Gemini 2.5 Pro Nano: pricing, context window and benchmarks
Gemini 2.5 Pro Nano is a mid-range model from Google DeepMind. It offers a 32,768-token context window, costs $7.28 per million input tokens and $28.44 per million output tokens, and averages 69.2 across the index's benchmark suite.
Pricing
Gemini 2.5 Pro Nano costs $7.28 per million input tokens and $28.44 per million output tokens. A blended 3:1 input-to-output mix works out to about $12.57 per million tokens. Cached input is listed at $0.61 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $7.28 | per 1M tokens |
| Output | $28.44 | per 1M tokens |
| Cached input | $0.61 | per 1M tokens |
| Blended 3:1 | $12.57 | estimate per 1M tokens |
| 1M in + 1M out | $35.72 | 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 | 71.4 | 385 | 36th | |
| GPQA Diamond | 65.4 | 353 | 41th | |
| SWE-bench Verified | 54.3 | 390 | 35th | |
| HumanEval | 71.1 | 387 | 36th | |
| MATH-500 | 74.9 | 327 | 46th | |
| AIME 2025 | 63.7 | 360 | 40th | |
| LiveCodeBench | 59.2 | 376 | 37th | |
| IFEval | 79.9 | 334 | 44th | |
| TruthfulQA | 74.4 | 343 | 43th | |
| HellaSwag | 80.7 | 375 | 38th | |
| MMMU | 65.9 | 374 | 38th | |
| Arena Elo | 1349.7 | 364 | 39th |
What Gemini 2.5 Pro Nano is good for
Gemini 2.5 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 $7.28 per million input tokens with a 32,768-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.
- Average benchmark score is below the index median; test it on your own task.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Gemini 3 Flash Nano | Google DeepMind | 32768 | $7.56 | 69.4 |
| Firesearch Turbo | Fireworks AI | 16384 | $7.58 | 69.3 |
| Gemini 2.5 Pro Nano | Google DeepMind | 32768 | $7.28 | 69.2 |
| DBRX Base | Databricks | 32768 | $2.63 | 69.1 |
| Firesearch Reasoning | Fireworks AI | 32768 | $7.74 | 69.0 |
| Phi-3.5 Chat | Microsoft | 16384 | $2.64 | 69.0 |
FAQ
How much does Gemini 2.5 Pro Nano cost?
Gemini 2.5 Pro Nano is listed at $7.28 per million input tokens and $28.44 per million output tokens. Cached input is $0.61 per million tokens. A blended 3:1 input-to-output mix is about $12.57 per million tokens.
What is the context window of Gemini 2.5 Pro Nano?
Gemini 2.5 Pro Nano has a context window of 32,768 tokens and can emit up to 32,768 output tokens per request in this index.
Is Gemini 2.5 Pro Nano open weights?
No. Gemini 2.5 Pro Nano is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Gemini 2.5 Pro Nano score on benchmarks?
Gemini 2.5 Pro Nano averages 69.2 across the scored benchmarks in this index, ranking #370 of 600 models. Its strongest relative result is Arena Elo at 1349.7.
What is Gemini 2.5 Pro Nano best for?
Gemini 2.5 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 $7.28 per million input tokens with a 32,768-token window, check its benchmark profile against the specific task before committing.