Claude Sonnet 4.6 Anthropic 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.003000
Output: $0.003000
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500 input tokens and 800 output tokens:
- Input Cost: $0.000375
- Output Cost: $0.003000
- Total Cost: $0.003274
- Cost per 1K tokens: $0.002518
- Tokens per dollar: 397,098 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: 3.27 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: $0.000900
Output: $0.000900
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500 input tokens and 800 output tokens:
- Input Cost: $0.000094
- Output Cost: $0.000900
- Total Cost: $0.000968
- Cost per 1K tokens: $0.000745
- Tokens per dollar: 1,342,369 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: 2.96 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 |
|---|---|---|---|---|
| 🏆 |
Ministral 3 (14B)
Mistral AI
|
$0.000058 Best Value | ↓ 98.2% cheaper | ↓ 94% cheaper |
| 🥈 |
Mistral Small 3
Mistral AI
|
$0.000069 | ↓ 97.9% cheaper | ↓ 92.9% cheaper |
| 🥉 |
Voxtral Small 24B
Mistral AI
|
$0.000069 | ↓ 97.9% cheaper | ↓ 92.9% cheaper |
| #4 |
Devstral Small 2
Mistral AI
|
$0.000069 | ↓ 97.9% cheaper | ↓ 92.9% cheaper |
| #5 |
Nemotron 3 Super
NVIDIA
|
$0.000191 | ↓ 94.2% cheaper | ↓ 80.2% cheaper |
| #6 |
Devstral 2
Mistral AI
|
$0.000217 | ↓ 93.4% cheaper | ↓ 77.6% cheaper |
| #7 |
Gemini 3.1 Flash Lite
Google
|
$0.000323 | ↓ 90.1% cheaper | ↓ 66.7% cheaper |
| #8 |
Mistral Large 3
Mistral AI
|
$0.000346 | ↓ 89.4% cheaper | ↓ 64.3% cheaper |
| #9 |
Gemini 3.5 Flash-Lite
Google
|
$0.000527 | ↓ 83.9% cheaper | ↓ 45.5% cheaper |
| #10 |
Gemini 2.5 Flash
Google
|
$0.000527 | ↓ 83.9% cheaper | ↓ 45.5% cheaper |
| #11 |
Gemini 3.8 Flash
Google
|
$0.000818 | ↓ 75% cheaper | ↓ 15.5% cheaper |
| #12 |
o4-mini Deep Research
OpenAI
|
$0.000891 | ↓ 72.8% cheaper | ↓ 8% cheaper |
| #13 |
GPT-5.4 mini
OpenAI
|
$0.000968 | ↓ 70.4% cheaper | Same price |
| #14 |
o4-mini
OpenAI
|
$0.000980 | ↓ 70.1% cheaper | ↑ 1.2% more |
| #15 |
Claude Haiku 4.5
Anthropic
|
$0.001091 | ↓ 66.7% cheaper | ↑ 12.7% more |
| #16 |
Magistral Medium
Mistral AI
|
$0.001183 | ↓ 63.9% cheaper | ↑ 22.1% more |
| #17 |
Gemini 3.1 Flash
Google
|
$0.001291 | ↓ 60.6% cheaper | ↑ 33.3% more |
| #18 |
GPT-5.6 Luna
OpenAI
|
$0.001291 | ↓ 60.6% cheaper | ↑ 33.3% more |
| #19 |
Gemini 3.6 Flash
Google
|
$0.001637 | ↓ 50% cheaper | ↑ 69% more |
| #20 |
Gemini 3.5 Flash
Google
|
$0.001937 | ↓ 40.8% cheaper | ↑ 100% more |
| #21 |
Grok 4.3
xAI
|
$0.001965 | ↓ 40% cheaper | ↑ 102.9% more |
| #22 |
Grok 4.20 Beta
xAI
|
$0.001965 | ↓ 40% cheaper | ↑ 102.9% more |
| #23 |
Claude Sonnet 5
Anthropic
|
$0.002183 | ↓ 33.3% cheaper | ↑ 125.4% more |
| #24 |
GPT-5.3 Codex Spark
OpenAI
|
$0.002960 | ↓ 9.6% cheaper | ↑ 205.6% more |
| #25 |
GPT-5.3 Instant
OpenAI
|
$0.002960 | ↓ 9.6% cheaper | ↑ 205.6% more |
| #26 |
GPT-5.6 Terra
OpenAI
|
$0.003228 | ↓ 1.4% cheaper | ↑ 233.3% more |
| #27 |
Gemini 2.5 Pro
Google
|
$0.004228 | ↑ 29.2% more | ↑ 336.6% more |
| #28 |
Gemini 3.1 Pro
Google
|
$0.005165 (rounded ~ $0.01) | ↑ 57.8% more | ↑ 433.3% more |
| #29 |
Claude Opus 4.7
Anthropic
|
$0.005456 (rounded ~ $0.01) | ↑ 66.7% more | ↑ 463.4% more |
| #30 |
Claude Opus 5
Anthropic
|
$0.005456 (rounded ~ $0.01) | ↑ 66.7% more | ↑ 463.4% more |
| #31 |
Claude Opus 4.8
Anthropic
|
$0.005456 (rounded ~ $0.01) | ↑ 66.7% more | ↑ 463.4% more |
| #32 |
Claude Opus 4.6
Anthropic
|
$0.005456 (rounded ~ $0.01) | ↑ 66.7% more | ↑ 463.4% more |
| #33 |
GPT-5.4
OpenAI
|
$0.006456 (rounded ~ $0.01) | ↑ 97.2% more | ↑ 566.7% more |
| #34 |
GPT-5.4 Thinking
OpenAI
|
$0.006456 (rounded ~ $0.01) | ↑ 97.2% more | ↑ 566.7% more |
| #35 |
GPT-5.5 Instant
OpenAI
|
$0.006456 (rounded ~ $0.01) | ↑ 97.2% more | ↑ 566.7% more |
| #36 |
GPT-5.6 Sol
OpenAI
|
$0.006456 (rounded ~ $0.01) | ↑ 97.2% more | ↑ 566.7% more |
| #37 |
o3 Deep Research
OpenAI
|
$0.008913 (rounded ~ $0.01) | ↑ 172.2% more | ↑ 820.3% more |
| #38 |
Claude Fable 5.1
Anthropic
|
$0.010884 | ↑ 232.5% more | ↑ 1023.9% more |
| #39 |
Claude Mythos 5.1
Anthropic
|
$0.010884 | ↑ 232.5% more | ↑ 1023.9% more |
| #40 |
Claude Fable 5
Anthropic
|
$0.010913 | ↑ 233.3% more | ↑ 1026.8% more |
| #41 |
Claude Mythos 5
Anthropic
|
$0.010913 | ↑ 233.3% more | ↑ 1026.8% more |
| #42 |
GPT-5.5
OpenAI
|
$0.012913 (rounded ~ $0.01) | ↑ 294.4% more | ↑ 1233.3% more |
| #43 |
o3 Pro
OpenAI
|
$0.017825 (rounded ~ $0.02) | ↑ 444.5% more | ↑ 1740.6% more |
| #44 |
GPT-6 Astra
OpenAI
|
$0.021825 (rounded ~ $0.02) | ↑ 566.7% more | ↑ 2153.6% more |
| #45 |
GPT-5.2 Pro
OpenAI
|
$0.035516 (rounded ~ $0.04) | ↑ 984.9% more | ↑ 3567.4% more |
| #46 |
GPT-5.2 Pro
OpenAI
|
$0.035516 (rounded ~ $0.04) | ↑ 984.9% more | ↑ 3567.4% more |
Ministral 3 (14B) Mistral AI
Mistral Small 3 Mistral AI
Voxtral Small 24B Mistral AI
Devstral Small 2 Mistral AI
Nemotron 3 Super NVIDIA
Devstral 2 Mistral AI
Gemini 3.1 Flash Lite Google
Mistral Large 3 Mistral AI
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.8 Flash Google
o4-mini Deep Research OpenAI
GPT-5.4 mini OpenAI
o4-mini OpenAI
Claude Haiku 4.5 Anthropic
Magistral Medium Mistral AI
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Grok 4.3 xAI
Grok 4.20 Beta xAI
Claude Sonnet 5 Anthropic
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
GPT-5.6 Terra OpenAI
Gemini 2.5 Pro Google
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
o3 Deep Research OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
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
Choosing the Right Engine for Marketing Content
Selecting between Claude Sonnet 4.6 and GPT-5.4 mini for bulk content generation often comes down to the specific nuance and reasoning depth required for your brand. Claude Sonnet 4.6 is frequently favored for long-form, editorial-style product descriptions where natural flow, high-level instruction following, and a sophisticated tone are paramount. Its architectural focus on precision allows it to adhere to complex constraints regarding brand voice, which is essential for maintaining consistency across a large catalog.
Conversely, GPT-5.4 mini is engineered to be a highly versatile, efficient workhorse for rapid content generation. For teams that need to churn through high-volume, structured data where speed and cost-per-call are the primary bottlenecks, this model offers a highly optimized performance profile. Its agility makes it particularly effective for scenarios involving repetitive, template-driven copywriting where the model must maintain strict adherence to defined schemas while navigating high-concurrency environments.
The decision typically hinges on your production trade-offs. If your content strategy relies on complex reasoning, cross-referencing multiple attributes, or subtle brand-voice adaptation, the architectural strengths of Sonnet 4.6 often justify its integration. If your priority is absolute maximum throughput for straightforward, schema-based descriptions, GPT-5.4 mini provides a lean, efficient path forward. Both models are highly capable, but their performance profiles in real-world agentic pipelines will reveal different operational efficiencies based on your specific prompt complexity and latency requirements.