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: 4 minutes, 2.71 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 450 tokens/second
- Effective Throughput: 421 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: $0.002250
Output: $0.002250
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: $0.018750 (rounded ~ $0.02)
- Output Cost: $0.002250
- Total Cost: $0.012563 (rounded ~ $0.01)
- Cost per 1K tokens: $0.000123
- Tokens per dollar: 8,119,403 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: 3 minutes, 38.46 seconds
- Latency: 180 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 467 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 |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.001525 Best Value | ↓ 96.9% cheaper | ↓ 87.9% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$0.004188 | ↓ 91.4% cheaper | ↓ 66.7% cheaper |
| 🥉 |
Gemini 3.5 Flash-Lite
Google
|
$0.005375 (rounded ~ $0.01) | ↓ 89% cheaper | ↓ 57.2% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.005375 (rounded ~ $0.01) | ↓ 89% cheaper | ↓ 57.2% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.007625 (rounded ~ $0.01) | ↓ 84.4% cheaper | ↓ 39.3% cheaper |
| #6 |
Gemini 3.8 Flash
Google
|
$0.012188 (rounded ~ $0.01) | ↓ 75% cheaper | ↓ 3% cheaper |
| #7 |
GPT-5.4 mini
OpenAI
|
$0.012563 (rounded ~ $0.01) | ↓ 74.2% cheaper | Same price |
| #8 |
o4-mini Deep Research
OpenAI
|
$0.015750 (rounded ~ $0.02) | ↓ 67.7% cheaper | ↑ 25.4% more |
| #9 |
Claude Haiku 4.5
Anthropic
|
$0.016250 (rounded ~ $0.02) | ↓ 66.7% cheaper | ↑ 29.4% more |
| #10 |
Gemini 3.1 Flash
Google
|
$0.016750 (rounded ~ $0.02) | ↓ 65.6% cheaper | ↑ 33.3% more |
| #11 |
GPT-5.6 Luna
OpenAI
|
$0.016750 (rounded ~ $0.02) | ↓ 65.6% cheaper | ↑ 33.3% more |
| #12 |
o4-mini
OpenAI
|
$0.017325 (rounded ~ $0.02) | ↓ 64.5% cheaper | ↑ 37.9% more |
| #13 |
Gemini 3.6 Flash
Google
|
$0.024375 (rounded ~ $0.02) | ↓ 50% cheaper | ↑ 94% more |
| #14 |
Gemini 3.5 Flash
Google
|
$0.025125 (rounded ~ $0.03) | ↓ 48.5% cheaper | ↑ 100% more |
| #15 |
GPT-5.3 Codex Spark
OpenAI
|
$0.031063 (rounded ~ $0.03) | ↓ 36.3% cheaper | ↑ 147.3% more |
| #16 |
GPT-5.3 Instant
OpenAI
|
$0.031063 (rounded ~ $0.03) | ↓ 36.3% cheaper | ↑ 147.3% more |
| #17 |
Claude Sonnet 5
Anthropic
|
$0.032500 (rounded ~ $0.03) | ↓ 33.3% cheaper | ↑ 158.7% more |
| #18 |
GPT-5.6 Terra
OpenAI
|
$0.041875 (rounded ~ $0.04) | ↓ 14.1% cheaper | ↑ 233.3% more |
| #19 |
Gemini 2.5 Pro
Google
|
$0.044375 (rounded ~ $0.04) | ↓ 9% cheaper | ↑ 253.2% more |
| #20 |
Grok 4.3
xAI
|
$0.059000 (rounded ~ $0.06) | ↑ 21% more | ↑ 369.7% more |
| #21 |
Grok 4.20 Beta
xAI
|
$0.059000 (rounded ~ $0.06) | ↑ 21% more | ↑ 369.7% more |
| #22 |
Gemini 3.1 Pro
Google
|
$0.067000 (rounded ~ $0.07) | ↑ 37.4% more | ↑ 433.3% more |
| #23 |
Claude Opus 4.7
Anthropic
|
$0.081250 (rounded ~ $0.08) | ↑ 66.7% more | ↑ 546.8% more |
| #24 |
Claude Opus 5
Anthropic
|
$0.081250 (rounded ~ $0.08) | ↑ 66.7% more | ↑ 546.8% more |
| #25 |
Claude Opus 4.8
Anthropic
|
$0.081250 (rounded ~ $0.08) | ↑ 66.7% more | ↑ 546.8% more |
| #26 |
Claude Opus 4.6
Anthropic
|
$0.081250 (rounded ~ $0.08) | ↑ 66.7% more | ↑ 546.8% more |
| #27 |
GPT-5.4
OpenAI
|
$0.083750 (rounded ~ $0.08) | ↑ 71.8% more | ↑ 566.7% more |
| #28 |
GPT-5.4 Thinking
OpenAI
|
$0.083750 (rounded ~ $0.08) | ↑ 71.8% more | ↑ 566.7% more |
| #29 |
GPT-5.5 Instant
OpenAI
|
$0.083750 (rounded ~ $0.08) | ↑ 71.8% more | ↑ 566.7% more |
| #30 |
GPT-5.6 Sol
OpenAI
|
$0.083750 (rounded ~ $0.08) | ↑ 71.8% more | ↑ 566.7% more |
| #31 |
Claude Fable 5.1
Anthropic
|
$0.153125 (rounded ~ $0.15) | ↑ 214.1% more | ↑ 1118.9% more |
| #32 |
Claude Mythos 5.1
Anthropic
|
$0.153125 (rounded ~ $0.15) | ↑ 214.1% more | ↑ 1118.9% more |
| #33 |
o3 Deep Research
OpenAI
|
$0.157500 (rounded ~ $0.16) | ↑ 223.1% more | ↑ 1153.7% more |
| #34 |
Claude Fable 5
Anthropic
|
$0.162500 (rounded ~ $0.16) | ↑ 233.3% more | ↑ 1193.5% more |
| #35 |
Claude Mythos 5
Anthropic
|
$0.162500 (rounded ~ $0.16) | ↑ 233.3% more | ↑ 1193.5% more |
| #36 |
GPT-5.5
OpenAI
|
$0.167500 (rounded ~ $0.17) | ↑ 243.6% more | ↑ 1233.3% more |
| #37 |
o3 Pro
OpenAI
|
$0.315000 (rounded ~ $0.32) | ↑ 546.2% more | ↑ 2407.5% more |
| #38 |
GPT-6 Astra
OpenAI
|
$0.325000 (rounded ~ $0.33) | ↑ 566.7% more | ↑ 2487.1% more |
| #39 |
GPT-5.2 Pro
OpenAI
|
$0.372750 (rounded ~ $0.37) | ↑ 664.6% more | ↑ 2867.2% more |
| #40 |
GPT-5.2 Pro
OpenAI
|
$0.372750 (rounded ~ $0.37) | ↑ 664.6% more | ↑ 2867.2% more |
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
When designing multi-turn customer support agents, the balance between instruction following and operational cost is critical. Claude Sonnet 4.6 is frequently cited for its nuanced ability to maintain personality and tone throughout long conversations, which is essential for brand consistency in support tickets. Its architecture handles complex, multi-step instructions without losing the thread of the user’s intent, making it a reliable choice for technical support scenarios where precision is paramount.
On the other hand, GPT-5.4 mini offers a distinct advantage for high-volume scenarios where speed and cost-efficiency are the primary drivers. It excels in delivering concise, structured responses that can significantly reduce the total token output in a multi-turn conversation without sacrificing the core utility of the support interaction. For indie developers or teams managing a high volume of routine queries, this model provides an agile solution that keeps latency low.
Deciding between these two comes down to the nature of your support volume. If your project prioritizes deep, empathetic, and highly accurate resolutions, Claude Sonnet 4.6 generally provides a superior experience. If your support pipeline focuses on rapid categorization, triage, or resolving common FAQ-style queries, GPT-5.4 mini’s performance profile is often the more pragmatic fit. Both models handle the 100K-token batch volume effectively, but they cater to different philosophies of automated customer interaction.