Claude Sonnet 5.5 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.600000
Output: $0.600000
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 390,000 input tokens and 240,000 output tokens:
- Input Cost: $0.195000 (rounded ~ $0.20)
- Output Cost: $0.600000
- Total Cost: $0.702375 (rounded ~ $0.70)
- Cost per 1K tokens: $0.001115
- Tokens per dollar: 896,957 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 300 tokens per second and 300ms time to first token:
- Processing Time: 37 minutes, 27.18 seconds
- Latency: 300 milliseconds to first token
- Base Throughput: 300 tokens/second
- Effective Throughput: 280 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to Claude Sonnet 5.5| Rank | AI Model & Provider | Total Cost | vs Claude Sonnet 5.5 |
|---|---|---|---|
| 🏆 |
Nemotron 3 Super
NVIDIA
|
$0.065288 (rounded ~ $0.07) Best Value | ↓ 90.7% cheaper |
| 🥈 |
GPT-5.6 Luna
OpenAI
|
$0.082725 (rounded ~ $0.08) | ↓ 88.2% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.103406 (rounded ~ $0.10) | ↓ 85.3% cheaper |
| #4 |
GPT-6 Luna
OpenAI
|
$0.111450 (rounded ~ $0.11) | ↓ 84.1% cheaper |
| #5 |
Gemini 3.5 Flash-Lite
Google
|
$0.166088 (rounded ~ $0.17) | ↓ 76.4% cheaper |
| #6 |
Gemini 2.5 Flash
Google
|
$0.166088 (rounded ~ $0.17) | ↓ 76.4% cheaper |
| #7 |
Gemini 3.8 Flash
Google
|
$0.265219 (rounded ~ $0.27) | ↓ 62.2% cheaper |
| #8 |
Gemini 3.6 Flash
Google
|
$0.265219 (rounded ~ $0.27) | ↓ 62.2% cheaper |
| #9 |
Mistral Large 4
Mistral AI
|
$0.323730 (rounded ~ $0.32) | ↓ 53.9% cheaper |
| #10 |
Claude Haiku 5.5
Anthropic
|
$0.353625 (rounded ~ $0.35) | ↓ 49.7% cheaper |
| #11 |
Claude Sonnet 5
Anthropic
|
$0.707250 (rounded ~ $0.71) | ↑ 0.7% more |
| #12 |
Gemini 4 Argon
Google
|
$0.707250 (rounded ~ $0.71) | ↑ 0.7% more |
| #13 |
Gemini 3.1 Flash
Google
|
$0.827250 (rounded ~ $0.83) | ↑ 17.8% more |
| #14 |
GPT-5.6 Terra
OpenAI
|
$0.827250 (rounded ~ $0.83) | ↑ 17.8% more |
| #15 |
Claude Sonnet 4.6
Anthropic
|
$1.060875 | ↑ 51% more |
| #16 |
Grok 4.3
xAI
|
$1.389000 | ↑ 97.8% more |
| #17 |
Grok 4.20 Beta
xAI
|
$1.389000 | ↑ 97.8% more |
| #18 |
Claude Opus 5.5
Anthropic
|
$1.404750 (rounded ~ $1.40) | ↑ 100% more |
| #19 |
GPT-5.6 Sol
OpenAI
|
$1.414500 (rounded ~ $1.41) | ↑ 101.4% more |
| #20 |
Claude Opus 4.7
Anthropic
|
$1.768125 (rounded ~ $1.77) | ↑ 151.7% more |
| #21 |
Claude Opus 5
Anthropic
|
$1.768125 (rounded ~ $1.77) | ↑ 151.7% more |
| #22 |
Claude Opus 4.8
Anthropic
|
$1.768125 (rounded ~ $1.77) | ↑ 151.7% more |
| #23 |
Claude Opus 4.6
Anthropic
|
$1.768125 (rounded ~ $1.77) | ↑ 151.7% more |
| #24 |
Gemini 2.5 Pro
Google
|
$2.068125 (rounded ~ $2.07) | ↑ 194.4% more |
| #25 |
GPT-6.1 Sol
OpenAI
|
$2.229000 (rounded ~ $2.23) | ↑ 217.4% more |
| #26 |
GPT-6 Sol
OpenAI
|
$2.229000 (rounded ~ $2.23) | ↑ 217.4% more |
| #27 |
Gemini 3.1 Pro
Google
|
$2.589000 | ↑ 268.6% more |
| #28 |
GPT-5.4
OpenAI
|
$3.236250 (rounded ~ $3.24) | ↑ 360.8% more |
| #29 |
GPT-5.4 Thinking
OpenAI
|
$3.236250 (rounded ~ $3.24) | ↑ 360.8% more |
| #30 |
Claude Fable 5.1
Anthropic
|
$3.499688 | ↑ 398.3% more |
| #31 |
Claude Mythos 5.1
Anthropic
|
$3.499688 | ↑ 398.3% more |
| #32 |
Claude Fable 5
Anthropic
|
$3.536250 (rounded ~ $3.54) | ↑ 403.5% more |
| #33 |
Claude Mythos 5
Anthropic
|
$3.536250 (rounded ~ $3.54) | ↑ 403.5% more |
| #34 |
GPT-5.5
OpenAI
|
$6.472500 (rounded ~ $6.47) | ↑ 821.5% more |
| #35 |
GPT-6 Astra
OpenAI
|
$14.145000 (rounded ~ $14.15) | ↑ 1913.9% more |
| #36 |
GPT-6 Astra
OpenAI
|
$14.145000 (rounded ~ $14.15) | ↑ 1913.9% more |
Nemotron 3 Super NVIDIA
GPT-5.6 Luna OpenAI
Gemini 3.1 Flash Lite Google
GPT-6 Luna OpenAI
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.8 Flash Google
Gemini 3.6 Flash Google
Mistral Large 4 Mistral AI
Claude Haiku 5.5 Anthropic
Claude Sonnet 5 Anthropic
Gemini 4 Argon Google
Gemini 3.1 Flash Google
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
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
GPT-6.1 Sol OpenAI
GPT-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 UX designers managing large-scale product catalog enrichment, generating consistent, high-converting product descriptions is a critical workflow. Claude Sonnet 5.5 has emerged as a top contender for this task due to its exceptional ability to maintain brand voice across thousands of variations without the hallucination issues often found in smaller, less dense models. When synthesizing research into product copy, consistency is paramount; this model excels at following complex style guides and structured formatting constraints, ensuring that the generated output is ready for CMS injection without significant manual post-editing.
Beyond basic text generation, the model’s sophisticated reasoning allows it to interpret nuanced feature lists—such as technical specifications or material compositions—and translate them into consumer-friendly benefits. For teams prototyping an automated pipeline, the model’s reliability in structured output (JSON or Markdown) makes it an excellent choice for integration into existing content management systems. While the volume of 390K tokens for a batch of 300 descriptions represents a significant data footprint, the quality of instruction following often reduces the need for iterative re-prompting, which is a common hidden cost in content automation. UX designers should consider this model when the priority is high-fidelity, on-brand copy that requires minimal human oversight in the final review stages.