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o4-mini vs DeepSeek V3
A detailed comparison of o4-mini (OpenAI) and DeepSeek V3 (DeepSeek) across pricing, performance, and features.
Pricing Comparison
| Metric | o4-mini | DeepSeek V3 | Difference |
|---|---|---|---|
| Input / 1M tokens | $1.10 | $0.14 | -87% |
| Output / 1M tokens | $4.40 | $0.28 | -94% |
| Context window | 200K | 164K | — |
| Max output | 100K | 16.384K | — |
Benchmark Comparison
| Benchmark | o4-mini | DeepSeek V3 |
|---|---|---|
| MMLU-Pro | 85% | 78% |
| HumanEval | 93.5% | 89% |
| GPQA | 76% | — |
Capabilities
| Capability | o4-mini | DeepSeek V3 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✓ |
| text | ✓ | ✓ |
| tool-use | ✓ | ✗ |
| vision | ✓ | ✗ |
o4-mini Strengths
- ✓Affordable reasoning model
- ✓200K context window
- ✓Good for math and science
o4-mini Weaknesses
- ✗Slower than non-reasoning models
- ✗Reasoning tokens add to effective cost
DeepSeek V3 Strengths
- ✓Cheapest capable model available
- ✓Strong coding performance
- ✓Open-source
DeepSeek V3 Weaknesses
- ✗No vision support
- ✗Smaller context than competitors
- ✗China-based — availability concerns
Quick Verdict
Best value: DeepSeek V3 is the more affordable option at $0.14/$0.28 per 1M tokens.
Higher benchmarks: o4-mini scores higher on average across available benchmarks (84.8% avg).
Larger context: o4-mini supports 200K tokens.
Choose DeepSeek V3 if cost matters most. Choose o4-mini if you need the best possible quality for complex tasks.