Model, pricing, and version details reflect the publication date. Verify official sources before using them in a decision.
The Rise of Reasoning Models
2024-2025 saw the emergence of reasoning models. Unlike traditional LLMs, reasoning models think before responding, breaking down complex problems into steps.
Pricing Comparison
| Model | Input (per 1M) | Output (per 1M) | Relative Cost |
|---|---|---|---|
| OpenAI o3 | $15.00 | $60.00 | 1x (baseline) |
| OpenAI o3-mini | $1.10 | $4.40 | ~7x cheaper |
| DeepSeek R1 | $0.55 | $2.19 | ~27x cheaper |
Benchmark Performance
AIME 2024 (Math Competition)
- OpenAI o3: 96.7%
- DeepSeek R1: 79.8%
Codeforces Rating
- OpenAI o3: 2727 (above 99th percentile)
- DeepSeek R1: 2029 (96.3rd percentile)
GPQA Diamond (PhD-level Science)
- OpenAI o3: 87.7%
- DeepSeek R1: 71.5%
When to Use Each Model
Choose OpenAI o3 when:
- Maximum accuracy is critical
- Competitive programming or math olympiad problems
- Budget is not a constraint
Choose DeepSeek R1 when:
- Cost efficiency matters
- Processing high volumes of reasoning tasks
- Good-enough accuracy is acceptable
The Bottom Line
OpenAI o3 is better, but DeepSeek R1 offers ~90% of the capability at ~4% of the cost. For most real-world applications, R1 is the smarter choice.
Verdict
- OpenAI o3: Best-in-class, premium pricing. Rating: 9.5/10
- DeepSeek R1: Exceptional value. Rating: 9.0/10
#OpenAI#DeepSeek#o3#R1#Reasoning Models#AI Comparison