Gemini 3 Pro Nano: pricing, context window and benchmarks
Gemini 3 Pro Nano is a mid-range model from Google DeepMind. It offers a 8,192-token context window, costs $9.11 per million input tokens and $48.26 per million output tokens, and averages 73.2 across the index's benchmark suite.
Pricing
Gemini 3 Pro Nano costs $9.11 per million input tokens and $48.26 per million output tokens. A blended 3:1 input-to-output mix works out to about $18.90 per million tokens. Cached input is listed at $0.90 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $9.11 | per 1M tokens |
| Output | $48.26 | per 1M tokens |
| Cached input | $0.90 | per 1M tokens |
| Blended 3:1 | $18.90 | estimate per 1M tokens |
| 1M in + 1M out | $57.37 | 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 | 73.8 | 357 | 41th | |
| GPQA Diamond | 69.4 | 282 | 53th | |
| SWE-bench Verified | 61.2 | 296 | 51th | |
| HumanEval | 77.7 | 293 | 51th | |
| MATH-500 | 78.3 | 251 | 58th | |
| AIME 2025 | 64.6 | 344 | 43th | |
| LiveCodeBench | 66.6 | 260 | 57th | |
| IFEval | 82.6 | 258 | 57th | |
| TruthfulQA | 77.0 | 281 | 53th | |
| HellaSwag | 81.9 | 350 | 42th | |
| MMMU | 71.8 | 250 | 58th | |
| Arena Elo | 1367.4 | 326 | 46th |
What Gemini 3 Pro Nano is good for
Gemini 3 Pro Nano is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $9.11 per million input tokens with a 8,192-token window, check its benchmark profile against the specific task before committing.
Strengths
- Accepts more than text, including image input where the provider supports it.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- Premium input pricing at $9.11 per million tokens.
- Context window of 8,192 tokens is small for long-document work.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Claude Opus 4.5 Nano | Anthropic | 32768 | $9.38 | 73.3 |
| DBRX | Databricks | 65536 | $3.29 | 73.3 |
| Firefunction Max | Fireworks AI | 32768 | $9.12 | 73.2 |
| Gemini 3 Pro Nano | Google DeepMind | 8192 | $9.11 | 73.2 |
| Llama 3 Baseten Chat | Baseten | 200000 | $3.55 | 73.2 |
| Nova Lite Turbo | Amazon | 8192 | $9.14 | 73.2 |
FAQ
How much does Gemini 3 Pro Nano cost?
Gemini 3 Pro Nano is listed at $9.11 per million input tokens and $48.26 per million output tokens. Cached input is $0.90 per million tokens. A blended 3:1 input-to-output mix is about $18.90 per million tokens.
What is the context window of Gemini 3 Pro Nano?
Gemini 3 Pro Nano has a context window of 8,192 tokens and can emit up to 8,192 output tokens per request in this index.
Is Gemini 3 Pro Nano open weights?
No. Gemini 3 Pro Nano is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Gemini 3 Pro Nano score on benchmarks?
Gemini 3 Pro Nano averages 73.2 across the scored benchmarks in this index, ranking #296 of 600 models. Its strongest relative result is Arena Elo at 1367.4.
What is Gemini 3 Pro Nano best for?
Gemini 3 Pro Nano is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $9.11 per million input tokens with a 8,192-token window, check its benchmark profile against the specific task before committing.