o3 Pro OpenAI
💰 Total Cost Calculation (from Plugin)
Output: $0.240000
Output: $0.240000
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 50,000 input tokens and 3,000 output tokens:
- Input Cost: $1.000000
- Output Cost: $0.240000
- Total Cost: $0.790000
- Cost per 1K tokens: $0.014906 (rounded ~ $0.01)
- Tokens per dollar: 67,089 tokens
- Context Window: 200000 tokens
Speed & Performance Analysis
With a processing speed of 350 tokens per second and 300ms time to first token:
- Processing Time: 2 minutes, 39.18 seconds
- Latency: 300 milliseconds to first token
- Base Throughput: 350 tokens/second
- Effective Throughput: 333 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to o3 Pro| Rank | AI Model & Provider | Total Cost | vs o3 Pro |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.003650 Best Value | ↓ 99.5% cheaper |
| 🥈 |
Grok Code Fast 1
xAI
|
$0.010000 | ↓ 98.7% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.011375 (rounded ~ $0.01) | ↓ 98.6% cheaper |
| #4 |
Gemini 3.5 Flash-Lite
Google
|
$0.015750 (rounded ~ $0.02) | ↓ 98% cheaper |
| #5 |
Gemini 2.5 Flash
Google
|
$0.015750 (rounded ~ $0.02) | ↓ 98% cheaper |
| #6 |
Mistral Large 3
Mistral AI
|
$0.018250 (rounded ~ $0.02) | ↓ 97.7% cheaper |
| #7 |
Gemini 3.1 Flash
Google
|
$0.022750 (rounded ~ $0.02) | ↓ 97.1% cheaper |
| #8 |
Kimi K2.5
Moonshot AI
|
$0.026550 (rounded ~ $0.03) | ↓ 96.6% cheaper |
| #9 |
Gemini 3.8 Flash
Google
|
$0.031875 (rounded ~ $0.03) | ↓ 96% cheaper |
| #10 |
Grok Build 0.1
xAI
|
$0.033500 (rounded ~ $0.03) | ↓ 95.8% cheaper |
| #11 |
GPT-5.4 mini
OpenAI
|
$0.034125 (rounded ~ $0.03) | ↓ 95.7% cheaper |
| #12 |
o4-mini Deep Research
OpenAI
|
$0.039500 | ↓ 95% cheaper |
| #13 |
Kimi K2.6
Moonshot AI
|
$0.039788 | ↓ 95% cheaper |
| #14 |
Kimi K2.7 Code
Moonshot AI
|
$0.039788 | ↓ 95% cheaper |
| #15 |
Grok 4.3
xAI
|
$0.041875 (rounded ~ $0.04) | ↓ 94.7% cheaper |
| #16 |
Grok 4.20 Beta
xAI
|
$0.041875 (rounded ~ $0.04) | ↓ 94.7% cheaper |
| #17 |
Claude Haiku 4.5
Anthropic
|
$0.042500 (rounded ~ $0.04) | ↓ 94.6% cheaper |
| #18 |
o4-mini
OpenAI
|
$0.043450 (rounded ~ $0.04) | ↓ 94.5% cheaper |
| #19 |
GPT-5.6 Luna
OpenAI
|
$0.045500 (rounded ~ $0.05) | ↓ 94.2% cheaper |
| #20 |
Gemini 3.6 Flash
Google
|
$0.063750 (rounded ~ $0.06) | ↓ 91.9% cheaper |
| #21 |
Gemini 2.5 Pro
Google
|
$0.064375 (rounded ~ $0.06) | ↓ 91.9% cheaper |
| #22 |
Gemini 3.5 Flash
Google
|
$0.068250 (rounded ~ $0.07) | ↓ 91.4% cheaper |
| #23 |
Grok 4.6
xAI
|
$0.073000 (rounded ~ $0.07) | ↓ 90.8% cheaper |
| #24 |
Grok 4.5
xAI
|
$0.073000 (rounded ~ $0.07) | ↓ 90.8% cheaper |
| #25 |
Claude Sonnet 5
Anthropic
|
$0.085000 (rounded ~ $0.09) | ↓ 89.2% cheaper |
| #26 |
GPT-5.3 Codex Spark
OpenAI
|
$0.090125 | ↓ 88.6% cheaper |
| #27 |
GPT-5.3 Instant
OpenAI
|
$0.090125 | ↓ 88.6% cheaper |
| #28 |
Gemini 3.1 Pro
Google
|
$0.091000 (rounded ~ $0.09) | ↓ 88.5% cheaper |
| #29 |
GPT-5.4
OpenAI
|
$0.113750 (rounded ~ $0.11) | ↓ 85.6% cheaper |
| #30 |
GPT-5.4 Thinking
OpenAI
|
$0.113750 (rounded ~ $0.11) | ↓ 85.6% cheaper |
| #31 |
GPT-5.6 Terra
OpenAI
|
$0.113750 (rounded ~ $0.11) | ↓ 85.6% cheaper |
| #32 |
Claude Sonnet 4.6
Anthropic
|
$0.127500 (rounded ~ $0.13) | ↓ 83.9% cheaper |
| #33 |
Claude Opus 4.7
Anthropic
|
$0.212500 (rounded ~ $0.21) | ↓ 73.1% cheaper |
| #34 |
Claude Opus 5
Anthropic
|
$0.212500 (rounded ~ $0.21) | ↓ 73.1% cheaper |
| #35 |
Claude Opus 4.8
Anthropic
|
$0.212500 (rounded ~ $0.21) | ↓ 73.1% cheaper |
| #36 |
Claude Opus 4.6
Anthropic
|
$0.212500 (rounded ~ $0.21) | ↓ 73.1% cheaper |
| #37 |
GPT-5.5
OpenAI
|
$0.227500 (rounded ~ $0.23) | ↓ 71.2% cheaper |
| #38 |
GPT-5.5 Instant
OpenAI
|
$0.227500 (rounded ~ $0.23) | ↓ 71.2% cheaper |
| #39 |
GPT-5.6 Sol
OpenAI
|
$0.227500 (rounded ~ $0.23) | ↓ 71.2% cheaper |
| #40 |
o3 Deep Research
OpenAI
|
$0.395000 (rounded ~ $0.40) | ↓ 50% cheaper |
| #41 |
Claude Fable 5.1
Anthropic
|
$0.406250 (rounded ~ $0.41) | ↓ 48.6% cheaper |
| #42 |
Claude Mythos 5.1
Anthropic
|
$0.406250 (rounded ~ $0.41) | ↓ 48.6% cheaper |
| #43 |
Claude Fable 5
Anthropic
|
$0.425000 (rounded ~ $0.43) | ↓ 46.2% cheaper |
| #44 |
Claude Mythos 5
Anthropic
|
$0.425000 (rounded ~ $0.43) | ↓ 46.2% cheaper |
| #45 |
GPT-6 Astra
OpenAI
|
$0.425000 (rounded ~ $0.43) | ↓ 46.2% cheaper |
| #46 |
GPT-5.2 Pro
OpenAI
|
$1.081500 (rounded ~ $1.08) | ↑ 36.9% more |
| #47 |
GPT-5.2 Pro
OpenAI
|
$1.081500 (rounded ~ $1.08) | ↑ 36.9% more |
Mistral Small 3 Mistral AI
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.1 Flash Google
Kimi K2.5 Moonshot AI
Gemini 3.8 Flash Google
Grok Build 0.1 xAI
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Kimi K2.6 Moonshot AI
Kimi K2.7 Code Moonshot AI
Grok 4.3 xAI
Grok 4.20 Beta xAI
Claude Haiku 4.5 Anthropic
o4-mini OpenAI
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Gemini 2.5 Pro Google
Gemini 3.5 Flash Google
Grok 4.6 xAI
Grok 4.5 xAI
Claude Sonnet 5 Anthropic
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.5 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-6 Astra OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Deep Reasoning for High-Complexity Support
In industries like real estate and legal services, support queries often require more than simple FAQ retrieval. They demand deep reasoning—the ability to synthesize multiple variables, legal clauses, and market data into a coherent, actionable recommendation. o3 Pro is architected specifically for these high-effort reasoning tasks, providing the depth needed to resolve complex, multi-step customer concerns without manual escalation.
For teams managing enterprise-scale support, utilizing o3 Pro allows for a significant reduction in human-in-the-loop requirements. By delegating complex, ambiguous queries to a reasoning-native model, organizations can drastically improve their resolution rates for Tier 2 and Tier 3 support tickets. This is particularly valuable when your input context includes dozens of documents—contracts, property histories, or financial reports—that must be analyzed simultaneously.
Operational Considerations
- Resolution Accuracy: The primary value proposition is the reduction of hallucinations in high-stakes environments. When accuracy is non-negotiable, the reasoning overhead is a worthwhile investment.
- Pipeline Integration: This model fits best at the end of a routing stack. Use a lighter model for initial triage and route the complex, high-token-count cases to o3 Pro for final resolution.
- Scale Potential: While reasoning-heavy models are more compute-intensive, their ability to solve a case in one pass significantly lowers the total token count compared to iterative, multi-step prompting on lesser models.
For organizations planning for 100M+ tokens monthly, o3 Pro offers a robust solution for automating high-value, high-context support dialogues.