Gemini 3.1 Pro Google 2000000
💰 Total Cost Calculation (from Plugin)
Output: $0.012000 (rounded ~ $0.01)
Output: $0.012000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 20,000 input tokens and 2,000 output tokens:
- Input Cost: $0.020000
- Output Cost: $0.012000 (rounded ~ $0.01)
- Total Cost: $0.019400
- Cost per 1K tokens: $0.000882
- Tokens per dollar: 1,134,021 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: 57.93 seconds
- Latency: 220 milliseconds to first token
- Base Throughput: 400 tokens/second
- Effective Throughput: 381 tokens/second (temperature-adjusted)
Best Use Cases
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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.
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💰 Total Cost Calculation (from Plugin)
Output: $0.180000
Output: $0.180000
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 20,000 input tokens and 2,000 output tokens:
- Input Cost: $0.300000
- Output Cost: $0.180000
- Total Cost: $0.291000 (rounded ~ $0.29)
- Cost per 1K tokens: $0.013227 (rounded ~ $0.01)
- Tokens per dollar: 75,601 tokens
- Context Window: 1024000 tokens
Speed & Performance Analysis
With a processing speed of 350 tokens per second and 250ms time to first token:
- Processing Time: 1 minute, 6.18 seconds
- Latency: 250 milliseconds to first token
- Base Throughput: 350 tokens/second
- Effective Throughput: 333 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for GPT-5.4 Pro. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.
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Get my instant AI audit — $39 →✨ Market Recommendations AI Model Registry
← Back to Gemini 3.1 Pro| Rank | AI Model & Provider | Total Cost | vs Gemini 3.1 Pro | vs GPT-5.4 Pro |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.000335 Best Value | ↓ 98.3% cheaper | ↓ 99.9% cheaper |
| 🥈 |
Voxtral Small 24B
Mistral AI
|
$0.000335 | ↓ 98.3% cheaper | ↓ 99.9% cheaper |
| 🥉 |
Devstral Small 2
Mistral AI
|
$0.000335 | ↓ 98.3% cheaper | ↓ 99.9% cheaper |
| #4 |
Ministral 3 (14B)
Mistral AI
|
$0.000470 | ↓ 97.6% cheaper | ↓ 99.8% cheaper |
| #5 |
Nemotron 3 Super
Mistral AI
|
$0.000965 | ↓ 95% cheaper | ↓ 99.7% cheaper |
| #6 |
Grok Code Fast 1
xAI
|
$0.001120 | ↓ 94.2% cheaper | ↓ 99.6% cheaper |
| #7 |
Devstral 2
Mistral AI
|
$0.001190 | ↓ 93.9% cheaper | ↓ 99.6% cheaper |
| #8 |
Gemini 3.1 Flash Lite
Google
|
$0.001213 | ↓ 93.8% cheaper | ↓ 99.6% cheaper |
| #9 |
Mistral Large 3
Mistral AI
|
$0.001675 | ↓ 91.4% cheaper | ↓ 99.4% cheaper |
| #10 |
Gemini 2.5 Flash
Google
|
$0.001805 | ↓ 90.7% cheaper | ↓ 99.4% cheaper |
| #11 |
Grok 4.3
xAI
|
$0.003563 | ↓ 81.6% cheaper | ↓ 98.8% cheaper |
| #12 |
GPT-5.4 mini
OpenAI
|
$0.003638 | ↓ 81.3% cheaper | ↓ 98.8% cheaper |
| #13 |
o4-mini Deep Research
OpenAI
|
$0.003850 | ↓ 80.2% cheaper | ↓ 98.7% cheaper |
| #14 |
o4-mini
OpenAI
|
$0.004235 | ↓ 78.2% cheaper | ↓ 98.5% cheaper |
| #15 |
Claude Haiku 4.5
Anthropic
|
$0.004350 | ↓ 77.6% cheaper | ↓ 98.5% cheaper |
| #16 |
Gemini 3.1 Flash
Google
|
$0.004850 | ↓ 75% cheaper | ↓ 98.3% cheaper |
| #17 |
Magistral Medium
Mistral AI
|
$0.006200 (rounded ~ $0.01) | ↓ 68% cheaper | ↓ 97.9% cheaper |
| #18 |
Grok 4.20 Beta
xAI
|
$0.006700 (rounded ~ $0.01) | ↓ 65.5% cheaper | ↓ 97.7% cheaper |
| #19 |
Gemini 3.5 Flash
Google
|
$0.007275 (rounded ~ $0.01) | ↓ 62.5% cheaper | ↓ 97.5% cheaper |
| #20 |
GPT-5.3 Codex Spark
OpenAI
|
$0.010238 | ↓ 47.2% cheaper | ↓ 96.5% cheaper |
| #21 |
GPT-5.3 Instant
OpenAI
|
$0.010238 | ↓ 47.2% cheaper | ↓ 96.5% cheaper |
| #22 |
Claude Sonnet 4.6
Anthropic
|
$0.013050 (rounded ~ $0.01) | ↓ 32.7% cheaper | ↓ 95.5% cheaper |
| #23 |
Gemini 2.5 Pro
Google
|
$0.014625 (rounded ~ $0.01) | ↓ 24.6% cheaper | ↓ 95% cheaper |
| #24 |
Claude Opus 4.7
Anthropic
|
$0.021750 (rounded ~ $0.02) | ↑ 12.1% more | ↓ 92.5% cheaper |
| #25 |
Claude Opus 4.8
Anthropic
|
$0.021750 (rounded ~ $0.02) | ↑ 12.1% more | ↓ 92.5% cheaper |
| #26 |
Claude Opus 4.6
Anthropic
|
$0.021750 (rounded ~ $0.02) | ↑ 12.1% more | ↓ 92.5% cheaper |
| #27 |
GPT-5.4
OpenAI
|
$0.024250 (rounded ~ $0.02) | ↑ 25% more | ↓ 91.7% cheaper |
| #28 |
GPT-5.4 Thinking
OpenAI
|
$0.024250 (rounded ~ $0.02) | ↑ 25% more | ↓ 91.7% cheaper |
| #29 |
GPT-5.5 Instant
OpenAI
|
$0.024250 (rounded ~ $0.02) | ↑ 25% more | ↓ 91.7% cheaper |
| #30 |
o3 Deep Research
OpenAI
|
$0.038500 (rounded ~ $0.04) | ↑ 98.5% more | ↓ 86.8% cheaper |
| #31 |
GPT-5.5
OpenAI
|
$0.048500 (rounded ~ $0.05) | ↑ 150% more | ↓ 83.3% cheaper |
| #32 |
o3 Pro
OpenAI
|
$0.077000 (rounded ~ $0.08) | ↑ 296.9% more | ↓ 73.5% cheaper |
| #33 |
GPT-5.2 Pro
OpenAI
|
$0.122850 (rounded ~ $0.12) | ↑ 533.2% more | ↓ 57.8% cheaper |
| #34 |
GPT-5.2 Pro
OpenAI
|
$0.122850 (rounded ~ $0.12) | ↑ 533.2% more | ↓ 57.8% cheaper |
Mistral Small 3 Mistral AI
Voxtral Small 24B Mistral AI
Devstral Small 2 Mistral AI
Ministral 3 (14B) Mistral AI
Nemotron 3 Super Mistral AI
Grok Code Fast 1 xAI
Devstral 2 Mistral AI
Gemini 3.1 Flash Lite Google
Mistral Large 3 Mistral AI
Gemini 2.5 Flash Google
Grok 4.3 xAI
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
o4-mini OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
Magistral Medium Mistral AI
Grok 4.20 Beta xAI
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Claude Sonnet 4.6 Anthropic
Gemini 2.5 Pro Google
Claude Opus 4.7 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.5 Instant OpenAI
o3 Deep Research OpenAI
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Advanced Analysis for Legal Education
This comparison pits two powerful enterprise-grade models for detailed analysis within the legal tech domain, particularly for educational use cases. Gemini 3.1 Pro offers extensive multimodal capabilities, including vision and audio, alongside a substantial 2 million token context window, ideal for processing varied educational materials.
GPT-5.4 Pro counters with its sophisticated reasoning engine and 1 million token context, excelling at complex instruction following and nuanced textual understanding critical for legal document analysis. When selecting between them for educational tutoring analysis, consider if multimodal input is essential and weigh Gemini’s broader context against GPT-5.4 Pro’s perceived depth in reasoning for complex legal jargon. Latency and specific fine-tuning needs might also influence the decision.