Claude Sonnet 5.5 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.005000 (rounded ~ $0.01)
Output: $0.005000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 1,000,000 input tokens and 2,000 output tokens:
- Input Cost: $0.500000
- Output Cost: $0.005000 (rounded ~ $0.01)
- Total Cost: $0.267500 (rounded ~ $0.27)
- Cost per 1K tokens: $0.000267
- Tokens per dollar: 3,745,794 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: 59 minutes, 33.98 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 |
|---|---|---|---|
| 🏆 |
Gemini 3.5 Flash-Lite
Google
|
$0.042500 (rounded ~ $0.04) Best Value | ↓ 84.1% cheaper |
| 🥈 |
GPT-6 Luna
OpenAI
|
$0.055750 (rounded ~ $0.06) | ↓ 79.2% cheaper |
| 🥉 |
Gemini 3.8 Flash
Google
|
$0.105000 (rounded ~ $0.11) | ↓ 60.7% cheaper |
| #4 |
Gemini 3.6 Flash
Google
|
$0.105000 (rounded ~ $0.11) | ↓ 60.7% cheaper |
| #5 |
Gemini 4 Argon
Google
|
$0.280000 | ↑ 4.7% more |
| #6 |
Gemini 2.5 Pro
Google
|
$0.702500 (rounded ~ $0.70) | ↑ 162.6% more |
| #7 |
GPT-6.1 Sol
OpenAI
|
$1.115000 (rounded ~ $1.12) | ↑ 316.8% more |
| #8 |
GPT-6 Sol
OpenAI
|
$1.115000 (rounded ~ $1.12) | ↑ 316.8% more |
| #9 |
GPT-5.4
OpenAI
|
$1.397500 (rounded ~ $1.40) | ↑ 422.4% more |
| #10 |
GPT-5.4 Thinking
OpenAI
|
$1.397500 (rounded ~ $1.40) | ↑ 422.4% more |
| #11 |
GPT-6 Astra
OpenAI
|
$5.600000 | ↑ 1993.5% more |
| #12 |
GPT-6 Astra
OpenAI
|
$5.600000 | ↑ 1993.5% more |
Gemini 3.5 Flash-Lite Google
GPT-6 Luna OpenAI
Gemini 3.8 Flash Google
Gemini 3.6 Flash Google
Gemini 4 Argon Google
Gemini 2.5 Pro Google
GPT-6.1 Sol OpenAI
GPT-6 Sol OpenAI
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
For mobile developers building agentic browser automation tools, Claude Sonnet 5.5 has quickly become a standout option. It balances high-level reasoning with the speed required for tasks where an agent must navigate DOM elements, interpret visual cues, and make real-time decisions. Since agentic tasks often involve multi-step, iterative loops—where the model reads a page, decides on an action, and verifies the result—the efficiency of Sonnet 5.5 allows for more complex workflows without hitting latency bottlenecks.
Unlike heavier frontier models, Sonnet 5.5 excels at staying within the budget constraints typical of mobile-first AI features. Its ability to handle complex instructions reliably with reduced token overhead is a major advantage for developers who need to manage per-user costs. The model’s native tool-use capabilities are highly refined, making it particularly effective at translating high-level user goals into precise browser interactions. For applications where the user expects the agent to complete a purchase, book a service, or perform research autonomously, Sonnet 5.5 offers the necessary depth to handle failure states and unexpected website layouts gracefully.
When deploying at scale, the model’s predictable performance makes it easier to forecast monthly operational costs. Its strong performance on web-based benchmarks suggests it can handle the nuanced, often messy environment of real-world websites better than many smaller, faster models. For developers balancing accuracy with the need for a responsive UI, this model provides the necessary intelligence to act as a primary controller in the agentic loop.