Gemini 2.5 Pro Vision vs o3 Vision: which model should you choose?
We compared Gemini 2.5 Pro Vision and o3 Vision on price, context window and 12 benchmarks. Gemini 2.5 Pro Vision has the stronger average benchmark score; o3 Vision is cheaper on a blended 3:1 basis.
Gemini 2.5 Pro Vision
Gemini 2.5 Pro Vision is a multimodal model from Google DeepMind. It offers a 200,000-token context window, costs $14.91 per million input tokens and $71.00 per million output tokens, and averages 82.0 across the index's benchmark suite.
- Input
- $14.91 / 1M
- Output
- $71.00 / 1M
- Context
- 200,000
- Avg score
- 82.0
- Open weights
- No
o3 Vision
o3 Vision is a multimodal model from OpenAI. It offers a 1,000,000-token context window, costs $15.24 per million input tokens and $65.25 per million output tokens, and averages 81.8 across the index's benchmark suite.
- Input
- $15.24 / 1M
- Output
- $65.25 / 1M
- Context
- 1,000,000
- Avg score
- 81.8
- Open weights
- No
Specification comparison
| Spec | Gemini 2.5 Pro Vision | o3 Vision | Edge |
|---|---|---|---|
| Input price / 1M | $14.91 | $15.24 | A |
| Output price / 1M | $71.00 | $65.25 | B |
| Context window | 200,000 | 1,000,000 | B |
| Max output | 4,096 | 8,192 | B |
| Average score | 82.0 | 81.8 | A |
| Arena Elo | 1451.3 | 1436.5 | A |
| Open weights | No | No | Tie |
Benchmark comparison
Gemini 2.5 Pro Vision wins 9, o3 Vision wins 3, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 2.5 Pro Vision | o3 Vision | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 83.9 | 83.6 | 0.3 | Gemini 2.5 Pro Vision |
| GPQA Diamond | 78.0 | 77.8 | 0.2 | Gemini 2.5 Pro Vision |
| SWE-bench Verified | 72.4 | 71.8 | 0.6 | Gemini 2.5 Pro Vision |
| HumanEval | 85.8 | 85.6 | 0.2 | Gemini 2.5 Pro Vision |
| MATH-500 | 82.9 | 84.4 | 1.5 | o3 Vision |
| AIME 2025 | 80.0 | 82.4 | 2.4 | o3 Vision |
| LiveCodeBench | 76.0 | 73.7 | 2.3 | Gemini 2.5 Pro Vision |
| IFEval | 90.2 | 89.3 | 0.9 | Gemini 2.5 Pro Vision |
| TruthfulQA | 84.1 | 85.8 | 1.7 | o3 Vision |
| HellaSwag | 90.8 | 89.7 | 1.1 | Gemini 2.5 Pro Vision |
| MMMU | 78.2 | 75.7 | 2.5 | Gemini 2.5 Pro Vision |
| Arena Elo | 1451.3 | 1436.5 | 14.8 | Gemini 2.5 Pro Vision |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 2.5 Pro Vision costs about $28.93 per million tokens and o3 Vision costs about $27.74. o3 Vision is roughly 4% cheaper than Gemini 2.5 Pro Vision. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
o3 Vision has the larger context window at 1,000,000 tokens, compared with 200,000 for Gemini 2.5 Pro Vision. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Gemini 2.5 Pro Vision wins 9, o3 Vision wins 3, and 0 are tied. On the index average, Gemini 2.5 Pro Vision leads o3 Vision by 0.2 points (82.0 versus 81.8).
The price picture favours o3 Vision. The context picture favours o3 Vision. 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 Gemini 2.5 Pro Vision for quality-sensitive work and o3 Vision for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Gemini 2.5 Pro Vision if
- You want the higher average benchmark score in this index.
Choose o3 Vision if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 1,000,000-token context window.
- You need the larger 8,192-token output limit.
- The workload needs multi-step reasoning.
FAQ
Is Gemini 2.5 Pro Vision better than o3 Vision?
On the index average, Gemini 2.5 Pro Vision leads o3 Vision by 0.2 points (82.0 versus 81.8). The better choice depends on price, context and your task. Gemini 2.5 Pro Vision wins 9 benchmarks, o3 Vision wins 3.
Which is cheaper, Gemini 2.5 Pro Vision or o3 Vision?
o3 Vision is cheaper on a blended 3:1 basis at about $27.74 per million tokens, versus $28.93 for Gemini 2.5 Pro Vision.
Which has the larger context window?
o3 Vision has the larger context window at 1,000,000 tokens. Gemini 2.5 Pro Vision has 200,000 tokens.
Are these models open weights?
Gemini 2.5 Pro Vision is proprietary; o3 Vision is proprietary.
Which should I choose for production?
If you need a single default, start with Gemini 2.5 Pro Vision for quality-sensitive work and o3 Vision for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.