GPT-4 vs Gemini 1.5 Pro
Performance benchmarks + pricing comparison — updated April 2026
GPT-4
OpenAIOriginal GPT-4. Most expensive OpenAI model, largely superseded by newer options.
| Input | $30.00/M |
| Output | $60.00/M |
| Context | 8K tokens |
| Best For | Legacy applications requiring GPT-4 specifically |
| Benchmark | 68/100 |
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 | GPT-4 | Gemini 1.5 Pro | Savings |
|---|---|---|---|
| Small Script (1K lines) | $2.85 | $0.19 | Gemini 1.5 Pro saves $2.66 (93%) |
| Medium Feature (10K lines) | $22.50 | $1.44 | Gemini 1.5 Pro saves $21.06 (94%) |
| Large Project (50K lines) | $112.50 | $7.19 | Gemini 1.5 Pro saves $105.31 (94%) |
| Code Review (5K lines) | $6.75 | $0.34 | Gemini 1.5 Pro saves $6.41 (95%) |
Verdict
Gemini 1.5 Pro wins on both price and performance — $1.25/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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