o3 Pro OpenAI
💰 Total Cost Calculation (from Plugin)
Output: $0.020000
Output: $0.020000
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 1,000 output tokens:
- Input Cost: $0.500000
- Output Cost: $0.020000
- Total Cost: $0.295000 (rounded ~ $0.30)
- Cost per 1K tokens: $0.002921
- Tokens per dollar: 342,373 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: 5 minutes, 8.95 seconds
- Latency: 300 milliseconds to first token
- Base Throughput: 350 tokens/second
- Effective Throughput: 327 tokens/second (temperature-adjusted)
Best Use Cases
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This calculator shows the math for o3 Pro. 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: $0.003750
Output: $0.003750
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 100,000 input tokens and 1,000 output tokens:
- Input Cost: $0.075000 (rounded ~ $0.08)
- Output Cost: $0.003750
- Total Cost: $0.045000 (rounded ~ $0.05)
- Cost per 1K tokens: $0.000446
- Tokens per dollar: 2,244,444 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: 4 minutes, 0.34 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.
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 o3 Pro| Rank | AI Model & Provider | Total Cost | vs o3 Pro | vs Claude Sonnet 4.6 |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.001450 Best Value | ↓ 99.5% cheaper | ↓ 96.8% cheaper |
| 🥈 |
Grok Code Fast 1
xAI
|
$0.003125 | ↓ 98.9% cheaper | ↓ 93.1% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.003813 | ↓ 98.7% cheaper | ↓ 91.5% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$0.004750 | ↓ 98.4% cheaper | ↓ 89.4% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.007250 (rounded ~ $0.01) | ↓ 97.5% cheaper | ↓ 83.9% cheaper |
| #6 |
GPT-5.4 mini
OpenAI
|
$0.011438 (rounded ~ $0.01) | ↓ 96.1% cheaper | ↓ 74.6% cheaper |
| #7 |
o4-mini Deep Research
OpenAI
|
$0.014750 (rounded ~ $0.01) | ↓ 95% cheaper | ↓ 67.2% cheaper |
| #8 |
Claude Haiku 4.5
Anthropic
|
$0.015000 (rounded ~ $0.02) | ↓ 94.9% cheaper | ↓ 66.7% cheaper |
| #9 |
Gemini 3.1 Flash
Google
|
$0.015250 (rounded ~ $0.02) | ↓ 94.8% cheaper | ↓ 66.1% cheaper |
| #10 |
o4-mini
OpenAI
|
$0.016225 (rounded ~ $0.02) | ↓ 94.5% cheaper | ↓ 63.9% cheaper |
| #11 |
Grok 4.3
xAI
|
$0.017813 (rounded ~ $0.02) | ↓ 94% cheaper | ↓ 60.4% cheaper |
| #12 |
Gemini 3.5 Flash
Google
|
$0.022875 (rounded ~ $0.02) | ↓ 92.2% cheaper | ↓ 49.2% cheaper |
| #13 |
GPT-5.3 Codex Spark
OpenAI
|
$0.027563 (rounded ~ $0.03) | ↓ 90.7% cheaper | ↓ 38.8% cheaper |
| #14 |
GPT-5.3 Instant
OpenAI
|
$0.027563 (rounded ~ $0.03) | ↓ 90.7% cheaper | ↓ 38.8% cheaper |
| #15 |
Grok 4.20 Beta
xAI
|
$0.029000 | ↓ 90.2% cheaper | ↓ 35.6% cheaper |
| #16 |
Gemini 2.5 Pro
Google
|
$0.039375 | ↓ 86.7% cheaper | ↓ 12.5% cheaper |
| #17 |
Claude Sonnet 4.6
Anthropic
|
$0.045000 (rounded ~ $0.05) | ↓ 84.7% cheaper | Same price |
| #18 |
Gemini 3.1 Pro
Google
|
$0.061000 (rounded ~ $0.06) | ↓ 79.3% cheaper | ↑ 35.6% more |
| #19 |
Claude Opus 4.7
Anthropic
|
$0.075000 (rounded ~ $0.08) | ↓ 74.6% cheaper | ↑ 66.7% more |
| #20 |
Claude Opus 4.8
Anthropic
|
$0.075000 (rounded ~ $0.08) | ↓ 74.6% cheaper | ↑ 66.7% more |
| #21 |
Claude Opus 4.6
Anthropic
|
$0.075000 (rounded ~ $0.08) | ↓ 74.6% cheaper | ↑ 66.7% more |
| #22 |
GPT-5.4
OpenAI
|
$0.076250 (rounded ~ $0.08) | ↓ 74.2% cheaper | ↑ 69.4% more |
| #23 |
GPT-5.4 Thinking
OpenAI
|
$0.076250 (rounded ~ $0.08) | ↓ 74.2% cheaper | ↑ 69.4% more |
| #24 |
GPT-5.5 Instant
OpenAI
|
$0.076250 (rounded ~ $0.08) | ↓ 74.2% cheaper | ↑ 69.4% more |
| #25 |
o3 Deep Research
OpenAI
|
$0.147500 (rounded ~ $0.15) | ↓ 50% cheaper | ↑ 227.8% more |
| #26 |
GPT-5.5
OpenAI
|
$0.152500 (rounded ~ $0.15) | ↓ 48.3% cheaper | ↑ 238.9% more |
| #27 |
GPT-5.2 Pro
OpenAI
|
$0.330750 | ↑ 12.1% more | ↑ 635% more |
| #28 |
GPT-5.2 Pro
OpenAI
|
$0.330750 | ↑ 12.1% more | ↑ 635% more |
Mistral Small 3 Mistral AI
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
o4-mini OpenAI
Grok 4.3 xAI
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Grok 4.20 Beta xAI
Gemini 2.5 Pro Google
Claude Sonnet 4.6 Anthropic
Gemini 3.1 Pro Google
Claude Opus 4.7 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
o3 Deep Research OpenAI
GPT-5.5 OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
Code Review Scaling: Reasoning vs. Throughput
For freelance developers and small teams managing pull requests, the choice between model architectures determines both the quality of feedback and the speed of your CI/CD pipeline. Analyzing 100K-token diffs requires a balance between deep reasoning—necessary for catching subtle architectural flaws—and rapid execution to avoid blocking development.
OpenAI o3 Pro distinguishes itself through advanced reasoning capabilities. When your code review assistant handles complex refactoring or security-sensitive changes, its ability to explore multiple solution paths before finalizing a suggestion is invaluable. It excels at identifying non-obvious logic errors that simpler models often overlook, making it the preferred choice for critical path code where accuracy is the paramount metric.
Claude Sonnet 4.6, conversely, represents the industry standard for developer-centric workflows. It prioritizes latency and high-throughput performance, which are essential when you need immediate feedback on routine PRs. Its context-window handling is exceptionally fluid, and it integrates seamlessly into existing agentic frameworks. Many developers find that Sonnet provides the most consistent, natural-sounding feedback, effectively acting as an extension of the development team rather than just a static analyzer.
Choosing between them comes down to your primary bottleneck: do you need the deepest possible verification for complex architectural changes, or do you need to keep a high-volume development team moving with fast, reliable feedback? For most day-to-day PRs, the balance offered by Sonnet is often the optimal starting point, while saving o3 Pro for the most complex, high-stakes components of your repository.