Gemini 3.1 Pro Google 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.045000 (rounded ~ $0.05)
Output: $0.045000 (rounded ~ $0.05)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Multimodal Input Details
Resolution: Medium
Tokens: 25,800
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 5,000 output tokens:
- Input Cost: $1.051600 (rounded ~ $1.05)
- Output Cost: $0.045000 (rounded ~ $0.05)
- Total Cost: $1.096600 (rounded ~ $1.10)
- Cost per 1K tokens: $0.002066
- Tokens per dollar: 484,042 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: 22 minutes, 33.72 seconds
- Latency: 220 milliseconds to first token
- Base Throughput: 400 tokens/second
- Effective Throughput: 392 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to Gemini 3.1 Pro| Rank | AI Model & Provider | Total Cost | vs Gemini 3.1 Pro |
|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.034738 (rounded ~ $0.03) Best Value | ↓ 96.8% cheaper |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.042560 (rounded ~ $0.04) | ↓ 96.1% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.042560 (rounded ~ $0.04) | ↓ 96.1% cheaper |
| #4 |
Llama 4 Maverick (400B)
Meta AI
|
$0.090075 | ↓ 91.8% cheaper |
| #5 |
Gemini 3.8 Flash
Google
|
$0.103275 (rounded ~ $0.10) | ↓ 90.6% cheaper |
| #6 |
GPT-5.6 Luna
OpenAI
|
$0.138950 (rounded ~ $0.14) | ↓ 87.3% cheaper |
| #7 |
Gemini 3.6 Flash
Google
|
$0.206550 (rounded ~ $0.21) | ↓ 81.2% cheaper |
| #8 |
Gemini 3.5 Flash
Google
|
$0.208425 (rounded ~ $0.21) | ↓ 81% cheaper |
| #9 |
Claude Sonnet 5
Anthropic
|
$0.275400 (rounded ~ $0.28) | ↓ 74.9% cheaper |
| #10 |
Gemini 3.1 Flash
Google
|
$0.277900 (rounded ~ $0.28) | ↓ 74.7% cheaper |
| #11 |
GPT-5.6 Terra
OpenAI
|
$0.347375 (rounded ~ $0.35) | ↓ 68.3% cheaper |
| #12 |
Claude Sonnet 4.6
Anthropic
|
$0.413100 (rounded ~ $0.41) | ↓ 62.3% cheaper |
| #13 |
Claude Opus 4.7
Anthropic
|
$0.688500 (rounded ~ $0.69) | ↓ 37.2% cheaper |
| #14 |
Claude Opus 5
Anthropic
|
$0.688500 (rounded ~ $0.69) | ↓ 37.2% cheaper |
| #15 |
Claude Opus 4.8
Anthropic
|
$0.688500 (rounded ~ $0.69) | ↓ 37.2% cheaper |
| #16 |
Claude Opus 4.6
Anthropic
|
$0.688500 (rounded ~ $0.69) | ↓ 37.2% cheaper |
| #17 |
Gemini 2.5 Pro
Google
|
$0.694750 (rounded ~ $0.69) | ↓ 36.6% cheaper |
| #18 |
GPT-5.6 Sol
OpenAI
|
$0.694750 (rounded ~ $0.69) | ↓ 36.6% cheaper |
| #19 |
Grok 4.3
xAI
|
$1.071600 (rounded ~ $1.07) | ↓ 2.3% cheaper |
| #20 |
GPT-5.4
OpenAI
|
$1.370750 | ↑ 25% more |
| #21 |
GPT-5.4 Thinking
OpenAI
|
$1.370750 | ↑ 25% more |
| #22 |
Claude Fable 5.1
Anthropic
|
$1.377000 (rounded ~ $1.38) | ↑ 25.6% more |
| #23 |
Claude Mythos 5.1
Anthropic
|
$1.377000 (rounded ~ $1.38) | ↑ 25.6% more |
| #24 |
Claude Fable 5
Anthropic
|
$1.377000 (rounded ~ $1.38) | ↑ 25.6% more |
| #25 |
Claude Mythos 5
Anthropic
|
$1.377000 (rounded ~ $1.38) | ↑ 25.6% more |
| #26 |
GPT-5.5
OpenAI
|
$2.741500 (rounded ~ $2.74) | ↑ 150% more |
| #27 |
GPT-5.5 Pro
OpenAI
|
$4.168500 (rounded ~ $4.17) | ↑ 280.1% more |
| #28 |
GPT-6 Astra
OpenAI
|
$5.508000 (rounded ~ $5.51) | ↑ 402.3% more |
| #29 |
GPT-6 Astra
OpenAI
|
$5.508000 (rounded ~ $5.51) | ↑ 402.3% more |
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Llama 4 Maverick (400B) Meta AI
Gemini 3.8 Flash Google
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Claude Sonnet 5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
Gemini 2.5 Pro Google
GPT-5.6 Sol OpenAI
Grok 4.3 xAI
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
GPT-5.5 Pro OpenAI
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
Massive Visual Data Intelligence
Leverage the 2M context window to process high-resolution satellite imagery. Calculate the cost of geospatial feature extraction and environmental change detection.