OpenAI o1 vs DeepSeek V3.2
Performance benchmarks + pricing comparison — updated April 2026
OpenAI o1
OpenAIReasoning model optimized for complex problem-solving. Excels at math, science, and advanced coding.
| Input | $15.00/M |
| Output | $60.00/M |
| Context | 200K tokens |
| Best For | Complex math, advanced coding, scientific reasoning |
| Benchmark | 83/100 |
DeepSeek V3.2
DeepSeekUpdated V3 model with improved general reasoning and multilingual capability. Strong value proposition.
| Input | $0.300/M |
| Output | $1.20/M |
| Context | 128K tokens |
| Best For | General tasks, bilingual coding, cost-effective workflows |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | OpenAI o1 | DeepSeek V3.2 | Savings |
|---|---|---|---|
| Small Script (1K lines) | $2.32 | $0.05 | DeepSeek V3.2 saves $2.28 (98%) |
| Medium Feature (10K lines) | $17.25 | $0.34 | DeepSeek V3.2 saves $16.91 (98%) |
| Large Project (50K lines) | $86.25 | $1.73 | DeepSeek V3.2 saves $84.53 (98%) |
| Code Review (5K lines) | $4.13 | $0.08 | DeepSeek V3.2 saves $4.04 (98%) |
Verdict
DeepSeek V3.2 wins on both price and performance — $0.300/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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