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 500,000 input tokens and 2,000 output tokens:
- Input Cost: $0.250000
- Output Cost: $0.005000 (rounded ~ $0.01)
- Total Cost: $0.165000 (rounded ~ $0.17)
- Cost per 1K tokens: $0.000329
- Tokens per dollar: 3,042,424 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: 18 minutes, 44.22 seconds
- Latency: 195 milliseconds to first token
- Base Throughput: 460 tokens/second
- Effective Throughput: 447 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: $0.003960
Output: $0.003960
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 2,000 output tokens:
- Input Cost: $0.330000
- Output Cost: $0.003960
- Total Cost: $0.204600 (rounded ~ $0.20)
- Cost per 1K tokens: $0.000408
- Tokens per dollar: 2,453,568 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 300 tokens per second and 180ms time to first token:
- Processing Time: 28 minutes, 43.71 seconds
- Latency: 180 milliseconds to first token
- Base Throughput: 300 tokens/second
- Effective Throughput: 291 tokens/second (temperature-adjusted)
Best Use Cases
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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 DeepSeek V4 Pro |
|---|---|---|---|---|
| 🏆 |
GPT-5.6 Luna
OpenAI
|
$0.016600 (rounded ~ $0.02) Best Value | ↓ 89.9% cheaper | ↓ 91.9% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.020750 | ↓ 87.4% cheaper | ↓ 89.9% cheaper |
| 🥉 |
Gemini 3.5 Flash-Lite
Google
|
$0.025250 (rounded ~ $0.03) | ↓ 84.7% cheaper | ↓ 87.7% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.025250 (rounded ~ $0.03) | ↓ 84.7% cheaper | ↓ 87.7% cheaper |
| #5 |
GPT-6 Luna
OpenAI
|
$0.032750 (rounded ~ $0.03) | ↓ 80.2% cheaper | ↓ 84% cheaper |
| #6 |
Gemini 3.8 Flash
Google
|
$0.061875 (rounded ~ $0.06) | ↓ 62.5% cheaper | ↓ 69.8% cheaper |
| #7 |
Gemini 3.6 Flash
Google
|
$0.061875 (rounded ~ $0.06) | ↓ 62.5% cheaper | ↓ 69.8% cheaper |
| #8 |
Claude Haiku 5.5
Anthropic
|
$0.082500 (rounded ~ $0.08) | ↓ 50% cheaper | ↓ 59.7% cheaper |
| #9 |
Mistral Large 4
Mistral AI
|
$0.110890 | ↓ 32.8% cheaper | ↓ 45.8% cheaper |
| #10 |
Claude Sonnet 5.5
Anthropic
|
$0.160000 | ↓ 3% cheaper | ↓ 21.8% cheaper |
| #11 |
Gemini 4 Argon
Google
|
$0.165000 (rounded ~ $0.17) | Same price | ↓ 19.4% cheaper |
| #12 |
Gemini 3.1 Flash
Google
|
$0.166000 (rounded ~ $0.17) | ↑ 0.6% more | ↓ 18.9% cheaper |
| #13 |
GPT-5.6 Terra
OpenAI
|
$0.166000 (rounded ~ $0.17) | ↑ 0.6% more | ↓ 18.9% cheaper |
| #14 |
Claude Sonnet 4.6
Anthropic
|
$0.247500 (rounded ~ $0.25) | ↑ 50% more | ↑ 21% more |
| #15 |
Claude Opus 5.5
Anthropic
|
$0.320000 | ↑ 93.9% more | ↑ 56.4% more |
| #16 |
GPT-5.6 Sol
OpenAI
|
$0.330000 | ↑ 100% more | ↑ 61.3% more |
| #17 |
Claude Opus 4.7
Anthropic
|
$0.412500 (rounded ~ $0.41) | ↑ 150% more | ↑ 101.6% more |
| #18 |
Claude Opus 5
Anthropic
|
$0.412500 (rounded ~ $0.41) | ↑ 150% more | ↑ 101.6% more |
| #19 |
Claude Opus 4.8
Anthropic
|
$0.412500 (rounded ~ $0.41) | ↑ 150% more | ↑ 101.6% more |
| #20 |
Claude Opus 4.6
Anthropic
|
$0.412500 (rounded ~ $0.41) | ↑ 150% more | ↑ 101.6% more |
| #21 |
Gemini 2.5 Pro
Google
|
$0.415000 (rounded ~ $0.42) | ↑ 151.5% more | ↑ 102.8% more |
| #22 |
Grok 4.3
xAI
|
$0.648000 (rounded ~ $0.65) | ↑ 292.7% more | ↑ 216.7% more |
| #23 |
Grok 4.20 Beta
xAI
|
$0.648000 (rounded ~ $0.65) | ↑ 292.7% more | ↑ 216.7% more |
| #24 |
GPT-6.1 Sol
OpenAI
|
$0.655000 (rounded ~ $0.66) | ↑ 297% more | ↑ 220.1% more |
| #25 |
GPT-6 Sol
OpenAI
|
$0.655000 (rounded ~ $0.66) | ↑ 297% more | ↑ 220.1% more |
| #26 |
Gemini 3.1 Pro
Google
|
$0.658000 (rounded ~ $0.66) | ↑ 298.8% more | ↑ 221.6% more |
| #27 |
Claude Fable 5.1
Anthropic
|
$0.787500 (rounded ~ $0.79) | ↑ 377.3% more | ↑ 284.9% more |
| #28 |
Claude Mythos 5.1
Anthropic
|
$0.787500 (rounded ~ $0.79) | ↑ 377.3% more | ↑ 284.9% more |
| #29 |
GPT-5.4
OpenAI
|
$0.822500 (rounded ~ $0.82) | ↑ 398.5% more | ↑ 302% more |
| #30 |
GPT-5.4 Thinking
OpenAI
|
$0.822500 (rounded ~ $0.82) | ↑ 398.5% more | ↑ 302% more |
| #31 |
Claude Fable 5
Anthropic
|
$0.825000 (rounded ~ $0.83) | ↑ 400% more | ↑ 303.2% more |
| #32 |
Claude Mythos 5
Anthropic
|
$0.825000 (rounded ~ $0.83) | ↑ 400% more | ↑ 303.2% more |
| #33 |
GPT-5.5
OpenAI
|
$1.645000 (rounded ~ $1.65) | ↑ 897% more | ↑ 704% more |
| #34 |
GPT-6 Astra
OpenAI
|
$3.300000 | ↑ 1900% more | ↑ 1512.9% more |
| #35 |
GPT-6 Astra
OpenAI
|
$3.300000 | ↑ 1900% more | ↑ 1512.9% more |
GPT-5.6 Luna OpenAI
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
GPT-6 Luna OpenAI
Gemini 3.8 Flash Google
Gemini 3.6 Flash Google
Claude Haiku 5.5 Anthropic
Mistral Large 4 Mistral AI
Claude Sonnet 5.5 Anthropic
Gemini 4 Argon Google
Gemini 3.1 Flash Google
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
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
Gemini 2.5 Pro Google
Grok 4.3 xAI
Grok 4.20 Beta xAI
GPT-6.1 Sol OpenAI
GPT-6 Sol OpenAI
Gemini 3.1 Pro Google
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
As localization teams scale their codebase, managing pull requests containing hundreds of thousands of lines of code—including resource strings, UI keys, and translation files—becomes a bottleneck. Evaluating models for code review pipelines requires balancing raw reasoning power with the ability to handle large, multi-file diffs without losing context. Claude Sonnet 5 stands out for its agentic capabilities; it excels at complex instruction following, making it highly effective for identifying I18n inconsistencies or missing localization keys across deeply nested file structures. It behaves like a senior reviewer who understands the intent behind the code.
DeepSeek V4 Pro, by contrast, offers a distinct advantage in throughput and reasoning efficiency. For teams that prioritize rapid feedback loops, DeepSeek V4 Pro provides a high-performance alternative that is particularly adept at identifying structural regressions and logic errors in dense diffs. While Claude Sonnet 5 may offer more nuance when interpreting custom project-specific conventions, DeepSeek V4 Pro is often the more pragmatic choice for high-volume, automated PR analysis where speed and consistency are the primary metrics. Choosing between these models often comes down to the nature of your codebase: if your PRs require deep architectural understanding or complex multi-file reasoning, Claude Sonnet 5 is the superior choice. If your pipeline is designed for high-frequency, automated validation of standard localization and syntax patterns, DeepSeek V4 Pro often delivers the most reliable performance for the cost.