Claude Sonnet 5 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.001500
Output: $0.001500
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 1,000 input tokens and 600 output tokens:
- Input Cost: $0.000500
- Output Cost: $0.001500
- Total Cost: $0.001730
- Cost per 1K tokens: $0.001081
- Tokens per dollar: 924,855 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: 3.90 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: $0.000563
Output: $0.000563
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 1,000 input tokens and 600 output tokens:
- Input Cost: $0.000188
- Output Cost: $0.000563
- Total Cost: $0.000649
- Cost per 1K tokens: $0.000405
- Tokens per dollar: 2,466,281 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: 5.81 seconds
- Latency: 120 milliseconds to first token
- Base Throughput: 304 tokens/second
- Effective Throughput: 284 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 Sonnet 5| Rank | AI Model & Provider | Total Cost | vs Claude Sonnet 5 | vs Gemini 3.6 Flash |
|---|---|---|---|---|
| 🏆 |
Claude Haiku 5.5
Anthropic
|
$0.000173 Best Value | ↓ 90% cheaper | ↓ 73.3% cheaper |
| 🥈 |
GPT-6 Luna
OpenAI
|
$0.000173 | ↓ 90% cheaper | ↓ 73.3% cheaper |
| 🥉 |
GPT-5.6 Luna
OpenAI
|
$0.000203 | ↓ 88.3% cheaper | ↓ 68.7% cheaper |
| #4 |
Gemini 3.1 Flash Lite
Google
|
$0.000254 | ↓ 85.3% cheaper | ↓ 60.9% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.000283 | ↓ 83.7% cheaper | ↓ 56.5% cheaper |
| #6 |
Gemini 3.5 Flash-Lite
Google
|
$0.000410 | ↓ 76.3% cheaper | ↓ 36.9% cheaper |
| #7 |
Gemini 2.5 Flash
Google
|
$0.000410 | ↓ 76.3% cheaper | ↓ 36.9% cheaper |
| #8 |
Gemini 3.8 Flash
Google
|
$0.000649 | ↓ 62.5% cheaper | Same price |
| #9 |
Gemini 3.6 Flash
Google
|
$0.000649 | ↓ 62.5% cheaper | Same price |
| #10 |
GPT-5.4 mini
OpenAI
|
$0.000761 | ↓ 56% cheaper | ↑ 17.3% more |
| #11 |
Mistral Large 4
Mistral AI
|
$0.000783 | ↓ 54.7% cheaper | ↑ 20.8% more |
| #12 |
Claude Haiku 4.5
Anthropic
|
$0.000865 | ↓ 50% cheaper | ↑ 33.3% more |
| #13 |
Gemini 3.1 Flash
Google
|
$0.001015 | ↓ 41.3% cheaper | ↑ 56.5% more |
| #14 |
Grok 4.3
xAI
|
$0.001660 | ↓ 4% cheaper | ↑ 155.9% more |
| #15 |
Grok 4.20 Beta
xAI
|
$0.001660 | ↓ 4% cheaper | ↑ 155.9% more |
| #16 |
Claude Sonnet 5.5
Anthropic
|
$0.001715 | ↓ 0.9% cheaper | ↑ 164.4% more |
| #17 |
Gemini 4 Argon
Google
|
$0.001730 | Same price | ↑ 166.7% more |
| #18 |
GPT-5.6 Terra
OpenAI
|
$0.002030 | ↑ 17.3% more | ↑ 212.9% more |
| #19 |
GPT-5.3 Codex Spark
OpenAI
|
$0.002301 | ↑ 33% more | ↑ 254.7% more |
| #20 |
GPT-5.3 Instant
OpenAI
|
$0.002301 | ↑ 33% more | ↑ 254.7% more |
| #21 |
Claude Sonnet 4.6
Anthropic
|
$0.002595 | ↑ 50% more | ↑ 300% more |
| #22 |
Gemini 2.5 Pro
Google
|
$0.003288 | ↑ 90% more | ↑ 406.7% more |
| #23 |
Claude Opus 5.5
Anthropic
|
$0.003430 | ↑ 98.3% more | ↑ 428.7% more |
| #24 |
GPT-6.1 Sol
OpenAI
|
$0.003460 | ↑ 100% more | ↑ 433.3% more |
| #25 |
GPT-6 Sol
OpenAI
|
$0.003460 | ↑ 100% more | ↑ 433.3% more |
| #26 |
GPT-5.6 Sol
OpenAI
|
$0.003460 | ↑ 100% more | ↑ 433.3% more |
| #27 |
Gemini 3.1 Pro
Google
|
$0.004060 | ↑ 134.7% more | ↑ 525.8% more |
| #28 |
Claude Opus 4.7
Anthropic
|
$0.004325 | ↑ 150% more | ↑ 566.7% more |
| #29 |
Claude Opus 5
Anthropic
|
$0.004325 | ↑ 150% more | ↑ 566.7% more |
| #30 |
Claude Opus 4.8
Anthropic
|
$0.004325 | ↑ 150% more | ↑ 566.7% more |
| #31 |
Claude Opus 4.6
Anthropic
|
$0.004325 | ↑ 150% more | ↑ 566.7% more |
| #32 |
GPT-5.4
OpenAI
|
$0.005075 (rounded ~ $0.01) | ↑ 193.4% more | ↑ 682.3% more |
| #33 |
GPT-5.4 Thinking
OpenAI
|
$0.005075 (rounded ~ $0.01) | ↑ 193.4% more | ↑ 682.3% more |
| #34 |
GPT-5.5 Instant
OpenAI
|
$0.005075 (rounded ~ $0.01) | ↑ 193.4% more | ↑ 682.3% more |
| #35 |
Claude Fable 5.1
Anthropic
|
$0.008538 (rounded ~ $0.01) | ↑ 393.5% more | ↑ 1216% more |
| #36 |
Claude Mythos 5.1
Anthropic
|
$0.008538 (rounded ~ $0.01) | ↑ 393.5% more | ↑ 1216% more |
| #37 |
Claude Fable 5
Anthropic
|
$0.008650 (rounded ~ $0.01) | ↑ 400% more | ↑ 1233.3% more |
| #38 |
Claude Mythos 5
Anthropic
|
$0.008650 (rounded ~ $0.01) | ↑ 400% more | ↑ 1233.3% more |
| #39 |
GPT-5.5
OpenAI
|
$0.010150 | ↑ 486.7% more | ↑ 1464.5% more |
| #40 |
GPT-6 Astra
OpenAI
|
$0.017300 (rounded ~ $0.02) | ↑ 900% more | ↑ 2566.7% more |
| #41 |
GPT-5.2 Pro
OpenAI
|
$0.027615 (rounded ~ $0.03) | ↑ 1496.2% more | ↑ 4156.6% more |
| #42 |
GPT-5.2 Pro
OpenAI
|
$0.027615 (rounded ~ $0.03) | ↑ 1496.2% more | ↑ 4156.6% more |
Claude Haiku 5.5 Anthropic
GPT-6 Luna OpenAI
GPT-5.6 Luna OpenAI
Gemini 3.1 Flash Lite Google
Mistral Large 3 Mistral AI
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.8 Flash Google
Gemini 3.6 Flash Google
GPT-5.4 mini OpenAI
Mistral Large 4 Mistral AI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
Grok 4.3 xAI
Grok 4.20 Beta xAI
Claude Sonnet 5.5 Anthropic
Gemini 4 Argon Google
GPT-5.6 Terra OpenAI
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Claude Sonnet 4.6 Anthropic
Gemini 2.5 Pro Google
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 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
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
Deploying large-scale email personalization requires balancing high-fidelity reasoning with operational throughput. For enterprise customer support and marketing teams generating millions of personalized communications, selecting the right model often comes down to the specific requirements of the drafting task.
Claude Sonnet 5 excels in scenarios where email content must adhere to strict brand guidelines or complex, multi-variable logic. Its architectural strength lies in its ability to maintain context over long, nuanced conversational threads, ensuring that personalized outreach feels authentic rather than templated. This makes it a preferred choice for high-touch customer retention campaigns where the cost of a tone-deaf response is significant.
Conversely, Gemini 3.6 Flash is engineered for extreme efficiency at scale. When the primary objective is high-volume, low-latency text generation—such as transactional notifications or standardized follow-ups—Gemini 3.6 Flash provides a significant throughput advantage. Its capabilities are particularly well-suited for automated pipelines that process vast amounts of unstructured data to populate dynamic fields, allowing for rapid iterations without sacrificing structural integrity.
For teams managing enterprise-grade workloads, the decision often hinges on whether your priority is ‘reasoning depth’ or ‘pipeline velocity.’ Claude Sonnet 5 offers the sophisticated reasoning necessary for complex, high-value outreach, while Gemini 3.6 Flash provides the speed and volume capacity required for high-frequency, standardized communications. Evaluating your team’s specific latency needs versus the requirement for nuanced personalization is essential when building your infrastructure for 100M-token monthly volumes.