Gemini 3 Pro vs o4 Turbo: which model should you choose?
We compared Gemini 3 Pro and o4 Turbo on price, context window and 12 benchmarks. o4 Turbo has the stronger average benchmark score; Gemini 3 Pro is cheaper on a blended 3:1 basis.
Gemini 3 Pro
Gemini 3 Pro is a frontier model from Google DeepMind. It offers a 2,000,000-token context window, costs $18.24 per million input tokens and $82.93 per million output tokens, and averages 86.1 across the index's benchmark suite.
- Input
- $18.24 / 1M
- Output
- $82.93 / 1M
- Context
- 2,000,000
- Avg score
- 86.1
- Open weights
- No
o4 Turbo
o4 Turbo is a frontier model from OpenAI. It offers a 2,000,000-token context window, costs $19.34 per million input tokens and $82.19 per million output tokens, and averages 86.6 across the index's benchmark suite.
- Input
- $19.34 / 1M
- Output
- $82.19 / 1M
- Context
- 2,000,000
- Avg score
- 86.6
- Open weights
- No
Specification comparison
| Spec | Gemini 3 Pro | o4 Turbo | Edge |
|---|---|---|---|
| Input price / 1M | $18.24 | $19.34 | A |
| Output price / 1M | $82.93 | $82.19 | B |
| Context window | 2,000,000 | 2,000,000 | Tie |
| Max output | 8,192 | 8,192 | Tie |
| Average score | 86.1 | 86.6 | B |
| Arena Elo | 1460.7 | 1468.1 | B |
| Open weights | No | No | Tie |
Benchmark comparison
Gemini 3 Pro wins 5, o4 Turbo wins 5, and 2 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 3 Pro | o4 Turbo | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 88.2 | 88.1 | 0.1 | Gemini 3 Pro |
| GPQA Diamond | 79.0 | 84.8 | 5.8 | o4 Turbo |
| SWE-bench Verified | 78.5 | 78.4 | 0.1 | Gemini 3 Pro |
| HumanEval | 91.8 | 91.0 | 0.8 | Gemini 3 Pro |
| MATH-500 | 89.9 | 91.7 | 1.8 | o4 Turbo |
| AIME 2025 | 84.3 | 85.9 | 1.6 | o4 Turbo |
| LiveCodeBench | 83.3 | 80.1 | 3.2 | Gemini 3 Pro |
| IFEval | 93.7 | 92.6 | 1.1 | Gemini 3 Pro |
| TruthfulQA | 88.8 | 88.8 | 0.0 | Tie |
| HellaSwag | 91.3 | 91.3 | 0.0 | Tie |
| MMMU | 78.6 | 79.6 | 1.0 | o4 Turbo |
| Arena Elo | 1460.7 | 1468.1 | 7.4 | o4 Turbo |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 3 Pro costs about $34.41 per million tokens and o4 Turbo costs about $35.05. Gemini 3 Pro is roughly 2% cheaper than o4 Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Both models list a 2,000,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Gemini 3 Pro wins 5, o4 Turbo wins 5, and 2 are tied. On the index average, o4 Turbo leads Gemini 3 Pro by 0.5 points (86.6 versus 86.1).
The price picture favours Gemini 3 Pro. The context picture is effectively a tie. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.
If you need a single default, start with o4 Turbo for quality-sensitive work and Gemini 3 Pro for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Gemini 3 Pro if
- Unit cost matters and you want the cheaper blended price.
Choose o4 Turbo if
- You want the higher average benchmark score in this index.
FAQ
Is Gemini 3 Pro better than o4 Turbo?
On the index average, o4 Turbo leads Gemini 3 Pro by 0.5 points (86.6 versus 86.1). The better choice depends on price, context and your task. Gemini 3 Pro wins 5 benchmarks, o4 Turbo wins 5.
Which is cheaper, Gemini 3 Pro or o4 Turbo?
Gemini 3 Pro is cheaper on a blended 3:1 basis at about $34.41 per million tokens, versus $35.05 for o4 Turbo.
Which has the larger context window?
Both models list a 2,000,000-token context window.
Are these models open weights?
Gemini 3 Pro is proprietary; o4 Turbo is proprietary.
Which should I choose for production?
If you need a single default, start with o4 Turbo for quality-sensitive work and Gemini 3 Pro for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.