Gemini 3 Flash Nano: pricing, context window and benchmarks
Gemini 3 Flash Nano is a mid-range model from Google DeepMind. It offers a 32,768-token context window, costs $7.56 per million input tokens and $41.55 per million output tokens, and averages 69.4 across the index's benchmark suite.
Pricing
Gemini 3 Flash Nano costs $7.56 per million input tokens and $41.55 per million output tokens. A blended 3:1 input-to-output mix works out to about $16.06 per million tokens. Cached input is listed at $0.77 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $7.56 | per 1M tokens |
| Output | $41.55 | per 1M tokens |
| Cached input | $0.77 | per 1M tokens |
| Blended 3:1 | $16.06 | estimate per 1M tokens |
| 1M in + 1M out | $49.11 | 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 | 386 | 36th | |
| GPQA Diamond | 62.9 | 384 | 36th | |
| SWE-bench Verified | 55.7 | 379 | 37th | |
| HumanEval | 73.0 | 372 | 38th | |
| MATH-500 | 75.0 | 323 | 46th | |
| AIME 2025 | 62.9 | 365 | 39th | |
| LiveCodeBench | 60.3 | 364 | 39th | |
| IFEval | 77.5 | 371 | 38th | |
| TruthfulQA | 72.0 | 379 | 37th | |
| HellaSwag | 83.4 | 308 | 49th | |
| MMMU | 69.5 | 316 | 47th | |
| Arena Elo | 1348.8 | 367 | 39th |
What Gemini 3 Flash Nano is good for
Gemini 3 Flash 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 $7.56 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 |
|---|---|---|---|---|
| Arctic Chat | Snowflake | 16384 | $2.70 | 69.8 |
| Mixtral Turbo Base | Together AI | 32768 | $2.53 | 69.7 |
| 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 |
FAQ
How much does Gemini 3 Flash Nano cost?
Gemini 3 Flash Nano is listed at $7.56 per million input tokens and $41.55 per million output tokens. Cached input is $0.77 per million tokens. A blended 3:1 input-to-output mix is about $16.06 per million tokens.
What is the context window of Gemini 3 Flash Nano?
Gemini 3 Flash 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 3 Flash Nano open weights?
No. Gemini 3 Flash Nano is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Gemini 3 Flash Nano score on benchmarks?
Gemini 3 Flash Nano averages 69.4 across the scored benchmarks in this index, ranking #368 of 600 models. Its strongest relative result is Arena Elo at 1348.8.
What is Gemini 3 Flash Nano best for?
Gemini 3 Flash 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 $7.56 per million input tokens with a 32,768-token window, check its benchmark profile against the specific task before committing.