Gemini 2.5 Pro Nano on HellaSwag: score, rank and what it means
Gemini 2.5 Pro Nano scores 80.7 on HellaSwag, placing it #375 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.
Score distribution
The chart shows the top 10 models on HellaSwag, with Gemini 2.5 Pro Nano highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 2 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 3 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 4 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 5 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 6 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 7 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
| 8 | Gemini 3 Pro Turbo | Google DeepMind | 400000 | $19.62 | 86.4 |
| 9 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 10 | o4 Pro | OpenAI | 1000000 | $19.37 | 87.3 |
What this score means
On HellaSwag, Gemini 2.5 Pro Nano sits at #375 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 15.4 points. The median model in this index scores 83.6, which puts Gemini 2.5 Pro Nano below the midpoint.
Google DeepMind models average 86.9 on this benchmark. Gemini 2.5 Pro Nano is 6.2 points below that provider line, so it is a weaker result than the average Google DeepMind model.
Among mid-range models, the average is 79.8. Gemini 2.5 Pro Nano is 0.9 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 80.7 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.
Price context
At $7.28 per million input tokens, Gemini 2.5 Pro Nano is above the median input price of $4.00 across the 600 models scored on HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Mixtral Base | Mistral AI | 65536 | $2.95 | 71.1 |
| Mixtral Groq Chat | Groq | 8192 | $3.09 | 72.0 |
| Phi-3.5 Chat | Microsoft | 16384 | $2.64 | 69.0 |
| DBRX Chat | Databricks | 65536 | $3.07 | 71.7 |
| Gemini 2.5 Pro Nano | Google DeepMind | 32768 | $7.28 | 69.2 |
| Sonar Pro Mini | Perplexity | 8192 | $8.02 | 70.3 |
| Arctic | Snowflake | 8192 | $2.72 | 68.8 |
Other benchmarks for Gemini 2.5 Pro Nano
| 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 | |
| MMMU | 65.9 | 374 | 38th | |
| Arena Elo | 1349.7 | 364 | 39th |
FAQ
What score does Gemini 2.5 Pro Nano get on HellaSwag?
Gemini 2.5 Pro Nano scores 80.7 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.
How does Gemini 2.5 Pro Nano rank on HellaSwag?
It ranks #375 of 600 models, in the 38th percentile. The leader is GPT-5.2 Max at 96.1.
Is Gemini 2.5 Pro Nano good at HellaSwag?
It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.
How is the HellaSwag score calculated?
HellaSwag is a commonsense benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.
What does Gemini 2.5 Pro Nano cost?
Gemini 2.5 Pro Nano costs $7.28 per million input tokens and $28.44 per million output tokens.