Gemini 3.1 Pro Google 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.009000
Output: $0.009000
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 1,500 output tokens:
- Input Cost: $0.100000
- Output Cost: $0.009000
- Total Cost: $0.055000 (rounded ~ $0.06)
- Cost per 1K tokens: $0.000542
- Tokens per dollar: 1,845,455 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: 4 minutes, 19.01 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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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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Get my instant AI audit — $39 →Claude Opus 4.7 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.009375
Output: $0.009375
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 1,500 output tokens:
- Input Cost: $0.125000 (rounded ~ $0.13)
- Output Cost: $0.009375
- Total Cost: $0.066875 (rounded ~ $0.07)
- Cost per 1K tokens: $0.000659
- Tokens per dollar: 1,517,757 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 260 tokens per second and 400ms time to first token:
- Processing Time: 6 minutes, 38.37 seconds
- Latency: 400 milliseconds to first token
- Base Throughput: 260 tokens/second
- Effective Throughput: 255 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Claude Opus 4.7. 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 Gemini 3.1 Pro| Rank | AI Model & Provider | Total Cost | vs Gemini 3.1 Pro | vs Claude Opus 4.7 |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.001263 Best Value | ↓ 97.7% cheaper | ↓ 98.1% cheaper |
| 🥈 |
Devstral Small 2
Mistral AI
|
$0.001263 | ↓ 97.7% cheaper | ↓ 98.1% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.003438 | ↓ 93.8% cheaper | ↓ 94.9% cheaper |
| #4 |
Nemotron 3 Super
NVIDIA
|
$0.003758 | ↓ 93.2% cheaper | ↓ 94.4% cheaper |
| #5 |
Gemini 3.5 Flash-Lite
Google
|
$0.004388 | ↓ 92% cheaper | ↓ 93.4% cheaper |
| #6 |
Gemini 2.5 Flash
Google
|
$0.004388 | ↓ 92% cheaper | ↓ 93.4% cheaper |
| #7 |
Devstral 2
Mistral AI
|
$0.004938 | ↓ 91% cheaper | ↓ 92.6% cheaper |
| #8 |
Mistral Large 3
Mistral AI
|
$0.006313 (rounded ~ $0.01) | ↓ 88.5% cheaper | ↓ 90.6% cheaper |
| #9 |
Gemini 3.8 Flash
Google
|
$0.010031 | ↓ 81.8% cheaper | ↓ 85% cheaper |
| #10 |
GPT-5.4 mini
OpenAI
|
$0.010313 | ↓ 81.3% cheaper | ↓ 84.6% cheaper |
| #11 |
o4-mini Deep Research
OpenAI
|
$0.013000 (rounded ~ $0.01) | ↓ 76.4% cheaper | ↓ 80.6% cheaper |
| #12 |
Claude Haiku 4.5
Anthropic
|
$0.013375 (rounded ~ $0.01) | ↓ 75.7% cheaper | ↓ 80% cheaper |
| #13 |
Gemini 3.1 Flash
Google
|
$0.013750 (rounded ~ $0.01) | ↓ 75% cheaper | ↓ 79.4% cheaper |
| #14 |
GPT-5.6 Luna
OpenAI
|
$0.013750 (rounded ~ $0.01) | ↓ 75% cheaper | ↓ 79.4% cheaper |
| #15 |
o4-mini
OpenAI
|
$0.014300 (rounded ~ $0.01) | ↓ 74% cheaper | ↓ 78.6% cheaper |
| #16 |
Gemini 3.6 Flash
Google
|
$0.020063 | ↓ 63.5% cheaper | ↓ 70% cheaper |
| #17 |
Gemini 3.5 Flash
Google
|
$0.020625 | ↓ 62.5% cheaper | ↓ 69.2% cheaper |
| #18 |
Magistral Medium
Mistral AI
|
$0.024875 (rounded ~ $0.02) | ↓ 54.8% cheaper | ↓ 62.8% cheaper |
| #19 |
GPT-5.3 Codex Spark
OpenAI
|
$0.025375 (rounded ~ $0.03) | ↓ 53.9% cheaper | ↓ 62.1% cheaper |
| #20 |
GPT-5.3 Instant
OpenAI
|
$0.025375 (rounded ~ $0.03) | ↓ 53.9% cheaper | ↓ 62.1% cheaper |
| #21 |
Claude Sonnet 5
Anthropic
|
$0.026750 (rounded ~ $0.03) | ↓ 51.4% cheaper | ↓ 60% cheaper |
| #22 |
GPT-5.6 Terra
OpenAI
|
$0.034375 (rounded ~ $0.03) | ↓ 37.5% cheaper | ↓ 48.6% cheaper |
| #23 |
Gemini 2.5 Pro
Google
|
$0.036250 (rounded ~ $0.04) | ↓ 34.1% cheaper | ↓ 45.8% cheaper |
| #24 |
Claude Sonnet 4.6
Anthropic
|
$0.040125 | ↓ 27% cheaper | ↓ 40% cheaper |
| #25 |
Grok 4.3
xAI
|
$0.049000 | ↓ 10.9% cheaper | ↓ 26.7% cheaper |
| #26 |
Grok 4.20 Beta
xAI
|
$0.049000 | ↓ 10.9% cheaper | ↓ 26.7% cheaper |
| #27 |
Claude Opus 4.7
Anthropic
|
$0.066875 (rounded ~ $0.07) | ↑ 21.6% more | Same price |
| #28 |
Claude Opus 5
Anthropic
|
$0.066875 (rounded ~ $0.07) | ↑ 21.6% more | Same price |
| #29 |
Claude Opus 4.8
Anthropic
|
$0.066875 (rounded ~ $0.07) | ↑ 21.6% more | Same price |
| #30 |
Claude Opus 4.6
Anthropic
|
$0.066875 (rounded ~ $0.07) | ↑ 21.6% more | Same price |
| #31 |
GPT-5.4
OpenAI
|
$0.068750 (rounded ~ $0.07) | ↑ 25% more | ↑ 2.8% more |
| #32 |
GPT-5.4 Thinking
OpenAI
|
$0.068750 (rounded ~ $0.07) | ↑ 25% more | ↑ 2.8% more |
| #33 |
GPT-5.5 Instant
OpenAI
|
$0.068750 (rounded ~ $0.07) | ↑ 25% more | ↑ 2.8% more |
| #34 |
GPT-5.6 Sol
OpenAI
|
$0.068750 (rounded ~ $0.07) | ↑ 25% more | ↑ 2.8% more |
| #35 |
Claude Fable 5.1
Anthropic
|
$0.122500 (rounded ~ $0.12) | ↑ 122.7% more | ↑ 83.2% more |
| #36 |
Claude Mythos 5.1
Anthropic
|
$0.122500 (rounded ~ $0.12) | ↑ 122.7% more | ↑ 83.2% more |
| #37 |
o3 Deep Research
OpenAI
|
$0.130000 | ↑ 136.4% more | ↑ 94.4% more |
| #38 |
Claude Fable 5
Anthropic
|
$0.133750 (rounded ~ $0.13) | ↑ 143.2% more | ↑ 100% more |
| #39 |
Claude Mythos 5
Anthropic
|
$0.133750 (rounded ~ $0.13) | ↑ 143.2% more | ↑ 100% more |
| #40 |
GPT-5.5
OpenAI
|
$0.137500 (rounded ~ $0.14) | ↑ 150% more | ↑ 105.6% more |
| #41 |
o3 Pro
OpenAI
|
$0.260000 | ↑ 372.7% more | ↑ 288.8% more |
| #42 |
GPT-6 Astra
OpenAI
|
$0.267500 (rounded ~ $0.27) | ↑ 386.4% more | ↑ 300% more |
| #43 |
GPT-5.2 Pro
OpenAI
|
$0.304500 (rounded ~ $0.30) | ↑ 453.6% more | ↑ 355.3% more |
| #44 |
GPT-5.2 Pro
OpenAI
|
$0.304500 (rounded ~ $0.30) | ↑ 453.6% more | ↑ 355.3% more |
Mistral Small 3 Mistral AI
Devstral Small 2 Mistral AI
Gemini 3.1 Flash Lite Google
Nemotron 3 Super NVIDIA
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Devstral 2 Mistral AI
Mistral Large 3 Mistral AI
Gemini 3.8 Flash Google
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
o4-mini OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Magistral Medium Mistral AI
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Claude Sonnet 5 Anthropic
GPT-5.6 Terra OpenAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
Claude Opus 4.7 Anthropic
Claude Opus 5 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
GPT-5.6 Sol OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
o3 Deep Research OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-6 Astra OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Selecting the Right Model for Clinical Summarization
Choosing between Gemini 3.1 Pro and Claude Opus 4.7 for 100K-token medical record summarization requires a careful look at how these models handle multimodal data and dense, structured reasoning. Both models serve as industry standards, yet they offer distinct advantages for healthcare operations teams aiming to automate documentation.
Gemini 3.1 Pro is a compelling choice when your clinical workflow involves multimodal data. If your medical record summarization includes processing scanned clinical charts, handwritten physician notes, or diagnostic imagery alongside text, Gemini’s native multimodal capabilities provide a significant advantage. It is optimized for extracting insights from dense, schema-rich documents, making it highly effective for summarizing patient histories that span multiple formats and sources. For support leads, this means less time spent manually preparing data before sending it to the model.
On the other hand, Claude Opus 4.7 excels in environments where the priority is complex linguistic reasoning and structural nuance. If your clinical notes require high-level synthesis of medical literature or complex differential diagnosis generation, Claude Opus 4.7 often demonstrates a superior grasp of interpretive intent. It is frequently preferred for tasks that require a precise, scholarly tone or deep synthesis of lengthy, non-visual documentation. While both models handle long-context windows efficiently, the decision often comes down to your integration needs: Gemini’s strength in multimodal extraction versus Claude’s edge in interpretive synthesis. For mid-market healthcare companies, testing both against a sample of your actual EHR data is the recommended path to ensuring the chosen model aligns with your specific documentation style and clinical standard.