Gemini 2.5 Pro Pro vs o4 Vision: which model should you choose?
We compared Gemini 2.5 Pro Pro and o4 Vision on price, context window and 12 benchmarks. o4 Vision has the stronger average benchmark score; o4 Vision is cheaper on a blended 3:1 basis.
Gemini 2.5 Pro Pro
Gemini 2.5 Pro Pro is a frontier model from Google DeepMind. It offers a 400,000-token context window, costs $17.16 per million input tokens and $90.89 per million output tokens, and averages 83.6 across the index's benchmark suite.
- Input
- $17.16 / 1M
- Output
- $90.89 / 1M
- Context
- 400,000
- Avg score
- 83.6
- Open weights
- No
o4 Vision
o4 Vision is a frontier model from OpenAI. It offers a 200,000-token context window, costs $17.01 per million input tokens and $90.05 per million output tokens, and averages 84.5 across the index's benchmark suite.
- Input
- $17.01 / 1M
- Output
- $90.05 / 1M
- Context
- 200,000
- Avg score
- 84.5
- Open weights
- No
Specification comparison
| Spec | Gemini 2.5 Pro Pro | o4 Vision | Edge |
|---|---|---|---|
| Input price / 1M | $17.16 | $17.01 | B |
| Output price / 1M | $90.89 | $90.05 | B |
| Context window | 400,000 | 200,000 | A |
| Max output | 8,192 | 4,096 | A |
| Average score | 83.6 | 84.5 | B |
| Arena Elo | 1460.2 | 1473.2 | B |
| Open weights | No | No | Tie |
Benchmark comparison
Gemini 2.5 Pro Pro wins 5, o4 Vision wins 7, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 2.5 Pro Pro | o4 Vision | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 85.2 | 84.2 | 1.0 | Gemini 2.5 Pro Pro |
| GPQA Diamond | 81.6 | 80.9 | 0.7 | Gemini 2.5 Pro Pro |
| SWE-bench Verified | 72.1 | 75.6 | 3.5 | o4 Vision |
| HumanEval | 88.4 | 88.9 | 0.5 | o4 Vision |
| MATH-500 | 86.8 | 91.7 | 4.9 | o4 Vision |
| AIME 2025 | 83.3 | 80.4 | 2.9 | Gemini 2.5 Pro Pro |
| LiveCodeBench | 76.5 | 81.3 | 4.8 | o4 Vision |
| IFEval | 92.0 | 89.1 | 2.9 | Gemini 2.5 Pro Pro |
| TruthfulQA | 85.5 | 85.3 | 0.2 | Gemini 2.5 Pro Pro |
| HellaSwag | 90.6 | 91.2 | 0.6 | o4 Vision |
| MMMU | 78.1 | 80.7 | 2.6 | o4 Vision |
| Arena Elo | 1460.2 | 1473.2 | 13.0 | o4 Vision |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 2.5 Pro Pro costs about $35.59 per million tokens and o4 Vision costs about $35.27. o4 Vision is roughly 1% cheaper than Gemini 2.5 Pro Pro. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Gemini 2.5 Pro Pro has the larger context window at 400,000 tokens, compared with 200,000 for o4 Vision. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Gemini 2.5 Pro Pro wins 5, o4 Vision wins 7, and 0 are tied. On the index average, o4 Vision leads Gemini 2.5 Pro Pro by 0.9 points (84.5 versus 83.6).
The price picture favours o4 Vision. The context picture favours Gemini 2.5 Pro Pro. 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 Vision for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Gemini 2.5 Pro Pro if
- You need the larger 400,000-token context window.
- You need the larger 8,192-token output limit.
Choose o4 Vision if
- You want the higher average benchmark score in this index.
- Unit cost matters and you want the cheaper blended price.
FAQ
Is Gemini 2.5 Pro Pro better than o4 Vision?
On the index average, o4 Vision leads Gemini 2.5 Pro Pro by 0.9 points (84.5 versus 83.6). The better choice depends on price, context and your task. Gemini 2.5 Pro Pro wins 5 benchmarks, o4 Vision wins 7.
Which is cheaper, Gemini 2.5 Pro Pro or o4 Vision?
o4 Vision is cheaper on a blended 3:1 basis at about $35.27 per million tokens, versus $35.59 for Gemini 2.5 Pro Pro.
Which has the larger context window?
Gemini 2.5 Pro Pro has the larger context window at 400,000 tokens. o4 Vision has 200,000 tokens.
Are these models open weights?
Gemini 2.5 Pro Pro is proprietary; o4 Vision is proprietary.
Which should I choose for production?
If you need a single default, start with o4 Vision for quality-sensitive work, and check whether its price holds at your expected volume before committing.