GPT-5.4 OpenAI 1024000
💰 Total Cost Calculation (from Plugin)
Output: $0.006000 (rounded ~ $0.01)
Output: $0.006000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 5,000 input tokens and 800 output tokens:
- Input Cost: $0.006250 (rounded ~ $0.01)
- Output Cost: $0.006000 (rounded ~ $0.01)
- Total Cost: $0.009438
- Cost per 1K tokens: $0.001627
- Tokens per dollar: 614,570 tokens
- Context Window: 1024000 tokens
Speed & Performance Analysis
With a processing speed of 420 tokens per second and 210ms time to first token:
- Processing Time: 14.96 seconds
- Latency: 210 milliseconds to first token
- Base Throughput: 420 tokens/second
- Effective Throughput: 393 tokens/second (temperature-adjusted)
Best Use Cases
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This calculator shows the math for GPT-5.4. 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 →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 5,000 input tokens and 800 output tokens:
- Input Cost: $0.003750
- Output Cost: $0.003000
- Total Cost: $0.005063 (rounded ~ $0.01)
- Cost per 1K tokens: $0.000873
- Tokens per dollar: 1,145,679 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: 13.97 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 450 tokens/second
- Effective Throughput: 421 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
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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Get my instant AI audit — $39 →✨ Market Recommendations AI Model Registry
← Back to GPT-5.4| Rank | AI Model & Provider | Total Cost | vs GPT-5.4 | vs Claude Sonnet 4.6 |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.000129 Best Value | ↓ 98.6% cheaper | ↓ 97.5% cheaper |
| 🥈 |
Voxtral Small 24B
Mistral AI
|
$0.000129 | ↓ 98.6% cheaper | ↓ 97.5% cheaper |
| 🥉 |
Devstral Small 2
Mistral AI
|
$0.000129 | ↓ 98.6% cheaper | ↓ 97.5% cheaper |
| #4 |
Ministral 3 (14B)
Mistral AI
|
$0.000178 | ↓ 98.1% cheaper | ↓ 96.5% cheaper |
| #5 |
Nemotron 3 Super
NVIDIA
|
$0.000370 | ↓ 96.1% cheaper | ↓ 92.7% cheaper |
| #6 |
Devstral 2
Mistral AI
|
$0.000455 | ↓ 95.2% cheaper | ↓ 91% cheaper |
| #7 |
Gemini 3.1 Flash Lite
Google
|
$0.000472 | ↓ 95% cheaper | ↓ 90.7% cheaper |
| #8 |
Mistral Large 3
Mistral AI
|
$0.000644 | ↓ 93.2% cheaper | ↓ 87.3% cheaper |
| #9 |
Gemini 3.5 Flash-Lite
Google
|
$0.000706 | ↓ 92.5% cheaper | ↓ 86% cheaper |
| #10 |
Gemini 2.5 Flash
Google
|
$0.000706 | ↓ 92.5% cheaper | ↓ 86% cheaper |
| #11 |
Gemini 3.8 Flash
Google
|
$0.001266 | ↓ 86.6% cheaper | ↓ 75% cheaper |
| #12 |
GPT-5.4 mini
OpenAI
|
$0.001416 | ↓ 85% cheaper | ↓ 72% cheaper |
| #13 |
o4-mini Deep Research
OpenAI
|
$0.001488 | ↓ 84.2% cheaper | ↓ 70.6% cheaper |
| #14 |
o4-mini
OpenAI
|
$0.001636 | ↓ 82.7% cheaper | ↓ 67.7% cheaper |
| #15 |
Claude Haiku 4.5
Anthropic
|
$0.001688 | ↓ 82.1% cheaper | ↓ 66.7% cheaper |
| #16 |
Gemini 3.1 Flash
Google
|
$0.001888 | ↓ 80% cheaper | ↓ 62.7% cheaper |
| #17 |
GPT-5.6 Luna
OpenAI
|
$0.001888 | ↓ 80% cheaper | ↓ 62.7% cheaper |
| #18 |
Magistral Medium
Mistral AI
|
$0.002375 | ↓ 74.8% cheaper | ↓ 53.1% cheaper |
| #19 |
Gemini 3.6 Flash
Google
|
$0.002531 | ↓ 73.2% cheaper | ↓ 50% cheaper |
| #20 |
Gemini 3.5 Flash
Google
|
$0.002831 | ↓ 70% cheaper | ↓ 44.1% cheaper |
| #21 |
Claude Sonnet 5
Anthropic
|
$0.003375 | ↓ 64.2% cheaper | ↓ 33.3% cheaper |
| #22 |
GPT-5.3 Codex Spark
OpenAI
|
$0.004003 | ↓ 57.6% cheaper | ↓ 20.9% cheaper |
| #23 |
GPT-5.3 Instant
OpenAI
|
$0.004003 | ↓ 57.6% cheaper | ↓ 20.9% cheaper |
| #24 |
Grok 4.3
xAI
|
$0.004350 | ↓ 53.9% cheaper | ↓ 14.1% cheaper |
| #25 |
Grok 4.20 Beta
xAI
|
$0.004350 | ↓ 53.9% cheaper | ↓ 14.1% cheaper |
| #26 |
GPT-5.6 Terra
OpenAI
|
$0.004719 | ↓ 50% cheaper | ↓ 6.8% cheaper |
| #27 |
Claude Sonnet 4.6
Anthropic
|
$0.005063 (rounded ~ $0.01) | ↓ 46.4% cheaper | Same price |
| #28 |
Gemini 2.5 Pro
Google
|
$0.005719 (rounded ~ $0.01) | ↓ 39.4% cheaper | ↑ 13% more |
| #29 |
Gemini 3.1 Pro
Google
|
$0.007550 (rounded ~ $0.01) | ↓ 20% cheaper | ↑ 49.1% more |
| #30 |
Claude Opus 4.7
Anthropic
|
$0.008438 (rounded ~ $0.01) | ↓ 10.6% cheaper | ↑ 66.7% more |
| #31 |
Claude Opus 5
Anthropic
|
$0.008438 (rounded ~ $0.01) | ↓ 10.6% cheaper | ↑ 66.7% more |
| #32 |
Claude Opus 4.8
Anthropic
|
$0.008438 (rounded ~ $0.01) | ↓ 10.6% cheaper | ↑ 66.7% more |
| #33 |
Claude Opus 4.6
Anthropic
|
$0.008438 (rounded ~ $0.01) | ↓ 10.6% cheaper | ↑ 66.7% more |
| #34 |
GPT-5.4 Thinking
OpenAI
|
$0.009438 | Same price | ↑ 86.4% more |
| #35 |
GPT-5.5 Instant
OpenAI
|
$0.009438 | Same price | ↑ 86.4% more |
| #36 |
GPT-5.6 Sol
OpenAI
|
$0.009438 | Same price | ↑ 86.4% more |
| #37 |
o3 Deep Research
OpenAI
|
$0.014875 (rounded ~ $0.01) | ↑ 57.6% more | ↑ 193.8% more |
| #38 |
Claude Fable 5.1
Anthropic
|
$0.016406 (rounded ~ $0.02) | ↑ 73.8% more | ↑ 224.1% more |
| #39 |
Claude Mythos 5.1
Anthropic
|
$0.016406 (rounded ~ $0.02) | ↑ 73.8% more | ↑ 224.1% more |
| #40 |
Claude Fable 5
Anthropic
|
$0.016875 (rounded ~ $0.02) | ↑ 78.8% more | ↑ 233.3% more |
| #41 |
Claude Mythos 5
Anthropic
|
$0.016875 (rounded ~ $0.02) | ↑ 78.8% more | ↑ 233.3% more |
| #42 |
GPT-5.5
OpenAI
|
$0.018875 (rounded ~ $0.02) | ↑ 100% more | ↑ 272.8% more |
| #43 |
o3 Pro
OpenAI
|
$0.029750 | ↑ 215.2% more | ↑ 487.7% more |
| #44 |
GPT-6 Astra
OpenAI
|
$0.033750 (rounded ~ $0.03) | ↑ 257.6% more | ↑ 566.7% more |
| #45 |
GPT-5.2 Pro
OpenAI
|
$0.048038 (rounded ~ $0.05) | ↑ 409% more | ↑ 848.9% more |
| #46 |
GPT-5.2 Pro
OpenAI
|
$0.048038 (rounded ~ $0.05) | ↑ 409% more | ↑ 848.9% more |
Mistral Small 3 Mistral AI
Voxtral Small 24B Mistral AI
Devstral Small 2 Mistral AI
Ministral 3 (14B) 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
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
o4-mini OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
Magistral Medium Mistral AI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Claude Sonnet 5 Anthropic
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Grok 4.3 xAI
Grok 4.20 Beta xAI
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
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 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 Your Bulk Generation Engine
For SaaS product teams managing 5,000-description catalogs, the choice between GPT-5.4 and Claude Sonnet 4.6 is a tradeoff between raw versatility and structured adherence. GPT-5.4 excels when your workflow requires a model that handles a wide variety of tasks—from brainstorming to complex reasoning—without needing constant prompt adjustment. Its unified architecture makes it a swiss-army knife, reducing the need for multiple specialized models.
Claude Sonnet 4.6, conversely, is often the preferred choice for teams that prioritize precision and adherence to strict formatting schemas. If your product descriptions require specific tone constraints, JSON-structured outputs, or complex multi-step instructions, Sonnet 4.6 consistently delivers fewer errors in schema compliance. This predictability is critical when you are automating thousands of items, as a single malformed output can break downstream database imports.
Beyond performance, consider your deployment architecture. GPT-5.4 is highly flexible across various budget tiers, making it easier to scale from prototype to production. However, Sonnet 4.6 offers significant advantages in cost predictability for enterprise teams through its native support for caching and batch processing. For bulk generation, evaluate whether your priority is the ‘ease of use’ that comes with OpenAI’s massive integration ecosystem or the ‘strict architectural control’ offered by Anthropic’s focused approach. Both models are highly capable, but the right fit depends on whether your team values rapid, broad-spectrum agility or deep-process reliability.