SmolLM3 Instruct on HellaSwag: score, rank and what it means
SmolLM3 Instruct scores 75.1 on HellaSwag, placing it #440 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 SmolLM3 Instruct 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, SmolLM3 Instruct sits at #440 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 21.0 points. The median model in this index scores 83.6, which puts SmolLM3 Instruct below the midpoint.
Hugging Face models average 70.2 on this benchmark. SmolLM3 Instruct is 4.9 points above that provider line, so it is a stronger result than the average Hugging Face model.
Among open-weight models, the average is 80.2. SmolLM3 Instruct is 5.1 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 75.1 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 $1.69 per million input tokens, SmolLM3 Instruct 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 |
|---|---|---|---|---|
| Embed 4 | Cohere | 32768 | $4.79 | 63.8 |
| Llama 3.3 Groq 8B | Groq | 16384 | $1.17 | 59.5 |
| Llama 4 Maverick 7B | Meta AI | 4096 | $1.52 | 61.9 |
| Nova Lite Nano | Amazon | 8192 | $3.29 | 59.5 |
| SmolLM3 Instruct | Hugging Face | 8192 | $1.69 | 63.6 |
| Sonar Nano | Perplexity | 4096 | $4.37 | 61.9 |
| GPT-NeoX | EleutherAI | 16384 | $1.57 | 61.7 |
Other benchmarks for SmolLM3 Instruct
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 67.3 | 428 | 29th | |
| GPQA Diamond | 58.4 | 423 | 30th | |
| SWE-bench Verified | 50.6 | 417 | 31th | |
| HumanEval | 69.2 | 408 | 32th | |
| MATH-500 | 67.0 | 409 | 32th | |
| AIME 2025 | 54.4 | 419 | 30th | |
| LiveCodeBench | 56.1 | 397 | 34th | |
| IFEval | 74.0 | 406 | 32th | |
| TruthfulQA | 66.5 | 438 | 27th | |
| MMMU | 60.5 | 425 | 29th | |
| Arena Elo | 1297.8 | 423 | 30th |
FAQ
What score does SmolLM3 Instruct get on HellaSwag?
SmolLM3 Instruct scores 75.1 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.
How does SmolLM3 Instruct rank on HellaSwag?
It ranks #440 of 600 models, in the 27th percentile. The leader is GPT-5.2 Max at 96.1.
Is SmolLM3 Instruct 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 SmolLM3 Instruct cost?
SmolLM3 Instruct costs $1.69 per million input tokens and $8.67 per million output tokens.