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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💰 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
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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 |
|---|---|---|---|---|
| 🏆 |
Claude Haiku 5.5
Anthropic
|
$0.000710 Best Value | ↓ 95% cheaper | ↓ 89.5% cheaper |
| 🥈 |
GPT-6 Luna
OpenAI
|
$0.000710 | ↓ 95% cheaper | ↓ 89.5% cheaper |
| 🥉 |
GPT-5.6 Luna
OpenAI
|
$0.001520 | ↓ 89.3% cheaper | ↓ 77.5% cheaper |
| #4 |
Grok Code Fast 1
xAI
|
$0.001670 | ↓ 88.2% cheaper | ↓ 75.3% cheaper |
| #5 |
Gemini 3.1 Flash Lite
Google
|
$0.001900 | ↓ 86.6% cheaper | ↓ 71.9% cheaper |
| #6 |
Gemini 3.5 Flash-Lite
Google
|
$0.002630 | ↓ 81.5% cheaper | ↓ 61.1% cheaper |
| #7 |
Gemini 2.5 Flash
Google
|
$0.002630 | ↓ 81.5% cheaper | ↓ 61.1% cheaper |
| #8 |
Mistral Large 3
Mistral AI
|
$0.003050 | ↓ 78.5% cheaper | ↓ 54.9% cheaper |
| #9 |
Gemini 3.1 Flash
Google
|
$0.003800 | ↓ 73.2% cheaper | ↓ 43.9% cheaper |
| #10 |
Gemini 3.8 Flash
Google
|
$0.005325 (rounded ~ $0.01) | ↓ 62.5% cheaper | ↓ 21.3% cheaper |
| #11 |
Gemini 3.6 Flash
Google
|
$0.005325 (rounded ~ $0.01) | ↓ 62.5% cheaper | ↓ 21.3% cheaper |
| #12 |
Grok Build 0.1
xAI
|
$0.005600 (rounded ~ $0.01) | ↓ 60.6% cheaper | ↓ 17.3% cheaper |
| #13 |
GPT-5.4 mini
OpenAI
|
$0.005700 (rounded ~ $0.01) | ↓ 59.9% cheaper | ↓ 15.8% cheaper |
| #14 |
Grok 4.3
xAI
|
$0.007000 (rounded ~ $0.01) | ↓ 50.7% cheaper | ↑ 3.4% more |
| #15 |
Grok 4.20 Beta
xAI
|
$0.007000 (rounded ~ $0.01) | ↓ 50.7% cheaper | ↑ 3.4% more |
| #16 |
Claude Haiku 4.5
Anthropic
|
$0.007100 (rounded ~ $0.01) | ↓ 50% cheaper | ↑ 4.9% more |
| #17 |
Mistral Large 4
Mistral AI
|
$0.008346 (rounded ~ $0.01) | ↓ 41.2% cheaper | ↑ 23.3% more |
| #18 |
Gemini 2.5 Pro
Google
|
$0.010750 | ↓ 24.3% cheaper | ↑ 58.8% more |
| #19 |
Grok 4.7
xAI
|
$0.012200 (rounded ~ $0.01) | ↓ 14.1% cheaper | ↑ 80.2% more |
| #20 |
Grok 4.6
xAI
|
$0.012200 (rounded ~ $0.01) | ↓ 14.1% cheaper | ↑ 80.2% more |
| #21 |
Grok 4.5
xAI
|
$0.012200 (rounded ~ $0.01) | ↓ 14.1% cheaper | ↑ 80.2% more |
| #22 |
Claude Sonnet 5.5
Anthropic
|
$0.013600 (rounded ~ $0.01) | ↓ 4.2% cheaper | ↑ 100.9% more |
| #23 |
Gemini 4 Argon
Google
|
$0.014200 (rounded ~ $0.01) | Same price | ↑ 109.8% more |
| #24 |
GPT-6.1 Sol
OpenAI
|
$0.014200 (rounded ~ $0.01) | Same price | ↑ 109.8% more |
| #25 |
GPT-6 Sol
OpenAI
|
$0.014200 (rounded ~ $0.01) | Same price | ↑ 109.8% more |
| #26 |
Kimi K3.1 Pro
Moonshot AI
|
$0.015040 (rounded ~ $0.02) | ↑ 5.9% more | ↑ 122.2% more |
| #27 |
GPT-5.3 Codex Spark
OpenAI
|
$0.015050 (rounded ~ $0.02) | ↑ 6% more | ↑ 122.3% more |
| #28 |
GPT-5.3 Instant
OpenAI
|
$0.015050 (rounded ~ $0.02) | ↑ 6% more | ↑ 122.3% more |
| #29 |
Gemini 3.1 Pro
Google
|
$0.015200 (rounded ~ $0.02) | ↑ 7% more | ↑ 124.6% more |
| #30 |
GPT-5.6 Terra
OpenAI
|
$0.015200 (rounded ~ $0.02) | ↑ 7% more | ↑ 124.6% more |
| #31 |
GPT-5.4
OpenAI
|
$0.019000 | ↑ 33.8% more | ↑ 180.7% more |
| #32 |
GPT-5.4 Thinking
OpenAI
|
$0.019000 | ↑ 33.8% more | ↑ 180.7% more |
| #33 |
Claude Sonnet 4.6
Anthropic
|
$0.021300 (rounded ~ $0.02) | ↑ 50% more | ↑ 214.7% more |
| #34 |
Kimi K3
Moonshot AI
|
$0.022560 (rounded ~ $0.02) | ↑ 58.9% more | ↑ 233.3% more |
| #35 |
Claude Opus 5.5
Anthropic
|
$0.027200 (rounded ~ $0.03) | ↑ 91.5% more | ↑ 301.8% more |
| #36 |
GPT-5.6 Sol
OpenAI
|
$0.028400 (rounded ~ $0.03) | ↑ 100% more | ↑ 319.6% more |
| #37 |
Claude Opus 4.7
Anthropic
|
$0.035500 (rounded ~ $0.04) | ↑ 150% more | ↑ 424.4% more |
| #38 |
Claude Opus 5
Anthropic
|
$0.035500 (rounded ~ $0.04) | ↑ 150% more | ↑ 424.4% more |
| #39 |
Claude Opus 4.8
Anthropic
|
$0.035500 (rounded ~ $0.04) | ↑ 150% more | ↑ 424.4% more |
| #40 |
Claude Opus 4.6
Anthropic
|
$0.035500 (rounded ~ $0.04) | ↑ 150% more | ↑ 424.4% more |
| #41 |
GPT-5.5
OpenAI
|
$0.038000 (rounded ~ $0.04) | ↑ 167.6% more | ↑ 461.4% more |
| #42 |
GPT-5.5 Instant
OpenAI
|
$0.038000 (rounded ~ $0.04) | ↑ 167.6% more | ↑ 461.4% more |
| #43 |
Muse Wonder 1.0
Meta AI
|
$0.050000 | ↑ 252.1% more | ↑ 638.7% more |
| #44 |
Claude Fable 5.1
Anthropic
|
$0.066500 (rounded ~ $0.07) | ↑ 368.3% more | ↑ 882.4% more |
| #45 |
Claude Mythos 5.1
Anthropic
|
$0.066500 (rounded ~ $0.07) | ↑ 368.3% more | ↑ 882.4% more |
| #46 |
Claude Fable 5
Anthropic
|
$0.071000 (rounded ~ $0.07) | ↑ 400% more | ↑ 948.9% more |
| #47 |
Claude Mythos 5
Anthropic
|
$0.071000 (rounded ~ $0.07) | ↑ 400% more | ↑ 948.9% more |
| #48 |
GPT-6 Astra
OpenAI
|
$0.071000 (rounded ~ $0.07) | ↑ 400% more | ↑ 948.9% more |
| #49 |
GPT-5.2 Pro
OpenAI
|
$0.180600 | ↑ 1171.8% more | ↑ 2568% more |
| #50 |
GPT-5.2 Pro
OpenAI
|
$0.180600 | ↑ 1171.8% more | ↑ 2568% more |
Claude Haiku 5.5 Anthropic
GPT-6 Luna OpenAI
GPT-5.6 Luna OpenAI
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
Gemini 3.8 Flash Google
Gemini 3.6 Flash Google
Grok Build 0.1 xAI
GPT-5.4 mini OpenAI
Grok 4.3 xAI
Grok 4.20 Beta xAI
Claude Haiku 4.5 Anthropic
Mistral Large 4 Mistral AI
Gemini 2.5 Pro Google
Grok 4.7 xAI
Grok 4.6 xAI
Grok 4.5 xAI
Claude Sonnet 5.5 Anthropic
Gemini 4 Argon Google
GPT-6.1 Sol OpenAI
GPT-6 Sol OpenAI
Kimi K3.1 Pro Moonshot AI
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Gemini 3.1 Pro Google
GPT-5.6 Terra OpenAI
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Sonnet 4.6 Anthropic
Kimi K3 Moonshot AI
Claude Opus 5.5 Anthropic
GPT-5.6 Sol OpenAI
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
Muse Wonder 1.0 Meta AI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-6 Astra 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.