Claude Sonnet 4.6 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $1.125000 (rounded ~ $1.13)
Output: $1.125000 (rounded ~ $1.13)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 300,000 output tokens:
- Input Cost: $0.375000 (rounded ~ $0.38)
- Output Cost: $1.125000 (rounded ~ $1.13)
- Total Cost: $1.331250 (rounded ~ $1.33)
- Cost per 1K tokens: $0.001664
- Tokens per dollar: 600,939 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 450 tokens per second and 200ms time to first token:
- Processing Time: 31 minutes, 42.40 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 450 tokens/second
- Effective Throughput: 421 tokens/second (temperature-adjusted)
Best Use Cases
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💰 Total Cost Calculation (from Plugin)
Output: $0.675000 (rounded ~ $0.68)
Output: $0.675000 (rounded ~ $0.68)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 300,000 output tokens:
- Input Cost: $0.187500 (rounded ~ $0.19)
- Output Cost: $0.675000 (rounded ~ $0.68)
- Total Cost: $0.778125 (rounded ~ $0.78)
- Cost per 1K tokens: $0.000973
- Tokens per dollar: 1,028,112 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 850 tokens per second and 90ms time to first token:
- Processing Time: 16 minutes, 47.24 seconds
- Latency: 90 milliseconds to first token
- Base Throughput: 850 tokens/second
- Effective Throughput: 794 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Gemini 3.5 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 4.6| Rank | AI Model & Provider | Total Cost | vs Claude Sonnet 4.6 | vs Gemini 3.5 Flash |
|---|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.129688 Best Value | ↓ 90.3% cheaper | ↓ 83.3% cheaper |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.208125 (rounded ~ $0.21) | ↓ 84.4% cheaper | ↓ 73.3% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.208125 (rounded ~ $0.21) | ↓ 84.4% cheaper | ↓ 73.3% cheaper |
| #4 |
Gemini 3.8 Flash
Google
|
$0.332813 (rounded ~ $0.33) | ↓ 75% cheaper | ↓ 57.2% cheaper |
| #5 |
GPT-5.6 Luna
OpenAI
|
$0.518750 (rounded ~ $0.52) | ↓ 61% cheaper | ↓ 33.3% cheaper |
| #6 |
Gemini 3.6 Flash
Google
|
$0.665625 (rounded ~ $0.67) | ↓ 50% cheaper | ↓ 14.5% cheaper |
| #7 |
Gemini 3.5 Flash
Google
|
$0.778125 (rounded ~ $0.78) | ↓ 41.5% cheaper | Same price |
| #8 |
Claude Sonnet 5
Anthropic
|
$0.887500 (rounded ~ $0.89) | ↓ 33.3% cheaper | ↑ 14.1% more |
| #9 |
Gemini 3.1 Flash
Google
|
$1.037500 (rounded ~ $1.04) | ↓ 22.1% cheaper | ↑ 33.3% more |
| #10 |
GPT-5.6 Terra
OpenAI
|
$1.296875 (rounded ~ $1.30) | ↓ 2.6% cheaper | ↑ 66.7% more |
| #11 |
Grok 4.3
xAI
|
$1.750000 | ↑ 31.5% more | ↑ 124.9% more |
| #12 |
Grok 4.20 Beta
xAI
|
$1.750000 | ↑ 31.5% more | ↑ 124.9% more |
| #13 |
Claude Opus 4.7
Anthropic
|
$2.218750 (rounded ~ $2.22) | ↑ 66.7% more | ↑ 185.1% more |
| #14 |
Claude Opus 5
Anthropic
|
$2.218750 (rounded ~ $2.22) | ↑ 66.7% more | ↑ 185.1% more |
| #15 |
Claude Opus 4.8
Anthropic
|
$2.218750 (rounded ~ $2.22) | ↑ 66.7% more | ↑ 185.1% more |
| #16 |
Claude Opus 4.6
Anthropic
|
$2.218750 (rounded ~ $2.22) | ↑ 66.7% more | ↑ 185.1% more |
| #17 |
Gemini 2.5 Pro
Google
|
$2.593750 (rounded ~ $2.59) | ↑ 94.8% more | ↑ 233.3% more |
| #18 |
GPT-5.6 Sol
OpenAI
|
$2.593750 (rounded ~ $2.59) | ↑ 94.8% more | ↑ 233.3% more |
| #19 |
Gemini 3.1 Pro
Google
|
$3.250000 | ↑ 144.1% more | ↑ 317.7% more |
| #20 |
GPT-5.4
OpenAI
|
$4.062500 (rounded ~ $4.06) | ↑ 205.2% more | ↑ 422.1% more |
| #21 |
GPT-5.4 Thinking
OpenAI
|
$4.062500 (rounded ~ $4.06) | ↑ 205.2% more | ↑ 422.1% more |
| #22 |
Claude Fable 5.1
Anthropic
|
$4.390625 | ↑ 229.8% more | ↑ 464.3% more |
| #23 |
Claude Mythos 5.1
Anthropic
|
$4.390625 | ↑ 229.8% more | ↑ 464.3% more |
| #24 |
Claude Fable 5
Anthropic
|
$4.437500 (rounded ~ $4.44) | ↑ 233.3% more | ↑ 470.3% more |
| #25 |
Claude Mythos 5
Anthropic
|
$4.437500 (rounded ~ $4.44) | ↑ 233.3% more | ↑ 470.3% more |
| #26 |
GPT-5.5
OpenAI
|
$8.125000 (rounded ~ $8.13) | ↑ 510.3% more | ↑ 944.2% more |
| #27 |
GPT-6 Astra
OpenAI
|
$17.750000 | ↑ 1233.3% more | ↑ 2181.1% more |
| #28 |
GPT-6 Astra
OpenAI
|
$17.750000 | ↑ 1233.3% more | ↑ 2181.1% more |
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.8 Flash Google
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Claude Sonnet 5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Terra OpenAI
Grok 4.3 xAI
Grok 4.20 Beta xAI
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
Gemini 2.5 Pro Google
GPT-5.6 Sol OpenAI
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking 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-6 Astra OpenAI
For high-volume email personalization, the choice between these two models hinges on your specific operational priorities. In 2026, personalized outbound at scale requires balancing nuanced writing with raw throughput. Claude Sonnet 4.6 excels at maintaining a sophisticated, conversational tone, making it the preferred choice when your email strategy relies on high-touch, human-like copy that avoids the generic feel of template-based systems. It handles complex instructions well, ensuring that the personalization logic—such as referencing specific prospect data points or past interactions—remains consistent throughout long sequences.
Conversely, Gemini 3.5 Flash is engineered for speed and high-throughput environments. For teams managing hundreds of daily personalized drafts where latency is a critical bottleneck, Gemini offers significant advantages in processing speed. It is highly effective for rapid-fire generation tasks where the primary goal is getting a drafted message ready for human review without significant delays. While Claude offers superior depth for complex, multi-layered personalization, Gemini’s architecture is optimized for the rapid, high-volume churn required by modern sales engagement platforms. If your workflow involves integrating with large-scale CRMs where data latency is a constant friction point, Gemini provides the responsiveness necessary to keep your pipelines moving. The decision ultimately rests on whether your outreach strategy prioritizes editorial nuance or raw operational velocity at scale.