Gemini 3 Pro Pro: pricing, context window and benchmarks
Gemini 3 Pro Pro is a frontier model from Google DeepMind. It offers a 200,000-token context window, costs $19.80 per million input tokens and $108.61 per million output tokens, and averages 87.3 across the index's benchmark suite.
Pricing
Gemini 3 Pro Pro costs $19.80 per million input tokens and $108.61 per million output tokens. A blended 3:1 input-to-output mix works out to about $42.00 per million tokens. Cached input is listed at $2.88 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $19.80 | per 1M tokens |
| Output | $108.61 | per 1M tokens |
| Cached input | $2.88 | per 1M tokens |
| Blended 3:1 | $42.00 | estimate per 1M tokens |
| 1M in + 1M out | $128.41 | 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 | 88.2 | 14 | 98th | |
| GPQA Diamond | 81.4 | 38 | 94th | |
| SWE-bench Verified | 75.7 | 32 | 95th | |
| HumanEval | 95.0 | 2 | 100th | |
| MATH-500 | 91.6 | 32 | 95th | |
| AIME 2025 | 88.0 | 15 | 98th | |
| LiveCodeBench | 83.1 | 14 | 98th | |
| IFEval | 92.7 | 25 | 96th | |
| TruthfulQA | 87.6 | 27 | 96th | |
| HellaSwag | 93.6 | 17 | 97th | |
| MMMU | 83.2 | 20 | 97th | |
| Arena Elo | 1484.4 | 17 | 97th |
What Gemini 3 Pro Pro is good for
Gemini 3 Pro Pro sits in the frontier tier of the index. It is aimed at work where answer quality matters more than unit cost: hard reasoning, multi-step coding, document analysis and multimodal inputs. At $19.80 per million input tokens and a 200,000-token context window, it is a premium option, so reserve it for tasks where a cheaper model measurably fails.
Strengths
- Top-tier average benchmark score (87.3), placing it #19 of 600.
- 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 $19.80 per million tokens.
- Cost can climb quickly on long outputs and high-volume traffic.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
| Gemini 3 Pro Pro | Google DeepMind | 200000 | $19.80 | 87.3 |
| o4 Pro | OpenAI | 1000000 | $19.37 | 87.3 |
| Claude Sonnet 4.5 Max | Anthropic | 1000000 | $19.90 | 87.2 |
FAQ
How much does Gemini 3 Pro Pro cost?
Gemini 3 Pro Pro is listed at $19.80 per million input tokens and $108.61 per million output tokens. Cached input is $2.88 per million tokens. A blended 3:1 input-to-output mix is about $42.00 per million tokens.
What is the context window of Gemini 3 Pro Pro?
Gemini 3 Pro Pro has a context window of 200,000 tokens and can emit up to 8,192 output tokens per request in this index.
Is Gemini 3 Pro Pro open weights?
No. Gemini 3 Pro Pro is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Gemini 3 Pro Pro score on benchmarks?
Gemini 3 Pro Pro averages 87.3 across the scored benchmarks in this index, ranking #19 of 600 models. Its strongest relative result is Arena Elo at 1484.4.
What is Gemini 3 Pro Pro best for?
Gemini 3 Pro Pro sits in the frontier tier of the index. It is aimed at work where answer quality matters more than unit cost: hard reasoning, multi-step coding, document analysis and multimodal inputs. At $19.80 per million input tokens and a 200,000-token context window, it is a premium option, so reserve it for tasks where a cheaper model measurably fails.