Claude Sonnet 5 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.005000 (rounded ~ $0.01)
Output: $0.005000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 50,000 input tokens and 2,000 output tokens:
- Input Cost: $0.025000 (rounded ~ $0.03)
- Output Cost: $0.005000 (rounded ~ $0.01)
- Total Cost: $0.018750 (rounded ~ $0.02)
- Cost per 1K tokens: $0.000361
- Tokens per dollar: 2,773,333 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 460 tokens per second and 195ms time to first token:
- Processing Time: 1 minute, 55.48 seconds
- Latency: 195 milliseconds to first token
- Base Throughput: 460 tokens/second
- Effective Throughput: 451 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to Claude Sonnet 5| Rank | AI Model & Provider | Total Cost | vs Claude Sonnet 5 |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.000838 Best Value | ↓ 95.5% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.002469 | ↓ 86.8% cheaper |
| 🥉 |
Gemini 3.5 Flash-Lite
Google
|
$0.003313 | ↓ 82.3% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.003313 | ↓ 82.3% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.004188 | ↓ 77.7% cheaper |
| #6 |
Gemini 3.8 Flash
Google
|
$0.007031 (rounded ~ $0.01) | ↓ 62.5% cheaper |
| #7 |
GPT-5.4 mini
OpenAI
|
$0.007406 (rounded ~ $0.01) | ↓ 60.5% cheaper |
| #8 |
o4-mini Deep Research
OpenAI
|
$0.008875 (rounded ~ $0.01) | ↓ 52.7% cheaper |
| #9 |
Claude Haiku 4.5
Anthropic
|
$0.009375 | ↓ 50% cheaper |
| #10 |
o4-mini
OpenAI
|
$0.009763 | ↓ 47.9% cheaper |
| #11 |
Gemini 3.1 Flash
Google
|
$0.009875 | ↓ 47.3% cheaper |
| #12 |
GPT-5.6 Luna
OpenAI
|
$0.009875 | ↓ 47.3% cheaper |
| #13 |
Gemini 3.6 Flash
Google
|
$0.014063 (rounded ~ $0.01) | ↓ 25% cheaper |
| #14 |
Gemini 3.5 Flash
Google
|
$0.014813 (rounded ~ $0.01) | ↓ 21% cheaper |
| #15 |
GPT-5.3 Codex Spark
OpenAI
|
$0.019031 | ↑ 1.5% more |
| #16 |
GPT-5.3 Instant
OpenAI
|
$0.019031 | ↑ 1.5% more |
| #17 |
GPT-5.6 Terra
OpenAI
|
$0.024688 (rounded ~ $0.02) | ↑ 31.7% more |
| #18 |
Gemini 2.5 Pro
Google
|
$0.027188 (rounded ~ $0.03) | ↑ 45% more |
| #19 |
Claude Sonnet 4.6
Anthropic
|
$0.028125 (rounded ~ $0.03) | ↑ 50% more |
| #20 |
Grok 4.3
xAI
|
$0.031500 (rounded ~ $0.03) | ↑ 68% more |
| #21 |
Grok 4.20 Beta
xAI
|
$0.031500 (rounded ~ $0.03) | ↑ 68% more |
| #22 |
Gemini 3.1 Pro
Google
|
$0.039500 | ↑ 110.7% more |
| #23 |
Claude Opus 4.7
Anthropic
|
$0.046875 (rounded ~ $0.05) | ↑ 150% more |
| #24 |
Claude Opus 5
Anthropic
|
$0.046875 (rounded ~ $0.05) | ↑ 150% more |
| #25 |
Claude Opus 4.8
Anthropic
|
$0.046875 (rounded ~ $0.05) | ↑ 150% more |
| #26 |
Claude Opus 4.6
Anthropic
|
$0.046875 (rounded ~ $0.05) | ↑ 150% more |
| #27 |
GPT-5.4
OpenAI
|
$0.049375 | ↑ 163.3% more |
| #28 |
GPT-5.4 Thinking
OpenAI
|
$0.049375 | ↑ 163.3% more |
| #29 |
GPT-5.5 Instant
OpenAI
|
$0.049375 | ↑ 163.3% more |
| #30 |
GPT-5.6 Sol
OpenAI
|
$0.049375 | ↑ 163.3% more |
| #31 |
o3 Deep Research
OpenAI
|
$0.088750 (rounded ~ $0.09) | ↑ 373.3% more |
| #32 |
Claude Fable 5.1
Anthropic
|
$0.089063 | ↑ 375% more |
| #33 |
Claude Mythos 5.1
Anthropic
|
$0.089063 | ↑ 375% more |
| #34 |
Claude Fable 5
Anthropic
|
$0.093750 (rounded ~ $0.09) | ↑ 400% more |
| #35 |
Claude Mythos 5
Anthropic
|
$0.093750 (rounded ~ $0.09) | ↑ 400% more |
| #36 |
GPT-5.5
OpenAI
|
$0.098750 (rounded ~ $0.10) | ↑ 426.7% more |
| #37 |
o3 Pro
OpenAI
|
$0.177500 (rounded ~ $0.18) | ↑ 846.7% more |
| #38 |
GPT-6 Astra
OpenAI
|
$0.187500 (rounded ~ $0.19) | ↑ 900% more |
| #39 |
GPT-5.2 Pro
OpenAI
|
$0.228375 (rounded ~ $0.23) | ↑ 1118% more |
| #40 |
GPT-5.2 Pro
OpenAI
|
$0.228375 (rounded ~ $0.23) | ↑ 1118% more |
Mistral Small 3 Mistral AI
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
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
o4-mini OpenAI
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
GPT-5.6 Terra OpenAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 3.1 Pro Google
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
o3 Deep Research OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
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
Claude Sonnet 5 is an ideal choice for clinical note generation due to its reliable instruction following and ability to maintain structured JSON output across complex patient records. For teams requiring consistent clinical documentation, this model’s adaptive thinking allows it to handle the nuances of medical dictation with higher precision than previous generations. Its ability to process large amounts of unstructured text into clean, EMR-ready formats makes it a top-tier candidate for automated medical coding and summarization pipelines. When scaling to 50,000 tokens per batch, the model’s architectural reliability ensures that critical patient data remains accurately mapped, reducing the need for downstream manual verification. The model’s refined handling of long-context inputs means it can synthesize entire patient histories without losing the context required for high-accuracy note generation. Because it reliably adheres to formatting constraints without additional tool-use overhead, it is highly efficient for high-volume, automated workflows where the primary goal is structured consistency. Teams moving from earlier model versions will find that Sonnet 5 significantly reduces the friction in maintaining HIPAA-aligned data integrity while meeting the demanding throughput requirements of modern clinical environments. Its balanced performance ensures that complex medical terminology is accurately represented and categorized, making it a dependable backbone for any healthcare organization automating clinical administrative tasks at scale.