Gemini 2.5 Pro Vision: pricing, context window and benchmarks
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.
Pricing
Gemini 2.5 Pro Vision costs $14.91 per million input tokens and $71.00 per million output tokens. A blended 3:1 input-to-output mix works out to about $28.93 per million tokens. Cached input is listed at $2.07 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $14.91 | per 1M tokens |
| Output | $71.00 | per 1M tokens |
| Cached input | $2.07 | per 1M tokens |
| Blended 3:1 | $28.93 | estimate per 1M tokens |
| 1M in + 1M out | $85.91 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 83.9 | 84 | 86th | |
| GPQA Diamond | 78.0 | 86 | 86th | |
| SWE-bench Verified | 72.4 | 71 | 88th | |
| HumanEval | 85.8 | 102 | 83th | |
| MATH-500 | 82.9 | 147 | 76th | |
| AIME 2025 | 80.0 | 88 | 85th | |
| LiveCodeBench | 76.0 | 83 | 86th | |
| IFEval | 90.2 | 66 | 89th | |
| TruthfulQA | 84.1 | 82 | 86th | |
| HellaSwag | 90.8 | 66 | 89th | |
| MMMU | 78.2 | 91 | 85th | |
| Arena Elo | 1451.3 | 70 | 88th |
What Gemini 2.5 Pro Vision is good for
Gemini 2.5 Pro Vision is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $14.91 per million input tokens, it sits in the mid-range of the index, and the 200,000-token context window is enough for large files and multi-file diffs.
Strengths
- Large 200,000-token context window for long documents and agent traces.
- Accepts more than text, including image input where the provider supports it.
- Coding benchmarks are a relative strength within its tier.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- Premium input pricing at $14.91 per million tokens.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Kimi K2 Instruct | Moonshot AI | 1000000 | $5.80 | 82.3 |
| Kimi K2 Chat | Moonshot AI | 400000 | $5.74 | 82.1 |
| GPT-4.1 Vision | OpenAI | 1000000 | $14.88 | 82.0 |
| Gemini 2.5 Pro Vision | Google DeepMind | 200000 | $14.91 | 82.0 |
| Gemini 3 Flash Vision | Google DeepMind | 400000 | $15.06 | 81.9 |
| o3 Vision | OpenAI | 1000000 | $15.24 | 81.8 |
FAQ
How much does Gemini 2.5 Pro Vision cost?
Gemini 2.5 Pro Vision is listed at $14.91 per million input tokens and $71.00 per million output tokens. Cached input is $2.07 per million tokens. A blended 3:1 input-to-output mix is about $28.93 per million tokens.
What is the context window of Gemini 2.5 Pro Vision?
Gemini 2.5 Pro Vision has a context window of 200,000 tokens and can emit up to 4,096 output tokens per request in this index.
Is Gemini 2.5 Pro Vision open weights?
No. Gemini 2.5 Pro Vision is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Gemini 2.5 Pro Vision score on benchmarks?
Gemini 2.5 Pro Vision averages 82.0 across the scored benchmarks in this index, ranking #86 of 600 models. Its strongest relative result is Arena Elo at 1451.3.
What is Gemini 2.5 Pro Vision best for?
Gemini 2.5 Pro Vision is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $14.91 per million input tokens, it sits in the mid-range of the index, and the 200,000-token context window is enough for large files and multi-file diffs.