Claude Sonnet 4.5 Nano on HellaSwag: score, rank and what it means
Claude Sonnet 4.5 Nano scores 83.0 on HellaSwag, placing it #319 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 Claude Sonnet 4.5 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, Claude Sonnet 4.5 Nano sits at #319 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 13.1 points. The median model in this index scores 83.6, which puts Claude Sonnet 4.5 Nano below the midpoint.
Anthropic models average 89.3 on this benchmark. Claude Sonnet 4.5 Nano is 6.3 points below that provider line, so it is a weaker result than the average Anthropic model.
Among mid-range models, the average is 79.8. Claude Sonnet 4.5 Nano is 3.2 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 83.0 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 $8.93 per million input tokens, Claude Sonnet 4.5 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 |
|---|---|---|---|---|
| DBRX Instruct | Databricks | 8192 | $3.21 | 72.4 |
| Firefunction Reasoning | Fireworks AI | 8192 | $9.08 | 72.5 |
| Llama 3 Modal Chat | Modal | 65536 | $3.55 | 73.3 |
| Nova Pro Mini | Amazon | 16384 | $7.74 | 70.6 |
| Claude Sonnet 4.5 Nano | Anthropic | 8192 | $8.93 | 72.0 |
| Llama 3.3 Base | Meta AI | 32768 | $3.63 | 74.0 |
| Reka Flash | Reka AI | 128000 | $9.95 | 74.1 |
Other benchmarks for Claude Sonnet 4.5 Nano
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 77.3 | 268 | 55th | |
| GPQA Diamond | 68.9 | 298 | 50th | |
| SWE-bench Verified | 61.2 | 295 | 51th | |
| HumanEval | 74.8 | 345 | 43th | |
| MATH-500 | 73.1 | 355 | 41th | |
| AIME 2025 | 64.2 | 353 | 41th | |
| LiveCodeBench | 61.2 | 359 | 40th | |
| IFEval | 82.2 | 269 | 55th | |
| TruthfulQA | 75.6 | 317 | 47th | |
| MMMU | 70.1 | 297 | 51th | |
| Arena Elo | 1364.3 | 334 | 44th |
FAQ
What score does Claude Sonnet 4.5 Nano get on HellaSwag?
Claude Sonnet 4.5 Nano scores 83.0 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.
How does Claude Sonnet 4.5 Nano rank on HellaSwag?
It ranks #319 of 600 models, in the 47th percentile. The leader is GPT-5.2 Max at 96.1.
Is Claude Sonnet 4.5 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 Claude Sonnet 4.5 Nano cost?
Claude Sonnet 4.5 Nano costs $8.93 per million input tokens and $36.88 per million output tokens.