Groq Gemma 2 9B vs O3 Mini
Performance benchmarks + pricing comparison — updated April 2026
Groq Gemma 2 9B
GroqGoogle's Gemma 2 9B on Groq's LPU. Extremely fast small model for simple tasks.
| Input | $0.200/M |
| Output | $0.200/M |
| Context | 8K tokens |
| Best For | Simple text tasks, fast chat, cost-sensitive applications |
O3 Mini
OpenAIOpenAI's reasoning model at lower cost. Strong at math, coding, and science tasks.
| Input | $1.10/M |
| Output | $4.40/M |
| Context | 200K tokens |
| Best For | Math, science, coding tasks requiring deep reasoning |
| Benchmark | 80/100 |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | Groq Gemma 2 9B | O3 Mini | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.01 | $0.17 | Groq Gemma 2 9B saves $0.16 (92%) |
| Medium Feature (10K lines) | $0.11 | $1.27 | Groq Gemma 2 9B saves $1.16 (91%) |
| Large Project (50K lines) | $0.55 | $6.33 | Groq Gemma 2 9B saves $5.78 (91%) |
| Code Review (5K lines) | $0.04 | $0.30 | Groq Gemma 2 9B saves $0.26 (87%) |
Verdict
Groq Gemma 2 9B wins on both price and performance — $0.200/M input with a benchmark score of N/A/100.
For most developers, this is the clear choice between these two models.
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