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o3 vs DeepSeek R1
A detailed comparison of o3 (OpenAI) and DeepSeek R1 (DeepSeek) across pricing, performance, and features.
Pricing Comparison
| Metric | o3 | DeepSeek R1 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.40 | $0.55 | +38% |
| Output / 1M tokens | $1.60 | $2.19 | +37% |
| Context window | 200K | 128K | — |
| Max output | 100K | 64K | — |
Benchmark Comparison
| Benchmark | o3 | DeepSeek R1 |
|---|---|---|
| MMLU-Pro | 87% | 84% |
| HumanEval | 94.5% | 92% |
| GPQA | 79.2% | 71.5% |
Capabilities
| Capability | o3 | DeepSeek R1 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✓ |
| text | ✓ | ✓ |
| tool-use | ✓ | ✗ |
| vision | ✓ | ✗ |
o3 Strengths
- ✓Recently repriced — now very cheap
- ✓Excellent logical reasoning
- ✓200K context window
o3 Weaknesses
- ✗Slower due to reasoning overhead
- ✗Overkill for simple tasks
DeepSeek R1 Strengths
- ✓Cheapest reasoning model available
- ✓Strong math and science performance
- ✓Open-source with off-peak discounts
DeepSeek R1 Weaknesses
- ✗Slower than non-reasoning models
- ✗No vision or tool-use
- ✗China-based — availability concerns
Quick Verdict
Best value: o3 is the more affordable option at $0.4/$1.6 per 1M tokens.
Higher benchmarks: o3 scores higher on average across available benchmarks (86.9% avg).
Larger context: o3 supports 200K tokens.
Choose o3 if cost matters most. Choose DeepSeek R1 if you need the best possible quality for complex tasks.