OpenAI o1-mini vs DeepSeek R1
Performance benchmarks + pricing comparison — updated April 2026
OpenAI o1-mini
OpenAICost-effective reasoning model. Good for coding tasks that require logical reasoning.
| Input | $1.10/M |
| Output | $4.40/M |
| Context | 128K tokens |
| Best For | Coding logic, debugging, algorithm design |
| Benchmark | 70/100 |
DeepSeek R1
DeepSeekDeepSeek's reasoning model. Open-weight model that rivals o1 for complex reasoning tasks.
| Input | $0.140/M |
| Output | $0.550/M |
| Context | 128K tokens |
| Best For | Math, coding, science reasoning at low cost |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | OpenAI o1-mini | DeepSeek R1 | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.17 | $0.02 | DeepSeek R1 saves $0.15 (87%) |
| Medium Feature (10K lines) | $1.27 | $0.16 | DeepSeek R1 saves $1.11 (87%) |
| Large Project (50K lines) | $6.33 | $0.80 | DeepSeek R1 saves $5.53 (87%) |
| Code Review (5K lines) | $0.30 | $0.04 | DeepSeek R1 saves $0.26 (87%) |
Verdict
DeepSeek R1 wins on both price and performance — $0.140/M input with a benchmark score of N/A/100.
For most developers, this is the clear choice between these two models.
Compare with Other Models
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Claude Opus 4
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Claude 3.5 Sonnet
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Claude 3.5 Haiku
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Claude 3 Opus
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Claude 3 Sonnet
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