Claude Sonnet 5.5 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.002500
Output: $0.002500
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 20,000 input tokens and 1,000 output tokens:
- Input Cost: $0.010000
- Output Cost: $0.002500
- Total Cost: $0.007750 (rounded ~ $0.01)
- Cost per 1K tokens: $0.000369
- Tokens per dollar: 2,709,677 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: 1 minute, 15.08 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 |
|---|---|---|---|
| 🏆 |
Claude Haiku 5.5
Anthropic
|
$0.000800 Best Value | ↓ 89.7% cheaper |
| 🥈 |
GPT-6 Luna
OpenAI
|
$0.000800 | ↓ 89.7% cheaper |
| 🥉 |
GPT-5.6 Luna
OpenAI
|
$0.000850 | ↓ 89% cheaper |
| #4 |
Gemini 3.1 Flash Lite
Google
|
$0.001063 | ↓ 86.3% cheaper |
| #5 |
Gemini 3.5 Flash-Lite
Google
|
$0.001450 | ↓ 81.3% cheaper |
| #6 |
Gemini 2.5 Flash
Google
|
$0.001450 | ↓ 81.3% cheaper |
| #7 |
Mistral Large 3
Mistral AI
|
$0.001750 | ↓ 77.4% cheaper |
| #8 |
Gemini 3.8 Flash
Google
|
$0.003000 | ↓ 61.3% cheaper |
| #9 |
Gemini 3.6 Flash
Google
|
$0.003000 | ↓ 61.3% cheaper |
| #10 |
GPT-5.4 mini
OpenAI
|
$0.003188 | ↓ 58.9% cheaper |
| #11 |
Claude Haiku 4.5
Anthropic
|
$0.004000 | ↓ 48.4% cheaper |
| #12 |
Gemini 3.1 Flash
Google
|
$0.004250 | ↓ 45.2% cheaper |
| #13 |
Mistral Large 4
Mistral AI
|
$0.004785 | ↓ 38.3% cheaper |
| #14 |
Claude Sonnet 5
Anthropic
|
$0.008000 (rounded ~ $0.01) | ↑ 3.2% more |
| #15 |
Gemini 4 Argon
Google
|
$0.008000 (rounded ~ $0.01) | ↑ 3.2% more |
| #16 |
GPT-5.3 Codex Spark
OpenAI
|
$0.008313 (rounded ~ $0.01) | ↑ 7.3% more |
| #17 |
GPT-5.3 Instant
OpenAI
|
$0.008313 (rounded ~ $0.01) | ↑ 7.3% more |
| #18 |
GPT-5.6 Terra
OpenAI
|
$0.008500 (rounded ~ $0.01) | ↑ 9.7% more |
| #19 |
Gemini 2.5 Pro
Google
|
$0.011875 (rounded ~ $0.01) | ↑ 53.2% more |
| #20 |
Claude Sonnet 4.6
Anthropic
|
$0.012000 (rounded ~ $0.01) | ↑ 54.8% more |
| #21 |
Grok 4.3
xAI
|
$0.013000 (rounded ~ $0.01) | ↑ 67.7% more |
| #22 |
Grok 4.20 Beta
xAI
|
$0.013000 (rounded ~ $0.01) | ↑ 67.7% more |
| #23 |
Claude Opus 5.5
Anthropic
|
$0.015500 (rounded ~ $0.02) | ↑ 100% more |
| #24 |
GPT-6.1 Sol
OpenAI
|
$0.016000 (rounded ~ $0.02) | ↑ 106.5% more |
| #25 |
GPT-6 Sol
OpenAI
|
$0.016000 (rounded ~ $0.02) | ↑ 106.5% more |
| #26 |
GPT-5.6 Sol
OpenAI
|
$0.016000 (rounded ~ $0.02) | ↑ 106.5% more |
| #27 |
Gemini 3.1 Pro
Google
|
$0.017000 (rounded ~ $0.02) | ↑ 119.4% more |
| #28 |
Claude Opus 4.7
Anthropic
|
$0.020000 | ↑ 158.1% more |
| #29 |
Claude Opus 5
Anthropic
|
$0.020000 | ↑ 158.1% more |
| #30 |
Claude Opus 4.8
Anthropic
|
$0.020000 | ↑ 158.1% more |
| #31 |
Claude Opus 4.6
Anthropic
|
$0.020000 | ↑ 158.1% more |
| #32 |
GPT-5.4
OpenAI
|
$0.021250 (rounded ~ $0.02) | ↑ 174.2% more |
| #33 |
GPT-5.4 Thinking
OpenAI
|
$0.021250 (rounded ~ $0.02) | ↑ 174.2% more |
| #34 |
GPT-5.5 Instant
OpenAI
|
$0.021250 (rounded ~ $0.02) | ↑ 174.2% more |
| #35 |
Claude Fable 5.1
Anthropic
|
$0.038125 (rounded ~ $0.04) | ↑ 391.9% more |
| #36 |
Claude Mythos 5.1
Anthropic
|
$0.038125 (rounded ~ $0.04) | ↑ 391.9% more |
| #37 |
Claude Fable 5
Anthropic
|
$0.040000 | ↑ 416.1% more |
| #38 |
Claude Mythos 5
Anthropic
|
$0.040000 | ↑ 416.1% more |
| #39 |
GPT-5.5
OpenAI
|
$0.042500 (rounded ~ $0.04) | ↑ 448.4% more |
| #40 |
GPT-6 Astra
OpenAI
|
$0.080000 | ↑ 932.3% more |
| #41 |
GPT-5.2 Pro
OpenAI
|
$0.099750 | ↑ 1187.1% more |
| #42 |
GPT-5.2 Pro
OpenAI
|
$0.099750 | ↑ 1187.1% more |
Claude Haiku 5.5 Anthropic
GPT-6 Luna OpenAI
GPT-5.6 Luna OpenAI
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.8 Flash Google
Gemini 3.6 Flash Google
GPT-5.4 mini OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
Mistral Large 4 Mistral AI
Claude Sonnet 5 Anthropic
Gemini 4 Argon Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
GPT-5.6 Terra OpenAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
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
Educational tutoring platforms require low latency and high accuracy to maintain student engagement during live interactions. Claude Sonnet 5.5 stands out in this domain due to its refined reasoning capabilities, which are essential for explaining complex concepts step-by-step without hallucinating facts. In a tutoring scenario involving one-on-one sessions, the model must maintain context over a 20K-token window to recall previous student misunderstandings or specific curriculum milestones.
Unlike lighter models that might prioritize speed at the cost of pedagogical depth, Sonnet 5.5 balances performance with a sophisticated understanding of educational scaffolding. For enterprise architects scaling these services to 100M tokens monthly, the model’s efficiency allows for high-quality interactions without prohibitive compute overhead. While some competitors might offer lower raw input costs, the total cost of ownership is often lower with Sonnet 5.5 due to fewer required retries and higher accuracy in multi-turn dialogues.
When deploying at enterprise scale, consider the integration of tool-calling features if your tutoring platform requires external API access for dynamic content retrieval or real-time assessment tracking. The model’s native vision capabilities also provide a significant advantage if your platform processes student-submitted diagrams or handwritten work, reducing the need for separate OCR pipelines. For teams focusing on high-retention learning environments, Sonnet 5.5 offers a robust, reliable foundation that scales effectively with user growth.