Gemini 3 Pro Turbo vs o4 Reasoning: which model should you choose?
We compared Gemini 3 Pro Turbo and o4 Reasoning on price, context window and 12 benchmarks. o4 Reasoning has the stronger average benchmark score; Gemini 3 Pro Turbo is cheaper on a blended 3:1 basis.
Gemini 3 Pro Turbo
Gemini 3 Pro Turbo is a frontier model from Google DeepMind. It offers a 400,000-token context window, costs $19.62 per million input tokens and $89.91 per million output tokens, and averages 86.4 across the index's benchmark suite.
- Input
- $19.62 / 1M
- Output
- $89.91 / 1M
- Context
- 400,000
- Avg score
- 86.4
- Open weights
- No
o4 Reasoning
o4 Reasoning is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $19.69 per million input tokens and $103.53 per million output tokens, and averages 87.5 across the index's benchmark suite.
- Input
- $19.69 / 1M
- Output
- $103.53 / 1M
- Context
- 1,000,000
- Avg score
- 87.5
- Open weights
- No
Specification comparison
| Spec | Gemini 3 Pro Turbo | o4 Reasoning | Edge |
|---|---|---|---|
| Input price / 1M | $19.62 | $19.69 | A |
| Output price / 1M | $89.91 | $103.53 | A |
| Context window | 400,000 | 1,000,000 | B |
| Max output | 16,384 | 128,000 | B |
| Average score | 86.4 | 87.5 | B |
| Arena Elo | 1494.9 | 1472.2 | A |
| Open weights | No | No | Tie |
Benchmark comparison
Gemini 3 Pro Turbo wins 5, o4 Reasoning wins 7, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 3 Pro Turbo | o4 Reasoning | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 85.6 | 86.1 | 0.5 | o4 Reasoning |
| GPQA Diamond | 81.0 | 84.0 | 3.0 | o4 Reasoning |
| SWE-bench Verified | 77.4 | 76.4 | 1.0 | Gemini 3 Pro Turbo |
| HumanEval | 90.3 | 90.2 | 0.1 | Gemini 3 Pro Turbo |
| MATH-500 | 92.4 | 94.8 | 2.4 | o4 Reasoning |
| AIME 2025 | 82.8 | 90.3 | 7.5 | o4 Reasoning |
| LiveCodeBench | 82.7 | 83.4 | 0.7 | o4 Reasoning |
| IFEval | 93.4 | 94.5 | 1.1 | o4 Reasoning |
| TruthfulQA | 87.8 | 89.0 | 1.2 | o4 Reasoning |
| HellaSwag | 94.6 | 92.4 | 2.2 | Gemini 3 Pro Turbo |
| MMMU | 82.7 | 81.8 | 0.9 | Gemini 3 Pro Turbo |
| Arena Elo | 1494.9 | 1472.2 | 22.7 | Gemini 3 Pro Turbo |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 3 Pro Turbo costs about $37.19 per million tokens and o4 Reasoning costs about $40.65. Gemini 3 Pro Turbo is roughly 9% cheaper than o4 Reasoning. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
o4 Reasoning has the larger context window at 1,000,000 tokens, compared with 400,000 for Gemini 3 Pro Turbo. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Gemini 3 Pro Turbo wins 5, o4 Reasoning wins 7, and 0 are tied. On the index average, o4 Reasoning leads Gemini 3 Pro Turbo by 1.1 points (87.5 versus 86.4).
The price picture favours Gemini 3 Pro Turbo. The context picture favours o4 Reasoning. 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 Reasoning for quality-sensitive work and Gemini 3 Pro Turbo for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Gemini 3 Pro Turbo if
- Unit cost matters and you want the cheaper blended price.
Choose o4 Reasoning if
- You want the higher average benchmark score in this index.
- You need the larger 1,000,000-token context window.
- You need the larger 128,000-token output limit.
FAQ
Is Gemini 3 Pro Turbo better than o4 Reasoning?
On the index average, o4 Reasoning leads Gemini 3 Pro Turbo by 1.1 points (87.5 versus 86.4). The better choice depends on price, context and your task. Gemini 3 Pro Turbo wins 5 benchmarks, o4 Reasoning wins 7.
Which is cheaper, Gemini 3 Pro Turbo or o4 Reasoning?
Gemini 3 Pro Turbo is cheaper on a blended 3:1 basis at about $37.19 per million tokens, versus $40.65 for o4 Reasoning.
Which has the larger context window?
o4 Reasoning has the larger context window at 1,000,000 tokens. Gemini 3 Pro Turbo has 400,000 tokens.
Are these models open weights?
Gemini 3 Pro Turbo is proprietary; o4 Reasoning is proprietary.
Which should I choose for production?
If you need a single default, start with o4 Reasoning for quality-sensitive work and Gemini 3 Pro Turbo for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.