GPT-4o mini vs Gemma 3 27B
Performance benchmarks + pricing comparison — updated April 2026
GPT-4o mini
OpenAIAffordable small model. Fast and cost-effective for high-volume coding tasks.
| Input | $0.150/M |
| Output | $0.600/M |
| Context | 128K tokens |
| Best For | High-volume tasks, simple coding, cost-sensitive projects |
| Benchmark | 58/100 |
Gemma 3 27B
GoogleGoogle's open-weight 27B model. Budget-friendly with strong coding capability and Google's research backing.
| Input | $0.100/M |
| Output | $0.400/M |
| Context | 128K tokens |
| Best For | Self-hosted deployments, budget coding, research |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | GPT-4o mini | Gemma 3 27B | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.02 | $0.02 | Gemma 3 27B saves <$0.01 (36%) |
| Medium Feature (10K lines) | $0.18 | $0.12 | Gemma 3 27B saves $0.07 (37%) |
| Large Project (50K lines) | $0.92 | $0.58 | Gemma 3 27B saves $0.34 (37%) |
| Code Review (5K lines) | $0.05 | $0.03 | Gemma 3 27B saves $0.02 (41%) |
Verdict
Gemma 3 27B 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.
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