Gemini 2.5 Pro: pricing, context window and benchmarks
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.
Pricing
Gemini 2.5 Pro costs $15.20 per million input tokens and $57.83 per million output tokens. A blended 3:1 input-to-output mix works out to about $25.86 per million tokens. Cached input is listed at $1.35 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $15.20 | per 1M tokens |
| Output | $57.83 | per 1M tokens |
| Cached input | $1.35 | per 1M tokens |
| Blended 3:1 | $25.86 | estimate per 1M tokens |
| 1M in + 1M out | $73.03 | 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 | 83.6 | 91 | 85th | |
| GPQA Diamond | 76.5 | 109 | 82th | |
| SWE-bench Verified | 70.2 | 104 | 83th | |
| HumanEval | 87.7 | 76 | 87th | |
| MATH-500 | 86.8 | 83 | 86th | |
| AIME 2025 | 76.1 | 139 | 77th | |
| LiveCodeBench | 76.2 | 81 | 87th | |
| IFEval | 87.6 | 111 | 82th | |
| TruthfulQA | 82.8 | 110 | 82th | |
| HellaSwag | 89.7 | 94 | 84th | |
| MMMU | 80.5 | 52 | 91th | |
| Arena Elo | 1455.0 | 63 | 90th |
What Gemini 2.5 Pro is good for
Gemini 2.5 Pro 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 $15.20 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.
- Reasoning-oriented profile, useful for multi-step problems and structured analysis.
- 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 $15.20 per million tokens.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 4 Maverick Instruct | Meta AI | 200000 | $5.33 | 81.7 |
| Mistral Large 3 | Mistral AI | 128000 | $5.41 | 81.7 |
| Claude 3.7 Sonnet | Anthropic | 200000 | $14.91 | 81.6 |
| Doubao 1.5 Pro Reasoning | ByteDance | 128000 | $14.56 | 81.6 |
| Gemini 2.5 Pro | Google DeepMind | 200000 | $15.20 | 81.6 |
| Llama 4 Maverick | Meta AI | 200000 | $5.36 | 81.6 |
FAQ
How much does Gemini 2.5 Pro cost?
Gemini 2.5 Pro is listed at $15.20 per million input tokens and $57.83 per million output tokens. Cached input is $1.35 per million tokens. A blended 3:1 input-to-output mix is about $25.86 per million tokens.
What is the context window of Gemini 2.5 Pro?
Gemini 2.5 Pro has a context window of 200,000 tokens and can emit up to 16,384 output tokens per request in this index.
Is Gemini 2.5 Pro open weights?
No. Gemini 2.5 Pro is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Gemini 2.5 Pro score on benchmarks?
Gemini 2.5 Pro averages 81.6 across the scored benchmarks in this index, ranking #93 of 600 models. Its strongest relative result is Arena Elo at 1455.0.
What is Gemini 2.5 Pro best for?
Gemini 2.5 Pro 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 $15.20 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.