Claude Sonnet 4.6 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.018750 (rounded ~ $0.02)
Output: $0.018750 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 5,000 output tokens:
- Input Cost: $0.075000 (rounded ~ $0.08)
- Output Cost: $0.018750 (rounded ~ $0.02)
- Total Cost: $0.080250
- Cost per 1K tokens: $0.000764
- Tokens per dollar: 1,308,411 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: 4 minutes, 9.85 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: $0.011250 (rounded ~ $0.01)
Output: $0.011250 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 5,000 output tokens:
- Input Cost: $0.037500 (rounded ~ $0.04)
- Output Cost: $0.011250 (rounded ~ $0.01)
- Total Cost: $0.042000 (rounded ~ $0.04)
- Cost per 1K tokens: $0.000400
- Tokens per dollar: 2,500,000 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 minutes, 12.36 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
|
$0.002425 Best Value | ↓ 97% cheaper | ↓ 94.2% cheaper |
| 🥈 |
Devstral Small 2
Mistral AI
|
$0.002425 | ↓ 97% cheaper | ↓ 94.2% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.007000 (rounded ~ $0.01) | ↓ 91.3% cheaper | ↓ 83.3% cheaper |
| #4 |
Nemotron 3 Super
NVIDIA
|
$0.007175 (rounded ~ $0.01) | ↓ 91.1% cheaper | ↓ 82.9% cheaper |
| #5 |
Gemini 3.5 Flash-Lite
Google
|
$0.009275 | ↓ 88.4% cheaper | ↓ 77.9% cheaper |
| #6 |
Gemini 2.5 Flash
Google
|
$0.009275 | ↓ 88.4% cheaper | ↓ 77.9% cheaper |
| #7 |
Devstral 2
Mistral AI
|
$0.009325 | ↓ 88.4% cheaper | ↓ 77.8% cheaper |
| #8 |
Mistral Large 3
Mistral AI
|
$0.012125 (rounded ~ $0.01) | ↓ 84.9% cheaper | ↓ 71.1% cheaper |
| #9 |
Gemini 3.8 Flash
Google
|
$0.020063 | ↓ 75% cheaper | ↓ 52.2% cheaper |
| #10 |
GPT-5.4 mini
OpenAI
|
$0.021000 (rounded ~ $0.02) | ↓ 73.8% cheaper | ↓ 50% cheaper |
| #11 |
o4-mini Deep Research
OpenAI
|
$0.025500 (rounded ~ $0.03) | ↓ 68.2% cheaper | ↓ 39.3% cheaper |
| #12 |
Claude Haiku 4.5
Anthropic
|
$0.026750 (rounded ~ $0.03) | ↓ 66.7% cheaper | ↓ 36.3% cheaper |
| #13 |
Gemini 3.1 Flash
Google
|
$0.028000 (rounded ~ $0.03) | ↓ 65.1% cheaper | ↓ 33.3% cheaper |
| #14 |
GPT-5.6 Luna
OpenAI
|
$0.028000 (rounded ~ $0.03) | ↓ 65.1% cheaper | ↓ 33.3% cheaper |
| #15 |
o4-mini
OpenAI
|
$0.028050 (rounded ~ $0.03) | ↓ 65% cheaper | ↓ 33.2% cheaper |
| #16 |
Gemini 3.6 Flash
Google
|
$0.040125 | ↓ 50% cheaper | ↓ 4.5% cheaper |
| #17 |
Gemini 3.5 Flash
Google
|
$0.042000 (rounded ~ $0.04) | ↓ 47.7% cheaper | Same price |
| #18 |
Magistral Medium
Mistral AI
|
$0.047250 (rounded ~ $0.05) | ↓ 41.1% cheaper | ↑ 12.5% more |
| #19 |
GPT-5.3 Codex Spark
OpenAI
|
$0.053375 (rounded ~ $0.05) | ↓ 33.5% cheaper | ↑ 27.1% more |
| #20 |
GPT-5.3 Instant
OpenAI
|
$0.053375 (rounded ~ $0.05) | ↓ 33.5% cheaper | ↑ 27.1% more |
| #21 |
Claude Sonnet 5
Anthropic
|
$0.053500 (rounded ~ $0.05) | ↓ 33.3% cheaper | ↑ 27.4% more |
| #22 |
GPT-5.6 Terra
OpenAI
|
$0.070000 | ↓ 12.8% cheaper | ↑ 66.7% more |
| #23 |
Gemini 2.5 Pro
Google
|
$0.076250 (rounded ~ $0.08) | ↓ 5% cheaper | ↑ 81.5% more |
| #24 |
Grok 4.3
xAI
|
$0.092000 (rounded ~ $0.09) | ↑ 14.6% more | ↑ 119% more |
| #25 |
Grok 4.20 Beta
xAI
|
$0.092000 (rounded ~ $0.09) | ↑ 14.6% more | ↑ 119% more |
| #26 |
Gemini 3.1 Pro
Google
|
$0.112000 (rounded ~ $0.11) | ↑ 39.6% more | ↑ 166.7% more |
| #27 |
Claude Opus 4.7
Anthropic
|
$0.133750 (rounded ~ $0.13) | ↑ 66.7% more | ↑ 218.5% more |
| #28 |
Claude Opus 5
Anthropic
|
$0.133750 (rounded ~ $0.13) | ↑ 66.7% more | ↑ 218.5% more |
| #29 |
Claude Opus 4.8
Anthropic
|
$0.133750 (rounded ~ $0.13) | ↑ 66.7% more | ↑ 218.5% more |
| #30 |
Claude Opus 4.6
Anthropic
|
$0.133750 (rounded ~ $0.13) | ↑ 66.7% more | ↑ 218.5% more |
| #31 |
GPT-5.4
OpenAI
|
$0.140000 | ↑ 74.5% more | ↑ 233.3% more |
| #32 |
GPT-5.4 Thinking
OpenAI
|
$0.140000 | ↑ 74.5% more | ↑ 233.3% more |
| #33 |
GPT-5.5 Instant
OpenAI
|
$0.140000 | ↑ 74.5% more | ↑ 233.3% more |
| #34 |
GPT-5.6 Sol
OpenAI
|
$0.140000 | ↑ 74.5% more | ↑ 233.3% more |
| #35 |
o3 Deep Research
OpenAI
|
$0.255000 (rounded ~ $0.26) | ↑ 217.8% more | ↑ 507.1% more |
| #36 |
Claude Fable 5.1
Anthropic
|
$0.263750 (rounded ~ $0.26) | ↑ 228.7% more | ↑ 528% more |
| #37 |
Claude Mythos 5.1
Anthropic
|
$0.263750 (rounded ~ $0.26) | ↑ 228.7% more | ↑ 528% more |
| #38 |
Claude Fable 5
Anthropic
|
$0.267500 (rounded ~ $0.27) | ↑ 233.3% more | ↑ 536.9% more |
| #39 |
Claude Mythos 5
Anthropic
|
$0.267500 (rounded ~ $0.27) | ↑ 233.3% more | ↑ 536.9% more |
| #40 |
GPT-5.5
OpenAI
|
$0.280000 | ↑ 248.9% more | ↑ 566.7% more |
| #41 |
o3 Pro
OpenAI
|
$0.510000 | ↑ 535.5% more | ↑ 1114.3% more |
| #42 |
GPT-6 Astra
OpenAI
|
$0.535000 (rounded ~ $0.54) | ↑ 566.7% more | ↑ 1173.8% more |
| #43 |
GPT-5.2 Pro
OpenAI
|
$0.640500 | ↑ 698.1% more | ↑ 1425% more |
| #44 |
GPT-5.2 Pro
OpenAI
|
$0.640500 | ↑ 698.1% more | ↑ 1425% more |
Mistral Small 3 Mistral AI
Devstral Small 2 Mistral AI
Gemini 3.1 Flash Lite Google
Nemotron 3 Super NVIDIA
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Devstral 2 Mistral AI
Mistral Large 3 Mistral AI
Gemini 3.8 Flash Google
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
o4-mini OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Magistral Medium Mistral AI
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Claude Sonnet 5 Anthropic
GPT-5.6 Terra OpenAI
Gemini 2.5 Pro Google
Grok 4.3 xAI
Grok 4.20 Beta xAI
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
For marketing teams managing bulk content generation, selecting the right model is no longer just about raw capability but about matching the model’s ‘personality’ to the task at hand. When you are processing 100K-token batches of product descriptions, blog drafts, or social media variants, the choice between Claude Sonnet 4.6 and Gemini 3.5 Flash often dictates the balance between editorial quality and operational efficiency.
Claude Sonnet 4.6 has established itself as the standard for tasks requiring nuanced reasoning and strict brand adherence. Its adaptive thinking capabilities make it exceptionally good at handling complex, multi-step instructions without losing the thread of your brand voice. If your product descriptions require deep context—such as incorporating specific technical specs, lifestyle benefits, and SEO keywords in a very particular tone—Sonnet 4.6 excels at preserving that structure consistently across hundreds of variations. It is the preferred choice when the qualitative ‘human-like’ feel of the copy is the primary KPI.
Gemini 3.5 Flash, conversely, is built for high-throughput, low-latency environments. For bulk workloads where speed and volume are paramount, it delivers rapid responses with high reliability. It shines in programmatic scenarios where you need to generate large quantities of standard-format content quickly. If your workflow involves massive queues of simpler product-catalog entries or repetitive metadata generation, Gemini 3.5 Flash offers the operational agility needed to keep production pipelines moving smoothly. The decision ultimately comes down to whether your priority is the high-touch nuance of a brand-aligned expert or the rapid, scalable performance of a high-volume engine.