#15 Gemini 2.5 Pro
Google
 $0.038750 (rounded ~ $0.04) ↓ 15.8% cheaper ↓ 28.2% cheaper
#16 Gemini 3.5 Flash
Google
 $0.040500 ↓ 12% cheaper ↓ 25% cheaper
#17 Grok 4.20 Beta
xAI
 $0.042000 (rounded ~ $0.04) ↓ 8.7% cheaper ↓ 22.2% cheaper
#18 Gemini 3.1 Pro
Google
 $0.054000 (rounded ~ $0.05) ↑ 17.4% more Same price
#19 GPT-5.3 Codex Spark
OpenAI
 $0.054250 (rounded ~ $0.05) ↑ 17.9% more ↑ 0.5% more
#20 GPT-5.3 Instant
OpenAI
 $0.054250 (rounded ~ $0.05) ↑ 17.9% more ↑ 0.5% more
#21 GPT-5.4
OpenAI
 $0.067500 (rounded ~ $0.07) ↑ 46.7% more ↑ 25% more
#22 GPT-5.4 Thinking
OpenAI
 $0.067500 (rounded ~ $0.07) ↑ 46.7% more ↑ 25% more
#23 Claude Sonnet 4.6
Anthropic
 $0.075000 (rounded ~ $0.08) ↑ 63% more ↑ 38.9% more
#24 Sonar Pro
Perplexity
 $0.085000 (rounded ~ $0.09) ↑ 84.8% more ↑ 57.4% more
#25 Claude Opus 4.7
Anthropic
 $0.125000 (rounded ~ $0.13) ↑ 171.7% more ↑ 131.5% more
#26 Claude Opus 4.8
Anthropic
 $0.125000 (rounded ~ $0.13) ↑ 171.7% more ↑ 131.5% more
#27 Claude Opus 4.6
Anthropic
 $0.125000 (rounded ~ $0.13) ↑ 171.7% more ↑ 131.5% more
#28 GPT-5.5
OpenAI
 $0.135000 (rounded ~ $0.14) ↑ 193.5% more ↑ 150% more
#29 GPT-5.5 Instant
OpenAI
 $0.135000 (rounded ~ $0.14) ↑ 193.5% more ↑ 150% more
#30 o3 Deep Research
OpenAI
 $0.230000 ↑ 400% more ↑ 325.9% more
#31 o3 Pro
OpenAI
 $0.460000 ↑ 900% more ↑ 751.9% more
#32 GPT-5.2 Pro
OpenAI
 $0.651000 (rounded ~ $0.65) ↑ 1315.2% more ↑ 1105.6% more
#33 GPT-5.5 Pro
OpenAI
 $0.810000 ↑ 1660.9% more ↑ 1400% more
#34 GPT-5.5 Pro
OpenAI
 $0.810000 ↑ 1660.9% more ↑ 1400% more
🏆

Mistral Small 3
Mistral AI

$0.002100
vs Sonar Deep Research: ↓ 95.4%
vs Gemini 3.1 Pro: ↓ 96.1%
🥈

Llama 4 Maverick (400B)
Meta AI

$0.003450
vs Sonar Deep Research: ↓ 92.5%
vs Gemini 3.1 Pro: ↓ 93.6%
🥉

Grok Code Fast 1
xAI

$0.006000 (rounded ~ $0.01)
vs Sonar Deep Research: ↓ 87%
vs Gemini 3.1 Pro: ↓ 88.9%
#4

Gemini 3.1 Flash Lite
Google

$0.006750 (rounded ~ $0.01)
vs Sonar Deep Research: ↓ 85.3%
vs Gemini 3.1 Pro: ↓ 87.5%
#5

Gemini 2.5 Flash
Google

$0.009500
vs Sonar Deep Research: ↓ 79.3%
vs Gemini 3.1 Pro: ↓ 82.4%
#6

Mistral Large 3
Mistral AI

$0.010500
vs Sonar Deep Research: ↓ 77.2%
vs Gemini 3.1 Pro: ↓ 80.6%
#7

Gemini 3.1 Flash
Google

$0.013500 (rounded ~ $0.01)
vs Sonar Deep Research: ↓ 70.7%
vs Gemini 3.1 Pro: ↓ 75%
#8

Kimi K2.5
Moonshot AI

$0.015000 (rounded ~ $0.02)
vs Sonar Deep Research: ↓ 67.4%
vs Gemini 3.1 Pro: ↓ 72.2%
#9

GPT-5.4 mini
OpenAI

$0.020250
vs Sonar Deep Research: ↓ 56%
vs Gemini 3.1 Pro: ↓ 62.5%
#10

Kimi K2.6
Moonshot AI

$0.022250 (rounded ~ $0.02)
vs Sonar Deep Research: ↓ 51.6%
vs Gemini 3.1 Pro: ↓ 58.8%
#11

o4-mini Deep Research
OpenAI

$0.023000 (rounded ~ $0.02)
vs Sonar Deep Research: ↓ 50%
vs Gemini 3.1 Pro: ↓ 57.4%
#12

Grok 4.3
xAI

$0.023750 (rounded ~ $0.02)
vs Sonar Deep Research: ↓ 48.4%
vs Gemini 3.1 Pro: ↓ 56%
#13

Claude Haiku 4.5
Anthropic

$0.025000 (rounded ~ $0.03)
vs Sonar Deep Research: ↓ 45.7%
vs Gemini 3.1 Pro: ↓ 53.7%
#14

o4-mini
OpenAI

$0.025300 (rounded ~ $0.03)
vs Sonar Deep Research: ↓ 45%
vs Gemini 3.1 Pro: ↓ 53.1%
#15

Gemini 2.5 Pro
Google

$0.038750 (rounded ~ $0.04)
vs Sonar Deep Research: ↓ 15.8%
vs Gemini 3.1 Pro: ↓ 28.2%
#16

Gemini 3.5 Flash
Google

$0.040500
vs Sonar Deep Research: ↓ 12%
vs Gemini 3.1 Pro: ↓ 25%
#17

Grok 4.20 Beta
xAI

$0.042000 (rounded ~ $0.04)
vs Sonar Deep Research: ↓ 8.7%
vs Gemini 3.1 Pro: ↓ 22.2%
#18

Gemini 3.1 Pro
Google

$0.054000 (rounded ~ $0.05)
vs Sonar Deep Research: ↑ 17.4%
vs Gemini 3.1 Pro: Same
#19

GPT-5.3 Codex Spark
OpenAI

$0.054250 (rounded ~ $0.05)
vs Sonar Deep Research: ↑ 17.9%
vs Gemini 3.1 Pro: ↑ 0.5%
#20

GPT-5.3 Instant
OpenAI

$0.054250 (rounded ~ $0.05)
vs Sonar Deep Research: ↑ 17.9%
vs Gemini 3.1 Pro: ↑ 0.5%
#21

GPT-5.4
OpenAI

$0.067500 (rounded ~ $0.07)
vs Sonar Deep Research: ↑ 46.7%
vs Gemini 3.1 Pro: ↑ 25%
#22

GPT-5.4 Thinking
OpenAI

$0.067500 (rounded ~ $0.07)
vs Sonar Deep Research: ↑ 46.7%
vs Gemini 3.1 Pro: ↑ 25%
#23

Claude Sonnet 4.6
Anthropic

$0.075000 (rounded ~ $0.08)
vs Sonar Deep Research: ↑ 63%
vs Gemini 3.1 Pro: ↑ 38.9%
#24

Sonar Pro
Perplexity

$0.085000 (rounded ~ $0.09)
vs Sonar Deep Research: ↑ 84.8%
vs Gemini 3.1 Pro: ↑ 57.4%
#25

Claude Opus 4.7
Anthropic

$0.125000 (rounded ~ $0.13)
vs Sonar Deep Research: ↑ 171.7%
vs Gemini 3.1 Pro: ↑ 131.5%
#26

Claude Opus 4.8
Anthropic

$0.125000 (rounded ~ $0.13)
vs Sonar Deep Research: ↑ 171.7%
vs Gemini 3.1 Pro: ↑ 131.5%
#27

Claude Opus 4.6
Anthropic

$0.125000 (rounded ~ $0.13)
vs Sonar Deep Research: ↑ 171.7%
vs Gemini 3.1 Pro: ↑ 131.5%
#28

GPT-5.5
OpenAI

$0.135000 (rounded ~ $0.14)
vs Sonar Deep Research: ↑ 193.5%
vs Gemini 3.1 Pro: ↑ 150%
#29

GPT-5.5 Instant
OpenAI

$0.135000 (rounded ~ $0.14)
vs Sonar Deep Research: ↑ 193.5%
vs Gemini 3.1 Pro: ↑ 150%
#30

o3 Deep Research
OpenAI

$0.230000
vs Sonar Deep Research: ↑ 400%
vs Gemini 3.1 Pro: ↑ 325.9%
#31

o3 Pro
OpenAI

$0.460000
vs Sonar Deep Research: ↑ 900%
vs Gemini 3.1 Pro: ↑ 751.9%
#32

GPT-5.2 Pro
OpenAI

$0.651000 (rounded ~ $0.65)
vs Sonar Deep Research: ↑ 1315.2%
vs Gemini 3.1 Pro: ↑ 1105.6%
#33

GPT-5.5 Pro
OpenAI

$0.810000
vs Sonar Deep Research: ↑ 1660.9%
vs Gemini 3.1 Pro: ↑ 1400%
#34

GPT-5.5 Pro
OpenAI

$0.810000
vs Sonar Deep Research: ↑ 1660.9%
vs Gemini 3.1 Pro: ↑ 1400%
✨ 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.

Verified Knowledge Retrieval Comparison

Compare the cost of verifying 100 scientific citations. Sonar Deep Research uses specialized web-grounding, while Gemini 3.1 Pro leverages its huge internal training set.

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 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.