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
Detailed Cost Analysis (from Plugin)
For 10,000 input tokens and 500 output tokens:
- Input Cost: $0.020000
- Output Cost: $0.005000 (rounded ~ $0.01)
- Total Cost: $0.014200 (rounded ~ $0.01)
- Cost per 1K tokens: $0.001352
- Tokens per dollar: 739,437 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: 24.60 seconds
- Latency: 195 milliseconds to first token
- Base Throughput: 460 tokens/second
- Effective Throughput: 430 tokens/second (temperature-adjusted)
Best Use Cases
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This calculator shows the math for Claude Sonnet 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: $0.002000
Output: $0.002000
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 10,000 input tokens and 500 output tokens:
- Input Cost: $0.009500
- Output Cost: $0.002000
- Total Cost: $0.006769 (rounded ~ $0.01)
- Cost per 1K tokens: $0.000645
- Tokens per dollar: 1,551,189 tokens
- Context Window: 262144 tokens
Speed & Performance Analysis
With a processing speed of 185 tokens per second and 235ms time to first token:
- Processing Time: 1 minute, 0.91 seconds
- Latency: 235 milliseconds to first token
- Base Throughput: 185 tokens/second
- Effective Throughput: 173 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Kimi K2.7 Code. 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 Sonnet 5| Rank | AI Model & Provider | Total Cost | vs Claude Sonnet 5 | vs Kimi K2.7 Code |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.000610 Best Value | ↓ 95.7% cheaper | ↓ 91% cheaper |
| 🥈 |
Grok Code Fast 1
xAI
|
$0.001670 | ↓ 88.2% cheaper | ↓ 75.3% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.001900 | ↓ 86.6% cheaper | ↓ 71.9% cheaper |
| #4 |
Gemini 3.5 Flash-Lite
Google
|
$0.002630 | ↓ 81.5% cheaper | ↓ 61.1% cheaper |
| #5 |
Gemini 2.5 Flash
Google
|
$0.002630 | ↓ 81.5% cheaper | ↓ 61.1% cheaper |
| #6 |
Mistral Large 3
Mistral AI
|
$0.003050 | ↓ 78.5% cheaper | ↓ 54.9% cheaper |
| #7 |
Gemini 3.1 Flash
Google
|
$0.003800 | ↓ 73.2% cheaper | ↓ 43.9% cheaper |
| #8 |
Kimi K2.5
Moonshot AI
|
$0.004512 | ↓ 68.2% cheaper | ↓ 33.3% cheaper |
| #9 |
Gemini 3.8 Flash
Google
|
$0.005325 (rounded ~ $0.01) | ↓ 62.5% cheaper | ↓ 21.3% cheaper |
| #10 |
Grok Build 0.1
xAI
|
$0.005600 (rounded ~ $0.01) | ↓ 60.6% cheaper | ↓ 17.3% cheaper |
| #11 |
GPT-5.4 mini
OpenAI
|
$0.005700 (rounded ~ $0.01) | ↓ 59.9% cheaper | ↓ 15.8% cheaper |
| #12 |
o4-mini Deep Research
OpenAI
|
$0.006600 (rounded ~ $0.01) | ↓ 53.5% cheaper | ↓ 2.5% cheaper |
| #13 |
Kimi K2.6
Moonshot AI
|
$0.006769 (rounded ~ $0.01) | ↓ 52.3% cheaper | Same price |
| #14 |
Kimi K2.7 Code
Moonshot AI
|
$0.006769 (rounded ~ $0.01) | ↓ 52.3% cheaper | Same price |
| #15 |
Grok 4.3
xAI
|
$0.007000 (rounded ~ $0.01) | ↓ 50.7% cheaper | ↑ 3.4% more |
| #16 |
Grok 4.20 Beta
xAI
|
$0.007000 (rounded ~ $0.01) | ↓ 50.7% cheaper | ↑ 3.4% more |
| #17 |
Claude Haiku 4.5
Anthropic
|
$0.007100 (rounded ~ $0.01) | ↓ 50% cheaper | ↑ 4.9% more |
| #18 |
o4-mini
OpenAI
|
$0.007260 (rounded ~ $0.01) | ↓ 48.9% cheaper | ↑ 7.3% more |
| #19 |
GPT-5.6 Luna
OpenAI
|
$0.007600 (rounded ~ $0.01) | ↓ 46.5% cheaper | ↑ 12.3% more |
| #20 |
Gemini 3.6 Flash
Google
|
$0.010650 | ↓ 25% cheaper | ↑ 57.3% more |
| #21 |
Gemini 2.5 Pro
Google
|
$0.010750 | ↓ 24.3% cheaper | ↑ 58.8% more |
| #22 |
Gemini 3.5 Flash
Google
|
$0.011400 (rounded ~ $0.01) | ↓ 19.7% cheaper | ↑ 68.4% more |
| #23 |
Grok 4.6
xAI
|
$0.012200 (rounded ~ $0.01) | ↓ 14.1% cheaper | ↑ 80.2% more |
| #24 |
Grok 4.5
xAI
|
$0.012200 (rounded ~ $0.01) | ↓ 14.1% cheaper | ↑ 80.2% more |
| #25 |
GPT-5.3 Codex Spark
OpenAI
|
$0.015050 (rounded ~ $0.02) | ↑ 6% more | ↑ 122.3% more |
| #26 |
GPT-5.3 Instant
OpenAI
|
$0.015050 (rounded ~ $0.02) | ↑ 6% more | ↑ 122.3% more |
| #27 |
Gemini 3.1 Pro
Google
|
$0.015200 (rounded ~ $0.02) | ↑ 7% more | ↑ 124.6% more |
| #28 |
GPT-5.4
OpenAI
|
$0.019000 | ↑ 33.8% more | ↑ 180.7% more |
| #29 |
GPT-5.4 Thinking
OpenAI
|
$0.019000 | ↑ 33.8% more | ↑ 180.7% more |
| #30 |
GPT-5.6 Terra
OpenAI
|
$0.019000 | ↑ 33.8% more | ↑ 180.7% more |
| #31 |
Claude Sonnet 4.6
Anthropic
|
$0.021300 (rounded ~ $0.02) | ↑ 50% more | ↑ 214.7% more |
| #32 |
Claude Opus 4.7
Anthropic
|
$0.035500 (rounded ~ $0.04) | ↑ 150% more | ↑ 424.4% more |
| #33 |
Claude Opus 5
Anthropic
|
$0.035500 (rounded ~ $0.04) | ↑ 150% more | ↑ 424.4% more |
| #34 |
Claude Opus 4.8
Anthropic
|
$0.035500 (rounded ~ $0.04) | ↑ 150% more | ↑ 424.4% more |
| #35 |
Claude Opus 4.6
Anthropic
|
$0.035500 (rounded ~ $0.04) | ↑ 150% more | ↑ 424.4% more |
| #36 |
GPT-5.5
OpenAI
|
$0.038000 (rounded ~ $0.04) | ↑ 167.6% more | ↑ 461.4% more |
| #37 |
GPT-5.5 Instant
OpenAI
|
$0.038000 (rounded ~ $0.04) | ↑ 167.6% more | ↑ 461.4% more |
| #38 |
GPT-5.6 Sol
OpenAI
|
$0.038000 (rounded ~ $0.04) | ↑ 167.6% more | ↑ 461.4% more |
| #39 |
o3 Deep Research
OpenAI
|
$0.066000 (rounded ~ $0.07) | ↑ 364.8% more | ↑ 875% more |
| #40 |
Claude Fable 5.1
Anthropic
|
$0.066500 (rounded ~ $0.07) | ↑ 368.3% more | ↑ 882.4% more |
| #41 |
Claude Mythos 5.1
Anthropic
|
$0.066500 (rounded ~ $0.07) | ↑ 368.3% more | ↑ 882.4% more |
| #42 |
Claude Fable 5
Anthropic
|
$0.071000 (rounded ~ $0.07) | ↑ 400% more | ↑ 948.9% more |
| #43 |
Claude Mythos 5
Anthropic
|
$0.071000 (rounded ~ $0.07) | ↑ 400% more | ↑ 948.9% more |
| #44 |
GPT-6 Astra
OpenAI
|
$0.071000 (rounded ~ $0.07) | ↑ 400% more | ↑ 948.9% more |
| #45 |
o3 Pro
OpenAI
|
$0.132000 (rounded ~ $0.13) | ↑ 829.6% more | ↑ 1850.1% more |
| #46 |
GPT-5.2 Pro
OpenAI
|
$0.180600 | ↑ 1171.8% more | ↑ 2568% more |
| #47 |
GPT-5.2 Pro
OpenAI
|
$0.180600 | ↑ 1171.8% more | ↑ 2568% more |
Mistral Small 3 Mistral AI
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.1 Flash Google
Kimi K2.5 Moonshot AI
Gemini 3.8 Flash Google
Grok Build 0.1 xAI
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Kimi K2.6 Moonshot AI
Kimi K2.7 Code Moonshot AI
Grok 4.3 xAI
Grok 4.20 Beta xAI
Claude Haiku 4.5 Anthropic
o4-mini OpenAI
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Gemini 2.5 Pro Google
Gemini 3.5 Flash Google
Grok 4.6 xAI
Grok 4.5 xAI
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
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
GPT-5.5 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-6 Astra OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Selecting Coding Models for Enterprise Healthcare SaaS
Selecting the right AI assistant for healthcare development requires more than just raw power; it demands models that provide consistent, secure outputs suitable for complex medical application environments. Claude Sonnet 5 and Kimi K2.7 Code both offer compelling, yet distinct, benefits for teams scaling their code generation workflows to 10M-monthly token volumes.
Claude Sonnet 5 is the choice for teams prioritizing deep reasoning and complex instruction following. Its advanced capability to maintain coherence over large codebases makes it indispensable for refactoring complex clinical decision support systems where the logic spans thousands of files. When healthcare admins need to ensure that automated code generation aligns with strict internal security protocols and medical coding standards, Sonnet 5’s ability to verify its own logic provides an extra layer of assurance.
Conversely, Kimi K2.7 Code offers a specialized edge in efficiency and task completion speed. Its architecture has been fine-tuned specifically for coding-agent workflows, significantly reducing the overhead associated with thinking processes during standard IDE interactions. For teams needing to maximize throughput without sacrificing accuracy, Kimi K2.7 Code often delivers faster, more concise suggestions that integrate well with existing CI/CD pipelines. Choosing between the two often comes down to the specific nature of your clinical software: if your priority is long-horizon reasoning and highly complex architectural changes, Claude Sonnet 5 is the superior candidate; for routine, high-volume development tasks where efficiency is the primary metric, Kimi K2.7 Code provides a faster, cost-effective alternative for ongoing maintenance.