Claude Sonnet 4.6 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.007500 (rounded ~ $0.01)
Output: $0.007500 (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 2,000 output tokens:
- Input Cost: $0.075000 (rounded ~ $0.08)
- Output Cost: $0.007500 (rounded ~ $0.01)
- Total Cost: $0.048750 (rounded ~ $0.05)
- Cost per 1K tokens: $0.000478
- Tokens per dollar: 2,092,308 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 minutes, 58.18 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 450 tokens/second
- Effective Throughput: 429 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: $0.180000
Output: $0.180000
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 2,000 output tokens:
- Input Cost: $1.500000
- Output Cost: $0.180000
- Total Cost: $1.005000 (rounded ~ $1.01)
- Cost per 1K tokens: $0.009853
- Tokens per dollar: 101,493 tokens
- Context Window: 1024000 tokens
Speed & Performance Analysis
With a processing speed of 350 tokens per second and 250ms time to first token:
- Processing Time: 5 minutes, 6.18 seconds
- Latency: 250 milliseconds to first token
- Base Throughput: 350 tokens/second
- Effective Throughput: 333 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for GPT-5.4 Pro. 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 GPT-5.4 Pro |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.001525 Best Value | ↓ 96.9% cheaper | ↓ 99.8% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.004188 | ↓ 91.4% cheaper | ↓ 99.6% cheaper |
| 🥉 |
Gemini 3.5 Flash-Lite
Google
|
$0.005375 (rounded ~ $0.01) | ↓ 89% cheaper | ↓ 99.5% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.005375 (rounded ~ $0.01) | ↓ 89% cheaper | ↓ 99.5% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.007625 (rounded ~ $0.01) | ↓ 84.4% cheaper | ↓ 99.2% cheaper |
| #6 |
Gemini 3.8 Flash
Google
|
$0.012188 (rounded ~ $0.01) | ↓ 75% cheaper | ↓ 98.8% cheaper |
| #7 |
GPT-5.4 mini
OpenAI
|
$0.012563 (rounded ~ $0.01) | ↓ 74.2% cheaper | ↓ 98.8% cheaper |
| #8 |
o4-mini Deep Research
OpenAI
|
$0.015750 (rounded ~ $0.02) | ↓ 67.7% cheaper | ↓ 98.4% cheaper |
| #9 |
Claude Haiku 4.5
Anthropic
|
$0.016250 (rounded ~ $0.02) | ↓ 66.7% cheaper | ↓ 98.4% cheaper |
| #10 |
Gemini 3.1 Flash
Google
|
$0.016750 (rounded ~ $0.02) | ↓ 65.6% cheaper | ↓ 98.3% cheaper |
| #11 |
GPT-5.6 Luna
OpenAI
|
$0.016750 (rounded ~ $0.02) | ↓ 65.6% cheaper | ↓ 98.3% cheaper |
| #12 |
o4-mini
OpenAI
|
$0.017325 (rounded ~ $0.02) | ↓ 64.5% cheaper | ↓ 98.3% cheaper |
| #13 |
Gemini 3.6 Flash
Google
|
$0.024375 (rounded ~ $0.02) | ↓ 50% cheaper | ↓ 97.6% cheaper |
| #14 |
Gemini 3.5 Flash
Google
|
$0.025125 (rounded ~ $0.03) | ↓ 48.5% cheaper | ↓ 97.5% cheaper |
| #15 |
GPT-5.3 Codex Spark
OpenAI
|
$0.031063 (rounded ~ $0.03) | ↓ 36.3% cheaper | ↓ 96.9% cheaper |
| #16 |
GPT-5.3 Instant
OpenAI
|
$0.031063 (rounded ~ $0.03) | ↓ 36.3% cheaper | ↓ 96.9% cheaper |
| #17 |
Claude Sonnet 5
Anthropic
|
$0.032500 (rounded ~ $0.03) | ↓ 33.3% cheaper | ↓ 96.8% cheaper |
| #18 |
GPT-5.6 Terra
OpenAI
|
$0.041875 (rounded ~ $0.04) | ↓ 14.1% cheaper | ↓ 95.8% cheaper |
| #19 |
Gemini 2.5 Pro
Google
|
$0.044375 (rounded ~ $0.04) | ↓ 9% cheaper | ↓ 95.6% cheaper |
| #20 |
Grok 4.3
xAI
|
$0.059000 (rounded ~ $0.06) | ↑ 21% more | ↓ 94.1% cheaper |
| #21 |
Grok 4.20 Beta
xAI
|
$0.059000 (rounded ~ $0.06) | ↑ 21% more | ↓ 94.1% cheaper |
| #22 |
Gemini 3.1 Pro
Google
|
$0.067000 (rounded ~ $0.07) | ↑ 37.4% more | ↓ 93.3% cheaper |
| #23 |
Claude Opus 4.7
Anthropic
|
$0.081250 (rounded ~ $0.08) | ↑ 66.7% more | ↓ 91.9% cheaper |
| #24 |
Claude Opus 5
Anthropic
|
$0.081250 (rounded ~ $0.08) | ↑ 66.7% more | ↓ 91.9% cheaper |
| #25 |
Claude Opus 4.8
Anthropic
|
$0.081250 (rounded ~ $0.08) | ↑ 66.7% more | ↓ 91.9% cheaper |
| #26 |
Claude Opus 4.6
Anthropic
|
$0.081250 (rounded ~ $0.08) | ↑ 66.7% more | ↓ 91.9% cheaper |
| #27 |
GPT-5.4
OpenAI
|
$0.083750 (rounded ~ $0.08) | ↑ 71.8% more | ↓ 91.7% cheaper |
| #28 |
GPT-5.4 Thinking
OpenAI
|
$0.083750 (rounded ~ $0.08) | ↑ 71.8% more | ↓ 91.7% cheaper |
| #29 |
GPT-5.5 Instant
OpenAI
|
$0.083750 (rounded ~ $0.08) | ↑ 71.8% more | ↓ 91.7% cheaper |
| #30 |
GPT-5.6 Sol
OpenAI
|
$0.083750 (rounded ~ $0.08) | ↑ 71.8% more | ↓ 91.7% cheaper |
| #31 |
Claude Fable 5.1
Anthropic
|
$0.153125 (rounded ~ $0.15) | ↑ 214.1% more | ↓ 84.8% cheaper |
| #32 |
Claude Mythos 5.1
Anthropic
|
$0.153125 (rounded ~ $0.15) | ↑ 214.1% more | ↓ 84.8% cheaper |
| #33 |
o3 Deep Research
OpenAI
|
$0.157500 (rounded ~ $0.16) | ↑ 223.1% more | ↓ 84.3% cheaper |
| #34 |
Claude Fable 5
Anthropic
|
$0.162500 (rounded ~ $0.16) | ↑ 233.3% more | ↓ 83.8% cheaper |
| #35 |
Claude Mythos 5
Anthropic
|
$0.162500 (rounded ~ $0.16) | ↑ 233.3% more | ↓ 83.8% cheaper |
| #36 |
GPT-5.5
OpenAI
|
$0.167500 (rounded ~ $0.17) | ↑ 243.6% more | ↓ 83.3% cheaper |
| #37 |
o3 Pro
OpenAI
|
$0.315000 (rounded ~ $0.32) | ↑ 546.2% more | ↓ 68.7% cheaper |
| #38 |
GPT-6 Astra
OpenAI
|
$0.325000 (rounded ~ $0.33) | ↑ 566.7% more | ↓ 67.7% cheaper |
| #39 |
GPT-5.2 Pro
OpenAI
|
$0.372750 (rounded ~ $0.37) | ↑ 664.6% more | ↓ 62.9% cheaper |
| #40 |
GPT-5.2 Pro
OpenAI
|
$0.372750 (rounded ~ $0.37) | ↑ 664.6% more | ↓ 62.9% cheaper |
Mistral Small 3 Mistral AI
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
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
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
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
o3 Deep Research OpenAI
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 developers prototyping autonomous browser agents, the choice between these two models often comes down to the balance of reasoning depth and latency. Both models support robust tool calling, essential for navigating complex DOM structures and executing multi-step web interactions. Claude Sonnet 4.6 has become a favorite for agentic workflows due to its balance of instruction following and speed, particularly in scenarios where an agent must iterate quickly on a page to identify actionable elements. Its ability to maintain coherence across longer, multi-step browser sessions makes it highly effective for tasks like automated form filling or data scraping from dynamic sites.
GPT-5.4 Pro offers a different value proposition. It excels in complex reasoning, making it the stronger candidate if your browser automation requires deep analysis of page content—for instance, deciding whether a search result is truly relevant based on nuanced criteria or handling unexpected modal dialogs. While the reasoning overhead can be higher, it significantly reduces the likelihood of an agent getting “stuck” in a loop. When scaling to 100K-token sessions, your decision rests on whether you prioritize the rapid, iterative agility of Sonnet 4.6 or the high-assurance reasoning of GPT-5.4 Pro. If your agent performs 50+ tool calls per session, the subtle differences in their tool-use reliability will significantly impact your final success rate and overall operational stability. Always test both against your specific site’s navigation patterns before committing to a full deployment.