o4-mini OpenAI
💰 Total Cost Calculation (from Plugin)
Output: $0.281600 (rounded ~ 0.28)
Output: $0.281600 (rounded ~ 0.28)
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 128,000 input tokens and 64,000 output tokens:
- Input Cost: $0.140800
- Output Cost: $0.281600 (rounded ~ 0.28)
- Total Cost: $0.422400 (rounded ~ 0.42)
- Cost per 1K tokens: $0.002200 (rounded ~ 0.00)
- Tokens per dollar: 454,545 tokens
- Context Window: 200000 tokens
Speed & Performance Analysis
With a processing speed of 180 tokens per second and 280ms time to first token:
- Processing Time: 18 minutes, 50.00 seconds
- Latency: 280 milliseconds to first token
- Base Throughput: 180 tokens/second
- Effective Throughput: 170 tokens/second (temperature-adjusted)
Best Use Cases
DeepSeek-R1-Lite DeepSeek
💰 Total Cost Calculation (from Plugin)
Output: $0.768000 (rounded ~ 0.77)
Output: $0.768000 (rounded ~ 0.77)
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 128,000 input tokens and 64,000 output tokens:
- Input Cost: $0.256000 (rounded ~ 0.26)
- Output Cost: $0.768000 (rounded ~ 0.77)
- Total Cost: $1.024000 (rounded ~ 1.02)
- Cost per 1K tokens: $0.005333 (rounded ~ 0.01)
- Tokens per dollar: 187,500 tokens
- Context Window: 32768 tokens
Speed & Performance Analysis
With a processing speed of 500 tokens per second and 200ms time to first token:
- Processing Time: 6 minutes, 47.00 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 472 tokens/second (temperature-adjusted)
Best Use Cases
✨ Market Recommendations AI Model Registry
← Back to o4-mini| Rank | AI Model & Provider | Total Cost | vs o4-mini | vs DeepSeek-R1-Lite |
|---|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.038400 (rounded ~ 0.04) Best Value | ↓ 90.9% cheaper | ↓ 96.3% cheaper |
| 🥈 |
Llama 4 Maverick (400B)
Meta AI
|
$0.088960 (rounded ~ 0.09) | ↓ 78.9% cheaper | ↓ 91.3% cheaper |
| 🥉 |
Mistral Large 3
Mistral AI
|
$0.640000 | ↑ 51.5% more | ↓ 37.5% cheaper |
| #4 |
Sonar Deep Research
Perplexity
|
$0.768000 (rounded ~ 0.77) | ↑ 81.8% more | ↓ 25% cheaper |
| #5 |
Gemini 3.1 Pro
Google
|
$1.024000 (rounded ~ 1.02) | ↑ 142.4% more | Same price |
| #6 |
GPT-5.3 Codex Spark
OpenAI
|
$1.120000 | ↑ 165.2% more | ↑ 9.4% more |
| #7 |
GPT-5.4 Thinking
OpenAI
|
$1.280000 | ↑ 203% more | ↑ 25% more |
| #8 |
Claude Sonnet 4.6
Anthropic
|
$1.344000 (rounded ~ 1.34) | ↑ 218.2% more | ↑ 31.3% more |
| #9 |
Grok 5
xAI
|
$1.344000 (rounded ~ 1.34) | ↑ 218.2% more | ↑ 31.3% more |
| #10 |
Sonar Pro
Perplexity
|
$1.354000 (rounded ~ 1.35) | ↑ 220.5% more | ↑ 32.2% more |
| #11 |
Claude Opus 4.6
Anthropic
|
$2.240000 | ↑ 430.3% more | ↑ 118.8% more |
| #12 |
o3 Deep Research
OpenAI
|
$3.840000 | ↑ 809.1% more | ↑ 275% more |
| #13 |
o3 Pro
OpenAI
|
$7.680000 | ↑ 1718.2% more | ↑ 650% more |
| #14 |
o3 Pro
OpenAI
|
$7.680000 | ↑ 1718.2% more | ↑ 650% more |
Gemini 3.1 Flash Lite Google
Llama 4 Maverick (400B) Meta AI
Mistral Large 3 Mistral AI
Sonar Deep Research Perplexity
Gemini 3.1 Pro Google
GPT-5.3 Codex Spark OpenAI
GPT-5.4 Thinking OpenAI
Claude Sonnet 4.6 Anthropic
Grok 5 xAI
Sonar Pro Perplexity
Claude Opus 4.6 Anthropic
o3 Deep Research OpenAI
o3 Pro OpenAI
o3 Pro OpenAI
Reinforcement Learning at Scale
o4-mini represents OpenAI’s cheapest reasoning model, using RL-tuning for complex tasks. DeepSeek-R1-Lite is even cheaper, but o4-mini offers better tool-calling stability and safer content filters for public-facing apps.