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 |
|---|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.008969 (rounded ~ $0.01) Best Value | ↓ 91.6% cheaper | ↓ 66.7% cheaper |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.010938 | ↓ 89.8% cheaper | ↓ 59.3% 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 |
Gemini 3.8 Flash
Google
|
$0.026719 (rounded ~ $0.03) | ↓ 75% cheaper | ↓ 0.7% cheaper |
| #6 |
GPT-5.4 mini
OpenAI
|
$0.026906 (rounded ~ $0.03) | ↓ 74.8% cheaper | Same price |
| #7 |
Claude Haiku 4.5
Anthropic
|
$0.035625 (rounded ~ $0.04) | ↓ 66.7% cheaper | ↑ 32.4% more |
| #8 |
GPT-5.6 Luna
OpenAI
|
$0.035875 (rounded ~ $0.04) | ↓ 66.4% cheaper | ↑ 33.3% more |
| #9 |
Gemini 3.6 Flash
Google
|
$0.053438 (rounded ~ $0.05) | ↓ 50% cheaper | ↑ 98.6% more |
| #10 |
Gemini 3.5 Flash
Google
|
$0.053813 (rounded ~ $0.05) | ↓ 49.6% cheaper | ↑ 100% more |
| #11 |
Claude Sonnet 5
Anthropic
|
$0.071250 (rounded ~ $0.07) | ↓ 33.3% cheaper | ↑ 164.8% more |
| #12 |
Gemini 3.1 Flash
Google
|
$0.071750 (rounded ~ $0.07) | ↓ 32.9% cheaper | ↑ 166.7% more |
| #13 |
GPT-5.6 Terra
OpenAI
|
$0.089688 | ↓ 16.1% cheaper | ↑ 233.3% more |
| #14 |
Claude Opus 4.7
Anthropic
|
$0.178125 (rounded ~ $0.18) | ↑ 66.7% more | ↑ 562% more |
| #15 |
Claude Opus 5
Anthropic
|
$0.178125 (rounded ~ $0.18) | ↑ 66.7% more | ↑ 562% more |
| #16 |
Claude Opus 4.8
Anthropic
|
$0.178125 (rounded ~ $0.18) | ↑ 66.7% more | ↑ 562% more |
| #17 |
Claude Opus 4.6
Anthropic
|
$0.178125 (rounded ~ $0.18) | ↑ 66.7% more | ↑ 562% more |
| #18 |
GPT-5.4
OpenAI
|
$0.179375 | ↑ 67.8% more | ↑ 566.7% more |
| #19 |
GPT-5.4 Thinking
OpenAI
|
$0.179375 | ↑ 67.8% more | ↑ 566.7% more |
| #20 |
Gemini 2.5 Pro
Google
|
$0.179375 | ↑ 67.8% more | ↑ 566.7% more |
| #21 |
GPT-5.5 Instant
OpenAI
|
$0.179375 | ↑ 67.8% more | ↑ 566.7% more |
| #22 |
GPT-5.6 Sol
OpenAI
|
$0.179375 | ↑ 67.8% more | ↑ 566.7% more |
| #23 |
Grok 4.3
xAI
|
$0.279000 (rounded ~ $0.28) | ↑ 161.1% more | ↑ 936.9% more |
| #24 |
Grok 4.20 Beta
xAI
|
$0.279000 (rounded ~ $0.28) | ↑ 161.1% more | ↑ 936.9% more |
| #25 |
Gemini 3.1 Pro
Google
|
$0.284000 (rounded ~ $0.28) | ↑ 165.7% more | ↑ 955.5% more |
| #26 |
Claude Fable 5.1
Anthropic
|
$0.332813 (rounded ~ $0.33) | ↑ 211.4% more | ↑ 1136.9% more |
| #27 |
Claude Mythos 5.1
Anthropic
|
$0.332813 (rounded ~ $0.33) | ↑ 211.4% more | ↑ 1136.9% more |
| #28 |
Claude Fable 5
Anthropic
|
$0.356250 (rounded ~ $0.36) | ↑ 233.3% more | ↑ 1224% more |
| #29 |
Claude Mythos 5
Anthropic
|
$0.356250 (rounded ~ $0.36) | ↑ 233.3% more | ↑ 1224% more |
| #30 |
GPT-5.5
OpenAI
|
$0.710000 | ↑ 564.3% more | ↑ 2538.8% more |
| #31 |
GPT-6 Astra
OpenAI
|
$1.425000 (rounded ~ $1.43) | ↑ 1233.3% more | ↑ 5196.2% more |
| #32 |
GPT-6 Astra
OpenAI
|
$1.425000 (rounded ~ $1.43) | ↑ 1233.3% more | ↑ 5196.2% more |
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
Claude Haiku 4.5 Anthropic
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Claude Sonnet 5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Terra OpenAI
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
Gemini 2.5 Pro Google
GPT-5.5 Instant OpenAI
GPT-5.6 Sol OpenAI
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 3.1 Pro Google
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
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.