OpenAI o3-mini vs Gemini 2.0 Flash
Performance benchmarks + pricing comparison — updated April 2026
OpenAI o3-mini
OpenAIAffordable reasoning model for coding tasks. Best price-performance for algorithm-heavy work.
| Input | $1.10/M |
| Output | $4.40/M |
| Context | 200K tokens |
| Best For | Algorithm design, coding challenges, debugging |
| Benchmark | 80/100 |
Gemini 2.0 Flash
GoogleCheapest Google model. Fast responses for simple coding tasks.
| Input | $0.100/M |
| Output | $0.400/M |
| Context | 1M tokens |
| Best For | Simple tasks, fast responses, cost optimization |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | OpenAI o3-mini | Gemini 2.0 Flash | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.17 | $0.02 | Gemini 2.0 Flash saves $0.16 (91%) |
| Medium Feature (10K lines) | $1.27 | $0.12 | Gemini 2.0 Flash saves $1.15 (91%) |
| Large Project (50K lines) | $6.33 | $0.58 | Gemini 2.0 Flash saves $5.75 (91%) |
| Code Review (5K lines) | $0.30 | $0.03 | Gemini 2.0 Flash saves $0.27 (91%) |
Verdict
Gemini 2.0 Flash wins on both price and performance — $0.100/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 Haiku
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