GPT-5.4 mini OpenAI
💰 Total Cost Calculation (from Plugin)
Output: $0.011250 (rounded ~ $0.01)
Output: $0.011250 (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 10,000 output tokens:
- Input Cost: $0.018750 (rounded ~ $0.02)
- Output Cost: $0.011250 (rounded ~ $0.01)
- Total Cost: $0.021563 (rounded ~ $0.02)
- Cost per 1K tokens: $0.000196
- Tokens per dollar: 5,101,449 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, 55.58 seconds
- Latency: 180 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 467 tokens/second (temperature-adjusted)
Best Use Cases
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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 →Claude Haiku 4.6 Anthropic
💰 Total Cost Calculation (from Plugin)
Output: $0.003125
Output: $0.003125
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 10,000 output tokens:
- Input Cost: $0.006250 (rounded ~ $0.01)
- Output Cost: $0.003125
- Total Cost: $0.006563 (rounded ~ $0.01)
- Cost per 1K tokens: $0.000060
- Tokens per dollar: 16,761,905 tokens
- Context Window: 200000 tokens
Speed & Performance Analysis
With a processing speed of 850 tokens per second and 75ms time to first token:
- Processing Time: 2 minutes, 18.65 seconds
- Latency: 75 milliseconds to first token
- Base Throughput: 850 tokens/second
- Effective Throughput: 794 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Claude Haiku 4.6. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.
Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.
Get my instant AI audit — $39 →✨ Market Recommendations AI Model Registry
← Back to GPT-5.4 mini| Rank | AI Model & Provider | Total Cost | vs GPT-5.4 mini | vs Claude Haiku 4.6 |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.002125 Best Value | ↓ 90.1% cheaper | ↓ 67.6% cheaper |
| 🥈 |
Devstral Small 2
Mistral AI
|
$0.002125 | ↓ 90.1% cheaper | ↓ 67.6% cheaper |
| 🥉 |
Nemotron 3 Super
NVIDIA
|
$0.006175 (rounded ~ $0.01) | ↓ 71.4% cheaper | ↓ 5.9% cheaper |
| #4 |
Gemini 3.1 Flash Lite
Google
|
$0.007188 (rounded ~ $0.01) | ↓ 66.7% cheaper | ↑ 9.5% more |
| #5 |
Devstral 2
Mistral AI
|
$0.007750 (rounded ~ $0.01) | ↓ 64.1% cheaper | ↑ 18.1% more |
| #6 |
Gemini 3.5 Flash-Lite
Google
|
$0.010375 | ↓ 51.9% cheaper | ↑ 58.1% more |
| #7 |
Gemini 2.5 Flash
Google
|
$0.010375 | ↓ 51.9% cheaper | ↑ 58.1% more |
| #8 |
Mistral Large 3
Mistral AI
|
$0.010625 | ↓ 50.7% cheaper | ↑ 61.9% more |
| #9 |
Gemini 3.8 Flash
Google
|
$0.019688 | ↓ 8.7% cheaper | ↑ 200% more |
| #10 |
o4-mini Deep Research
OpenAI
|
$0.023750 (rounded ~ $0.02) | ↑ 10.1% more | ↑ 261.9% more |
| #11 |
o4-mini
OpenAI
|
$0.026125 (rounded ~ $0.03) | ↑ 21.2% more | ↑ 298.1% more |
| #12 |
Claude Haiku 4.5
Anthropic
|
$0.026250 (rounded ~ $0.03) | ↑ 21.7% more | ↑ 300% more |
| #13 |
Gemini 3.1 Flash
Google
|
$0.028750 (rounded ~ $0.03) | ↑ 33.3% more | ↑ 338.1% more |
| #14 |
GPT-5.6 Luna
OpenAI
|
$0.028750 (rounded ~ $0.03) | ↑ 33.3% more | ↑ 338.1% more |
| #15 |
Gemini 3.6 Flash
Google
|
$0.039375 | ↑ 82.6% more | ↑ 500% more |
| #16 |
Magistral Medium
Mistral AI
|
$0.040000 | ↑ 85.5% more | ↑ 509.5% more |
| #17 |
Gemini 3.5 Flash
Google
|
$0.043125 (rounded ~ $0.04) | ↑ 100% more | ↑ 557.1% more |
| #18 |
Claude Sonnet 5
Anthropic
|
$0.052500 (rounded ~ $0.05) | ↑ 143.5% more | ↑ 700% more |
| #19 |
GPT-5.3 Codex Spark
OpenAI
|
$0.059063 | ↑ 173.9% more | ↑ 800% more |
| #20 |
GPT-5.3 Instant
OpenAI
|
$0.059063 | ↑ 173.9% more | ↑ 800% more |
| #21 |
GPT-5.6 Terra
OpenAI
|
$0.071875 (rounded ~ $0.07) | ↑ 233.3% more | ↑ 995.2% more |
| #22 |
Grok 4.3
xAI
|
$0.075000 (rounded ~ $0.08) | ↑ 247.8% more | ↑ 1042.9% more |
| #23 |
Grok 4.20 Beta
xAI
|
$0.075000 (rounded ~ $0.08) | ↑ 247.8% more | ↑ 1042.9% more |
| #24 |
Claude Sonnet 4.6
Anthropic
|
$0.078750 (rounded ~ $0.08) | ↑ 265.2% more | ↑ 1100% more |
| #25 |
Gemini 2.5 Pro
Google
|
$0.084375 (rounded ~ $0.08) | ↑ 291.3% more | ↑ 1185.7% more |
| #26 |
Gemini 3.1 Pro
Google
|
$0.115000 (rounded ~ $0.12) | ↑ 433.3% more | ↑ 1652.4% more |
| #27 |
Claude Opus 4.7
Anthropic
|
$0.131250 (rounded ~ $0.13) | ↑ 508.7% more | ↑ 1900% more |
| #28 |
Claude Opus 5
Anthropic
|
$0.131250 (rounded ~ $0.13) | ↑ 508.7% more | ↑ 1900% more |
| #29 |
Claude Opus 4.8
Anthropic
|
$0.131250 (rounded ~ $0.13) | ↑ 508.7% more | ↑ 1900% more |
| #30 |
Claude Opus 4.6
Anthropic
|
$0.131250 (rounded ~ $0.13) | ↑ 508.7% more | ↑ 1900% more |
| #31 |
GPT-5.4
OpenAI
|
$0.143750 (rounded ~ $0.14) | ↑ 566.7% more | ↑ 2090.5% more |
| #32 |
GPT-5.4 Thinking
OpenAI
|
$0.143750 (rounded ~ $0.14) | ↑ 566.7% more | ↑ 2090.5% more |
| #33 |
GPT-5.5 Instant
OpenAI
|
$0.143750 (rounded ~ $0.14) | ↑ 566.7% more | ↑ 2090.5% more |
| #34 |
GPT-5.6 Sol
OpenAI
|
$0.143750 (rounded ~ $0.14) | ↑ 566.7% more | ↑ 2090.5% more |
| #35 |
o3 Deep Research
OpenAI
|
$0.237500 (rounded ~ $0.24) | ↑ 1001.4% more | ↑ 3519% more |
| #36 |
Claude Fable 5.1
Anthropic
|
$0.253125 (rounded ~ $0.25) | ↑ 1073.9% more | ↑ 3757.1% more |
| #37 |
Claude Mythos 5.1
Anthropic
|
$0.253125 (rounded ~ $0.25) | ↑ 1073.9% more | ↑ 3757.1% more |
| #38 |
Claude Fable 5
Anthropic
|
$0.262500 (rounded ~ $0.26) | ↑ 1117.4% more | ↑ 3900% more |
| #39 |
Claude Mythos 5
Anthropic
|
$0.262500 (rounded ~ $0.26) | ↑ 1117.4% more | ↑ 3900% more |
| #40 |
GPT-5.5
OpenAI
|
$0.287500 (rounded ~ $0.29) | ↑ 1233.3% more | ↑ 4281% more |
| #41 |
o3 Pro
OpenAI
|
$0.475000 (rounded ~ $0.48) | ↑ 2102.9% more | ↑ 7138.1% more |
| #42 |
GPT-6 Astra
OpenAI
|
$0.525000 (rounded ~ $0.53) | ↑ 2334.8% more | ↑ 7900% more |
| #43 |
GPT-5.2 Pro
OpenAI
|
$0.708750 (rounded ~ $0.71) | ↑ 3187% more | ↑ 10700% more |
| #44 |
GPT-5.2 Pro
OpenAI
|
$0.708750 (rounded ~ $0.71) | ↑ 3187% more | ↑ 10700% more |
Mistral Small 3 Mistral AI
Devstral Small 2 Mistral AI
Nemotron 3 Super NVIDIA
Gemini 3.1 Flash Lite Google
Devstral 2 Mistral AI
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.8 Flash Google
o4-mini Deep Research OpenAI
o4-mini OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Magistral Medium Mistral AI
Gemini 3.5 Flash Google
Claude Sonnet 5 Anthropic
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
GPT-5.6 Terra OpenAI
Grok 4.3 xAI
Grok 4.20 Beta xAI
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 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
Marketing teams today face a unique challenge: the need to scale experimentation without ballooning operational costs. A/B testing is no longer just about changing a button color; it is about testing hundreds of copy variations across landing pages, ad creatives, and email sequences. When your pipeline requires generating 20 variations for every single campaign, the cost of inference becomes the most significant line item in your experimentation budget.
For high-throughput copywriting tasks, you need models that prioritize speed, structural adherence, and instruction following over general-purpose reasoning. Both GPT-5.4 mini and Claude Haiku 4.6 are designed specifically for this high-volume, low-latency environment. These models excel at maintaining brand voice across dozens of iterations while keeping latency low enough for real-time marketing dashboards.
Choosing between them often comes down to the specific orchestration architecture of your team. Claude Haiku 4.6 typically offers a distinct advantage in throughput consistency, making it a favorite for asynchronous batch processing where speed is the primary metric. GPT-5.4 mini, conversely, often demonstrates slightly higher capability in complex prompt adherence, which is beneficial if your A/B test variations need to follow strict formatting rules or include specific SEO keywords. For most marketing teams, the decision hinges on whether your existing tech stack is optimized for OpenAI’s ecosystem or Anthropic’s API implementation. Both models effectively turn a labor-intensive manual bottleneck into a scalable, automated laboratory for continuous conversion optimization.