SmolLM3 1.5B on HumanEval: score, rank and what it means
SmolLM3 1.5B scores 39.8 on HumanEval, placing it #597 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.
Score distribution
The chart shows the top 10 models on HumanEval, with SmolLM3 1.5B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 2 | Gemini 3 Pro Pro | Google DeepMind | 200000 | $19.80 | 87.3 |
| 3 | o4 Max | OpenAI | 2000000 | $19.51 | 86.2 |
| 4 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 5 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 6 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 7 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 8 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 9 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 10 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
What this score means
On HumanEval, SmolLM3 1.5B sits at #597 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 57.0 points. The median model in this index scores 77.4, which puts SmolLM3 1.5B below the midpoint.
Hugging Face models average 56.7 on this benchmark. SmolLM3 1.5B is 16.9 points below that provider line, so it is a weaker result than the average Hugging Face model.
Among small open-weight models, the average is 56.7. SmolLM3 1.5B is 16.9 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 39.8 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 $0.040 per million input tokens, SmolLM3 1.5B is below the median input price of $4.00 across the 600 models scored on HumanEval. 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 |
|---|---|---|---|---|
| Pythia 7B | EleutherAI | 8192 | $0.10 | 40.7 |
| Pythia 8B | EleutherAI | 32768 | $0.16 | 41.4 |
| Zephyr 7B | Hugging Face | 32768 | $0.23 | 42.5 |
| Zephyr 1.5B | Hugging Face | 32768 | $0.10 | 38.0 |
| SmolLM3 1.5B | Hugging Face | 8192 | $0.04 | 36.8 |
| StableLM 2 1.5B | Stability AI | 16384 | $0.13 | 38.3 |
| Pythia 1.5B | EleutherAI | 4096 | $0.10 | 35.8 |
Other benchmarks for SmolLM3 1.5B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 46.7 | 599 | 1th | |
| GPQA Diamond | 31.9 | 599 | 1th | |
| SWE-bench Verified | 18.4 | 599 | 1th | |
| MATH-500 | 37.7 | 596 | 1th | |
| AIME 2025 | 21.7 | 597 | 1th | |
| LiveCodeBench | 20.0 | 600 | 1th | |
| IFEval | 50.2 | 599 | 1th | |
| TruthfulQA | 44.2 | 600 | 1th | |
| HellaSwag | 58.1 | 599 | 1th | |
| MMMU | 35.8 | 599 | 1th | |
| Arena Elo | 1103.0 | 599 | 1th |
FAQ
What score does SmolLM3 1.5B get on HumanEval?
SmolLM3 1.5B scores 39.8 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.
How does SmolLM3 1.5B rank on HumanEval?
It ranks #597 of 600 models, in the 1st percentile. The leader is GPT-5.2 Pro at 96.8.
Is SmolLM3 1.5B good at HumanEval?
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 HumanEval score calculated?
HumanEval is a coding 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 1.5B cost?
SmolLM3 1.5B costs $0.040 per million input tokens and $0.17 per million output tokens.