Pythia 8B on HellaSwag: score, rank and what it means
Pythia 8B scores 60.7 on HellaSwag, placing it #595 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 Pythia 8B 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, Pythia 8B sits at #595 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 35.4 points. The median model in this index scores 83.6, which puts Pythia 8B below the midpoint.
EleutherAI models average 68.1 on this benchmark. Pythia 8B is 7.4 points below that provider line, so it is a weaker result than the average EleutherAI model.
Among small open-weight models, the average is 70.2. Pythia 8B is 9.5 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 60.7 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 $0.16 per million input tokens, Pythia 8B is below 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 |
|---|---|---|---|---|
| Molmo 1.5B | Allen Institute for AI | 8192 | $0.21 | 42.8 |
| GPT-NeoX 8B | EleutherAI | 16384 | $0.25 | 43.7 |
| Pythia 7B | EleutherAI | 8192 | $0.10 | 40.7 |
| Nemotron Nano 1.5B | NVIDIA | 8192 | $0.10 | 41.5 |
| Pythia 8B | EleutherAI | 32768 | $0.16 | 41.4 |
| Zephyr 1.5B | Hugging Face | 32768 | $0.10 | 38.0 |
| StableLM 2 1.5B | Stability AI | 16384 | $0.13 | 38.3 |
Other benchmarks for Pythia 8B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 50.3 | 593 | 1th | |
| GPQA Diamond | 38.2 | 592 | 1th | |
| SWE-bench Verified | 27.3 | 588 | 2th | |
| HumanEval | 42.8 | 594 | 1th | |
| MATH-500 | 37.9 | 595 | 1th | |
| AIME 2025 | 29.8 | 584 | 3th | |
| LiveCodeBench | 24.1 | 594 | 1th | |
| IFEval | 53.9 | 593 | 1th | |
| TruthfulQA | 49.7 | 594 | 1th | |
| MMMU | 40.5 | 593 | 1th | |
| Arena Elo | 1130.8 | 592 | 1th |
FAQ
What score does Pythia 8B get on HellaSwag?
Pythia 8B scores 60.7 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.
How does Pythia 8B rank on HellaSwag?
It ranks #595 of 600 models, in the 1st percentile. The leader is GPT-5.2 Max at 96.1.
Is Pythia 8B 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 Pythia 8B cost?
Pythia 8B costs $0.16 per million input tokens and $0.79 per million output tokens.