Gemini 2.5 Pro vs Gemini 2.5 Pro Vision: which model should you choose?
We compared Gemini 2.5 Pro and Gemini 2.5 Pro Vision on price, context window and 12 benchmarks. Gemini 2.5 Pro Vision has the stronger average benchmark score; Gemini 2.5 Pro is cheaper on a blended 3:1 basis.
Gemini 2.5 Pro
Gemini 2.5 Pro is a multimodal model from Google DeepMind. It offers a 200,000-token context window, costs $15.20 per million input tokens and $57.83 per million output tokens, and averages 81.6 across the index's benchmark suite.
- Input
- $15.20 / 1M
- Output
- $57.83 / 1M
- Context
- 200,000
- Avg score
- 81.6
- Open weights
- No
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
Specification comparison
| Spec | Gemini 2.5 Pro | Gemini 2.5 Pro Vision | Edge |
|---|---|---|---|
| Input price / 1M | $15.20 | $14.91 | B |
| Output price / 1M | $57.83 | $71.00 | A |
| Context window | 200,000 | 200,000 | Tie |
| Max output | 16,384 | 4,096 | A |
| Average score | 81.6 | 82.0 | B |
| Arena Elo | 1455.0 | 1451.3 | A |
| Open weights | No | No | Tie |
Benchmark comparison
Gemini 2.5 Pro wins 5, Gemini 2.5 Pro 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 | Gemini 2.5 Pro Vision | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 83.6 | 83.9 | 0.3 | Gemini 2.5 Pro Vision |
| GPQA Diamond | 76.5 | 78.0 | 1.5 | Gemini 2.5 Pro Vision |
| SWE-bench Verified | 70.2 | 72.4 | 2.2 | Gemini 2.5 Pro Vision |
| HumanEval | 87.7 | 85.8 | 1.9 | Gemini 2.5 Pro |
| MATH-500 | 86.8 | 82.9 | 3.9 | Gemini 2.5 Pro |
| AIME 2025 | 76.1 | 80.0 | 3.9 | Gemini 2.5 Pro Vision |
| LiveCodeBench | 76.2 | 76.0 | 0.2 | Gemini 2.5 Pro |
| IFEval | 87.6 | 90.2 | 2.6 | Gemini 2.5 Pro Vision |
| TruthfulQA | 82.8 | 84.1 | 1.3 | Gemini 2.5 Pro Vision |
| HellaSwag | 89.7 | 90.8 | 1.1 | Gemini 2.5 Pro Vision |
| MMMU | 80.5 | 78.2 | 2.3 | Gemini 2.5 Pro |
| Arena Elo | 1455.0 | 1451.3 | 3.7 | Gemini 2.5 Pro |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 2.5 Pro costs about $25.86 per million tokens and Gemini 2.5 Pro Vision costs about $28.93. Gemini 2.5 Pro is roughly 11% 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.
Both models list a 200,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Gemini 2.5 Pro wins 5, Gemini 2.5 Pro Vision wins 7, and 0 are tied. On the index average, Gemini 2.5 Pro Vision leads Gemini 2.5 Pro by 0.4 points (82.0 versus 81.6).
The price picture favours Gemini 2.5 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 Gemini 2.5 Pro Vision for quality-sensitive work and Gemini 2.5 Pro 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 if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 16,384-token output limit.
- The workload needs multi-step reasoning.
Choose Gemini 2.5 Pro Vision if
- You want the higher average benchmark score in this index.
FAQ
Is Gemini 2.5 Pro better than Gemini 2.5 Pro Vision?
On the index average, Gemini 2.5 Pro Vision leads Gemini 2.5 Pro by 0.4 points (82.0 versus 81.6). The better choice depends on price, context and your task. Gemini 2.5 Pro wins 5 benchmarks, Gemini 2.5 Pro Vision wins 7.
Which is cheaper, Gemini 2.5 Pro or Gemini 2.5 Pro Vision?
Gemini 2.5 Pro is cheaper on a blended 3:1 basis at about $25.86 per million tokens, versus $28.93 for Gemini 2.5 Pro Vision.
Which has the larger context window?
Both models list a 200,000-token context window.
Are these models open weights?
Gemini 2.5 Pro is proprietary; Gemini 2.5 Pro 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 Gemini 2.5 Pro for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.