Claude Opus 5 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.012500 (rounded ~ $0.01)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 2,000 output tokens:
- Input Cost: $0.125000 (rounded ~ $0.13)
- Output Cost: $0.012500 (rounded ~ $0.01)
- Total Cost: $0.081250 (rounded ~ $0.08)
- Cost per 1K tokens: $0.000797
- Tokens per dollar: 1,255,385 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: 5 minutes, 46.98 seconds
- Latency: 300 milliseconds to first token
- Base Throughput: 300 tokens/second
- Effective Throughput: 294 tokens/second (temperature-adjusted)
Best Use Cases
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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.
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💰 Total Cost Calculation (from Plugin)
Output: $0.001875
Output: $0.001875
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 2,000 output tokens:
- Input Cost: $0.018750 (rounded ~ $0.02)
- Output Cost: $0.001875
- Total Cost: $0.012188 (rounded ~ $0.01)
- Cost per 1K tokens: $0.000119
- Tokens per dollar: 8,369,231 tokens
- Context Window: 1048576 tokens
Speed & Performance Analysis
With a processing speed of 304 tokens per second and 120ms time to first token:
- Processing Time: 5 minutes, 42.42 seconds
- Latency: 120 milliseconds to first token
- Base Throughput: 304 tokens/second
- Effective Throughput: 298 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Gemini 3.6 Flash. 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 Claude Opus 5| Rank | AI Model & Provider | Total Cost | vs Claude Opus 5 | vs Gemini 3.6 Flash |
|---|---|---|---|---|
| 🏆 |
Claude Haiku 5.5
Anthropic
|
$0.003250 Best Value | ↓ 96% cheaper | ↓ 73.3% cheaper |
| 🥈 |
GPT-6 Luna
OpenAI
|
$0.003250 | ↓ 96% cheaper | ↓ 73.3% cheaper |
| 🥉 |
GPT-5.6 Luna
OpenAI
|
$0.003350 | ↓ 95.9% cheaper | ↓ 72.5% cheaper |
| #4 |
Gemini 3.1 Flash Lite
Google
|
$0.004188 | ↓ 94.8% cheaper | ↓ 65.6% cheaper |
| #5 |
Gemini 3.5 Flash-Lite
Google
|
$0.005375 (rounded ~ $0.01) | ↓ 93.4% cheaper | ↓ 55.9% cheaper |
| #6 |
Gemini 2.5 Flash
Google
|
$0.005375 (rounded ~ $0.01) | ↓ 93.4% cheaper | ↓ 55.9% cheaper |
| #7 |
Mistral Large 3
Mistral AI
|
$0.007625 (rounded ~ $0.01) | ↓ 90.6% cheaper | ↓ 37.4% cheaper |
| #8 |
Gemini 3.8 Flash
Google
|
$0.012188 (rounded ~ $0.01) | ↓ 85% cheaper | Same price |
| #9 |
Gemini 3.6 Flash
Google
|
$0.012188 (rounded ~ $0.01) | ↓ 85% cheaper | Same price |
| #10 |
GPT-5.4 mini
OpenAI
|
$0.012563 (rounded ~ $0.01) | ↓ 84.5% cheaper | ↑ 3.1% more |
| #11 |
Claude Haiku 4.5
Anthropic
|
$0.016250 (rounded ~ $0.02) | ↓ 80% cheaper | ↑ 33.3% more |
| #12 |
Gemini 3.1 Flash
Google
|
$0.016750 (rounded ~ $0.02) | ↓ 79.4% cheaper | ↑ 37.4% more |
| #13 |
Mistral Large 4
Mistral AI
|
$0.020790 | ↓ 74.4% cheaper | ↑ 70.6% more |
| #14 |
GPT-5.3 Codex Spark
OpenAI
|
$0.031063 (rounded ~ $0.03) | ↓ 61.8% cheaper | ↑ 154.9% more |
| #15 |
GPT-5.3 Instant
OpenAI
|
$0.031063 (rounded ~ $0.03) | ↓ 61.8% cheaper | ↑ 154.9% more |
| #16 |
Claude Sonnet 5.5
Anthropic
|
$0.031250 (rounded ~ $0.03) | ↓ 61.5% cheaper | ↑ 156.4% more |
| #17 |
Claude Sonnet 5
Anthropic
|
$0.032500 (rounded ~ $0.03) | ↓ 60% cheaper | ↑ 166.7% more |
| #18 |
Gemini 4 Argon
Google
|
$0.032500 (rounded ~ $0.03) | ↓ 60% cheaper | ↑ 166.7% more |
| #19 |
GPT-5.6 Terra
OpenAI
|
$0.033500 (rounded ~ $0.03) | ↓ 58.8% cheaper | ↑ 174.9% more |
| #20 |
Gemini 2.5 Pro
Google
|
$0.044375 (rounded ~ $0.04) | ↓ 45.4% cheaper | ↑ 264.1% more |
| #21 |
Claude Sonnet 4.6
Anthropic
|
$0.048750 (rounded ~ $0.05) | ↓ 40% cheaper | ↑ 300% more |
| #22 |
Grok 4.3
xAI
|
$0.059000 (rounded ~ $0.06) | ↓ 27.4% cheaper | ↑ 384.1% more |
| #23 |
Grok 4.20 Beta
xAI
|
$0.059000 (rounded ~ $0.06) | ↓ 27.4% cheaper | ↑ 384.1% more |
| #24 |
Claude Opus 5.5
Anthropic
|
$0.062500 (rounded ~ $0.06) | ↓ 23.1% cheaper | ↑ 412.8% more |
| #25 |
GPT-6.1 Sol
OpenAI
|
$0.065000 (rounded ~ $0.07) | ↓ 20% cheaper | ↑ 433.3% more |
| #26 |
GPT-6 Sol
OpenAI
|
$0.065000 (rounded ~ $0.07) | ↓ 20% cheaper | ↑ 433.3% more |
| #27 |
GPT-5.6 Sol
OpenAI
|
$0.065000 (rounded ~ $0.07) | ↓ 20% cheaper | ↑ 433.3% more |
| #28 |
Gemini 3.1 Pro
Google
|
$0.067000 (rounded ~ $0.07) | ↓ 17.5% cheaper | ↑ 449.7% more |
| #29 |
Claude Opus 4.7
Anthropic
|
$0.081250 (rounded ~ $0.08) | Same price | ↑ 566.7% more |
| #30 |
Claude Opus 4.8
Anthropic
|
$0.081250 (rounded ~ $0.08) | Same price | ↑ 566.7% more |
| #31 |
Claude Opus 4.6
Anthropic
|
$0.081250 (rounded ~ $0.08) | Same price | ↑ 566.7% more |
| #32 |
GPT-5.4
OpenAI
|
$0.083750 (rounded ~ $0.08) | ↑ 3.1% more | ↑ 587.2% more |
| #33 |
GPT-5.4 Thinking
OpenAI
|
$0.083750 (rounded ~ $0.08) | ↑ 3.1% more | ↑ 587.2% more |
| #34 |
GPT-5.5 Instant
OpenAI
|
$0.083750 (rounded ~ $0.08) | ↑ 3.1% more | ↑ 587.2% more |
| #35 |
Claude Fable 5.1
Anthropic
|
$0.153125 (rounded ~ $0.15) | ↑ 88.5% more | ↑ 1156.4% more |
| #36 |
Claude Mythos 5.1
Anthropic
|
$0.153125 (rounded ~ $0.15) | ↑ 88.5% more | ↑ 1156.4% more |
| #37 |
Claude Fable 5
Anthropic
|
$0.162500 (rounded ~ $0.16) | ↑ 100% more | ↑ 1233.3% more |
| #38 |
Claude Mythos 5
Anthropic
|
$0.162500 (rounded ~ $0.16) | ↑ 100% more | ↑ 1233.3% more |
| #39 |
GPT-5.5
OpenAI
|
$0.167500 (rounded ~ $0.17) | ↑ 106.2% more | ↑ 1274.4% more |
| #40 |
GPT-6 Astra
OpenAI
|
$0.325000 (rounded ~ $0.33) | ↑ 300% more | ↑ 2566.7% more |
| #41 |
GPT-5.2 Pro
OpenAI
|
$0.372750 (rounded ~ $0.37) | ↑ 358.8% more | ↑ 2958.5% more |
| #42 |
GPT-5.2 Pro
OpenAI
|
$0.372750 (rounded ~ $0.37) | ↑ 358.8% more | ↑ 2958.5% more |
Claude Haiku 5.5 Anthropic
GPT-6 Luna OpenAI
GPT-5.6 Luna OpenAI
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.8 Flash Google
Gemini 3.6 Flash Google
GPT-5.4 mini OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
Mistral Large 4 Mistral AI
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Claude Sonnet 5.5 Anthropic
Claude Sonnet 5 Anthropic
Gemini 4 Argon Google
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 5.5 Anthropic
GPT-6.1 Sol OpenAI
GPT-6 Sol OpenAI
GPT-5.6 Sol OpenAI
Gemini 3.1 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
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
GPT-6 Astra OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Clinical Note Generation: Choosing the Right Engine
For financial analysts and healthcare administrators managing clinical note generation pipelines, the choice between Claude Opus 5 and Gemini 3.6 Flash often comes down to balancing reasoning depth against high-throughput efficiency. Clinical notes are not just text; they are structured, sensitive, and require high-fidelity summarization of doctor-dictated transcripts. Ensuring that medical instructions, patient observations, and billing codes remain accurate is the primary hurdle.
Claude Opus 5 serves as a robust powerhouse for complex medical inference. When clinical workflows demand that an AI understand subtle nuance in physician jargon, cross-reference previous patient history, or manage long-form, multi-step reasoning, Opus 5 provides a higher baseline for structural adherence. It is particularly effective when the pipeline requires the model to act as a reasoning agent, validating logic and ensuring that the final output aligns with standard clinical documentation formats.
Gemini 3.6 Flash, conversely, excels in high-volume, cost-sensitive environments. If your clinical note pipeline handles tens of thousands of notes daily—where latency and rapid processing are more critical than the deepest possible reasoning—Gemini 3.6 Flash is likely the superior fit. Its architecture is optimized for speed, making it exceptionally reliable for standard transcription-to-note conversion tasks. While it remains highly capable, the trade-off is often seen in its approach to extremely complex, multi-layered reasoning tasks where Opus might offer more depth. For MVP-stage clinical tools, starting with Flash allows for rapid iteration and scaling before moving to more intensive reasoning models.