Claude Sonnet 4.6 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.002250
Output: $0.002250
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: $0.000750
- Output Cost: $0.002250
- Total Cost: $0.002865
- Cost per 1K tokens: $0.001791
- Tokens per dollar: 558,464 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: 3.98 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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This calculator shows the math for Claude Sonnet 4.6. 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: $0.001350
Output: $0.001350
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: $0.000375
- Output Cost: $0.001350
- Total Cost: $0.001658
- Cost per 1K tokens: $0.001036
- Tokens per dollar: 965,309 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: 2.19 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 |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.000066 Best Value | ↓ 97.7% cheaper | ↓ 96% cheaper |
| 🥈 |
Voxtral Small 24B
Mistral AI
|
$0.000066 | ↓ 97.7% cheaper | ↓ 96% cheaper |
| 🥉 |
Devstral Small 2
Mistral AI
|
$0.000066 | ↓ 97.7% cheaper | ↓ 96% cheaper |
| #4 |
Ministral 3 (14B)
Mistral AI
|
$0.000071 | ↓ 97.5% cheaper | ↓ 95.7% cheaper |
| #5 |
Nemotron 3 Super
NVIDIA
|
$0.000185 | ↓ 93.6% cheaper | ↓ 88.9% cheaper |
| #6 |
Devstral 2
Mistral AI
|
$0.000217 | ↓ 92.4% cheaper | ↓ 86.9% cheaper |
| #7 |
Gemini 3.1 Flash Lite
Google
|
$0.000276 | ↓ 90.4% cheaper | ↓ 83.3% cheaper |
| #8 |
Mistral Large 3
Mistral AI
|
$0.000328 | ↓ 88.6% cheaper | ↓ 80.2% cheaper |
| #9 |
Gemini 3.5 Flash-Lite
Google
|
$0.000437 | ↓ 84.8% cheaper | ↓ 73.7% cheaper |
| #10 |
Gemini 2.5 Flash
Google
|
$0.000437 | ↓ 84.8% cheaper | ↓ 73.7% cheaper |
| #11 |
Gemini 3.8 Flash
Google
|
$0.000716 | ↓ 75% cheaper | ↓ 56.8% cheaper |
| #12 |
o4-mini Deep Research
OpenAI
|
$0.000805 | ↓ 71.9% cheaper | ↓ 51.4% cheaper |
| #13 |
GPT-5.4 mini
OpenAI
|
$0.000829 | ↓ 71.1% cheaper | ↓ 50% cheaper |
| #14 |
o4-mini
OpenAI
|
$0.000886 | ↓ 69.1% cheaper | ↓ 46.6% cheaper |
| #15 |
Claude Haiku 4.5
Anthropic
|
$0.000955 | ↓ 66.7% cheaper | ↓ 42.4% cheaper |
| #16 |
Gemini 3.1 Flash
Google
|
$0.001105 | ↓ 61.4% cheaper | ↓ 33.3% cheaper |
| #17 |
GPT-5.6 Luna
OpenAI
|
$0.001105 | ↓ 61.4% cheaper | ↓ 33.3% cheaper |
| #18 |
Magistral Medium
Mistral AI
|
$0.001160 | ↓ 59.5% cheaper | ↓ 30% cheaper |
| #19 |
Gemini 3.6 Flash
Google
|
$0.001433 | ↓ 50% cheaper | ↓ 13.6% cheaper |
| #20 |
Gemini 3.5 Flash
Google
|
$0.001658 | ↓ 42.1% cheaper | Same price |
| #21 |
Claude Sonnet 5
Anthropic
|
$0.001910 | ↓ 33.3% cheaper | ↑ 15.2% more |
| #22 |
Grok 4.3
xAI
|
$0.002020 | ↓ 29.5% cheaper | ↑ 21.9% more |
| #23 |
Grok 4.20 Beta
xAI
|
$0.002020 | ↓ 29.5% cheaper | ↑ 21.9% more |
| #24 |
GPT-5.3 Codex Spark
OpenAI
|
$0.002459 | ↓ 14.2% cheaper | ↑ 48.3% more |
| #25 |
GPT-5.3 Instant
OpenAI
|
$0.002459 | ↓ 14.2% cheaper | ↑ 48.3% more |
| #26 |
GPT-5.6 Terra
OpenAI
|
$0.002763 | ↓ 3.6% cheaper | ↑ 66.7% more |
| #27 |
Gemini 2.5 Pro
Google
|
$0.003513 | ↑ 22.6% more | ↑ 111.9% more |
| #28 |
Gemini 3.1 Pro
Google
|
$0.004420 | ↑ 54.3% more | ↑ 166.7% more |
| #29 |
Claude Opus 4.7
Anthropic
|
$0.004775 | ↑ 66.7% more | ↑ 188.1% more |
| #30 |
Claude Opus 5
Anthropic
|
$0.004775 | ↑ 66.7% more | ↑ 188.1% more |
| #31 |
Claude Opus 4.8
Anthropic
|
$0.004775 | ↑ 66.7% more | ↑ 188.1% more |
| #32 |
Claude Opus 4.6
Anthropic
|
$0.004775 | ↑ 66.7% more | ↑ 188.1% more |
| #33 |
GPT-5.4
OpenAI
|
$0.005525 (rounded ~ $0.01) | ↑ 92.8% more | ↑ 233.3% more |
| #34 |
GPT-5.4 Thinking
OpenAI
|
$0.005525 (rounded ~ $0.01) | ↑ 92.8% more | ↑ 233.3% more |
| #35 |
GPT-5.5 Instant
OpenAI
|
$0.005525 (rounded ~ $0.01) | ↑ 92.8% more | ↑ 233.3% more |
| #36 |
GPT-5.6 Sol
OpenAI
|
$0.005525 (rounded ~ $0.01) | ↑ 92.8% more | ↑ 233.3% more |
| #37 |
o3 Deep Research
OpenAI
|
$0.008050 (rounded ~ $0.01) | ↑ 181% more | ↑ 385.7% more |
| #38 |
Claude Fable 5.1
Anthropic
|
$0.009513 | ↑ 232% more | ↑ 473.9% more |
| #39 |
Claude Mythos 5.1
Anthropic
|
$0.009513 | ↑ 232% more | ↑ 473.9% more |
| #40 |
Claude Fable 5
Anthropic
|
$0.009550 | ↑ 233.3% more | ↑ 476.2% more |
| #41 |
Claude Mythos 5
Anthropic
|
$0.009550 | ↑ 233.3% more | ↑ 476.2% more |
| #42 |
GPT-5.5
OpenAI
|
$0.011050 (rounded ~ $0.01) | ↑ 285.7% more | ↑ 566.7% more |
| #43 |
o3 Pro
OpenAI
|
$0.016100 (rounded ~ $0.02) | ↑ 462% more | ↑ 871.3% more |
| #44 |
GPT-6 Astra
OpenAI
|
$0.019100 | ↑ 566.7% more | ↑ 1052.3% more |
| #45 |
GPT-5.2 Pro
OpenAI
|
$0.029505 | ↑ 929.8% more | ↑ 1680.1% more |
| #46 |
GPT-5.2 Pro
OpenAI
|
$0.029505 | ↑ 929.8% more | ↑ 1680.1% more |
Mistral Small 3 Mistral AI
Voxtral Small 24B Mistral AI
Devstral Small 2 Mistral AI
Ministral 3 (14B) Mistral AI
Nemotron 3 Super NVIDIA
Devstral 2 Mistral AI
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
o4-mini Deep Research OpenAI
GPT-5.4 mini OpenAI
o4-mini OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
Magistral Medium Mistral AI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Claude Sonnet 5 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
GPT-5.6 Terra OpenAI
Gemini 2.5 Pro Google
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
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-5.5 OpenAI
o3 Pro OpenAI
GPT-6 Astra OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
As social media managers, our ability to scale personalized outreach often hinges on drafting consistency. When managing high-volume email campaigns—specifically at the 500,000-token daily threshold—the choice between models like Claude Sonnet 4.6 and Gemini 3.5 Flash comes down to how they handle brand voice and structured instruction. Claude Sonnet 4.6 is frequently favored for its nuanced grasp of tone, making it a strong candidate for email campaigns that require a more ‘human’ touch or sophisticated brand alignment. It excels in following complex, multi-step instructions without deviating from the core messaging.
Conversely, Gemini 3.5 Flash is designed for speed and efficiency. For teams generating hundreds of drafts daily, the latency advantages can significantly speed up the production pipeline. While it may require more careful prompting to maintain the same level of stylistic subtlety as Claude, its performance in high-throughput environments is robust. When evaluating these for your daily email volume, consider your team’s bottleneck: is it creative quality or production speed? Anthropic’s model offers the precision needed for high-stakes, personalized outreach, whereas Google’s Flash tier provides the raw throughput necessary for rapid, high-volume automation. Both models support structured outputs, essential for maintaining data integrity in your CRM integrations.