GPT-4 Turbo vs Gemini 1.5 Pro
Performance benchmarks + pricing comparison — updated April 2026
GPT-4 Turbo
OpenAIPrevious generation high-performance model. Good for complex reasoning tasks.
| Input | $10.00/M |
| Output | $30.00/M |
| Context | 128K tokens |
| Best For | Complex reasoning, data extraction, analysis |
| 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 | GPT-4 Turbo | Gemini 1.5 Pro | Savings |
|---|---|---|---|
| Small Script (1K lines) | $1.25 | $0.19 | Gemini 1.5 Pro saves $1.06 (85%) |
| Medium Feature (10K lines) | $9.50 | $1.44 | Gemini 1.5 Pro saves $8.06 (85%) |
| Large Project (50K lines) | $47.50 | $7.19 | Gemini 1.5 Pro saves $40.31 (85%) |
| Code Review (5K lines) | $2.50 | $0.34 | Gemini 1.5 Pro saves $2.16 (86%) |
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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