Claude Sonnet 4.6 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.003750
Output: $0.003750
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 250,000 input tokens and 1,000 output tokens:
- Input Cost: $0.187500 (rounded ~ $0.19)
- Output Cost: $0.003750
- Total Cost: $0.106875 (rounded ~ $0.11)
- Cost per 1K tokens: $0.000426
- Tokens per dollar: 2,348,538 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: 9 minutes, 45.85 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: $0.001125
Output: $0.001125
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 250,000 input tokens and 1,000 output tokens:
- Input Cost: $0.046875 (rounded ~ $0.05)
- Output Cost: $0.001125
- Total Cost: $0.026906 (rounded ~ $0.03)
- Cost per 1K tokens: $0.000107
- Tokens per dollar: 9,328,688 tokens
- Context Window: 400000 tokens
Speed & Performance Analysis
With a processing speed of 500 tokens per second and 180ms time to first token:
- Processing Time: 8 minutes, 47.28 seconds
- Latency: 180 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 476 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for GPT-5.4 mini. 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 mini |
|---|---|---|---|---|
| 🏆 |
Grok Code Fast 1
xAI
|
$0.007250 (rounded ~ $0.01) Best Value | ↓ 93.2% cheaper | ↓ 73.1% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.008969 (rounded ~ $0.01) | ↓ 91.6% cheaper | ↓ 66.7% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.010938 | ↓ 89.8% cheaper | ↓ 59.3% cheaper |
| #4 |
Mistral Large 3
Mistral AI
|
$0.017563 (rounded ~ $0.02) | ↓ 83.6% cheaper | ↓ 34.7% cheaper |
| #5 |
GPT-5.4 mini
OpenAI
|
$0.026906 (rounded ~ $0.03) | ↓ 74.8% cheaper | Same price |
| #6 |
Claude Haiku 4.5
Anthropic
|
$0.035625 (rounded ~ $0.04) | ↓ 66.7% cheaper | ↑ 32.4% more |
| #7 |
Grok 4.3
xAI
|
$0.043594 (rounded ~ $0.04) | ↓ 59.2% cheaper | ↑ 62% more |
| #8 |
Gemini 3.5 Flash
Google
|
$0.053813 (rounded ~ $0.05) | ↓ 49.6% cheaper | ↑ 100% more |
| #9 |
Grok 4.20 Beta
xAI
|
$0.070250 | ↓ 34.3% cheaper | ↑ 161.1% more |
| #10 |
Gemini 3.1 Flash
Google
|
$0.071750 (rounded ~ $0.07) | ↓ 32.9% cheaper | ↑ 166.7% more |
| #11 |
Claude Opus 4.7
Anthropic
|
$0.178125 (rounded ~ $0.18) | ↑ 66.7% more | ↑ 562% more |
| #12 |
Claude Opus 4.8
Anthropic
|
$0.178125 (rounded ~ $0.18) | ↑ 66.7% more | ↑ 562% more |
| #13 |
Claude Opus 4.6
Anthropic
|
$0.178125 (rounded ~ $0.18) | ↑ 66.7% more | ↑ 562% more |
| #14 |
GPT-5.4
OpenAI
|
$0.179375 | ↑ 67.8% more | ↑ 566.7% more |
| #15 |
GPT-5.4 Thinking
OpenAI
|
$0.179375 | ↑ 67.8% more | ↑ 566.7% more |
| #16 |
Gemini 2.5 Pro
Google
|
$0.179375 | ↑ 67.8% more | ↑ 566.7% more |
| #17 |
GPT-5.5 Instant
OpenAI
|
$0.179375 | ↑ 67.8% more | ↑ 566.7% more |
| #18 |
Gemini 3.1 Pro
Google
|
$0.284000 (rounded ~ $0.28) | ↑ 165.7% more | ↑ 955.5% more |
| #19 |
GPT-5.5
OpenAI
|
$0.710000 | ↑ 564.3% more | ↑ 2538.8% more |
| #20 |
GPT-5.5
OpenAI
|
$0.710000 | ↑ 564.3% more | ↑ 2538.8% more |
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
GPT-5.4 mini OpenAI
Claude Haiku 4.5 Anthropic
Grok 4.3 xAI
Gemini 3.5 Flash Google
Grok 4.20 Beta xAI
Gemini 3.1 Flash Google
Claude Opus 4.7 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Gemini 2.5 Pro Google
GPT-5.5 Instant OpenAI
Gemini 3.1 Pro Google
GPT-5.5 OpenAI
GPT-5.5 OpenAI
Choosing the Right Agentic Model
For developers building agentic browser automation, the choice between Claude Sonnet 4.6 and GPT-5.4 mini often comes down to the balance between reasoning complexity and execution speed. Browser agents require models to reliably parse DOM structures, interpret visual cues, and execute multi-step plans without hallucinating actions. Both models excel at tool-calling, but they offer distinct advantages depending on your specific infrastructure.
Claude Sonnet 4.6 is frequently favored for tasks requiring high-fidelity adherence to complex system prompts. Its ability to maintain state and follow structured instructions makes it a strong candidate for workflows involving multi-step data extraction or high-stakes interactions where error rates must be kept to an absolute minimum.
Conversely, GPT-5.4 mini offers a leaner, more performant profile that is well-suited for high-frequency browser interactions where latency is a critical factor. If your agentic browser automation involves hundreds of lightweight, repetitive tasks—such as scraping product listings or verifying site availability—this model provides the necessary efficiency without sacrificing the tool-use reliability needed for navigation.
Ultimately, the decision rests on whether your automation pipeline prioritizes deep, multi-step logical reasoning (Claude) or rapid, high-volume execution (GPT). For most indie developers, experimenting with both in a staging environment is the best way to determine which model aligns with your agent’s specific error thresholds and latency requirements.