OpenAI o1-mini vs Gemini 1.5 Pro
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 |
Gemini 1.5 Pro
GooglePrevious generation Google pro model. Good for general tasks.
| Input | $1.25/M |
| Output | $5.00/M |
| Context | 1M tokens |
| Best For | General-purpose tasks, document analysis |
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 | Gemini 1.5 Pro | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.17 | $0.19 | OpenAI o1-mini saves $0.02 (12%) |
| Medium Feature (10K lines) | $1.27 | $1.44 | OpenAI o1-mini saves $0.17 (12%) |
| Large Project (50K lines) | $6.33 | $7.19 | OpenAI o1-mini saves $0.86 (12%) |
| Code Review (5K lines) | $0.30 | $0.34 | OpenAI o1-mini saves $0.04 (12%) |
Verdict
OpenAI o1-mini wins on both price and performance — $1.10/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 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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