StableLM 2 7B on HumanEval: score, rank and what it means
StableLM 2 7B scores 45.2 on HumanEval, placing it #589 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 StableLM 2 7B 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, StableLM 2 7B sits at #589 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 51.6 points. The median model in this index scores 77.4, which puts StableLM 2 7B below the midpoint.
Stability AI models average 58.8 on this benchmark. StableLM 2 7B is 13.6 points below that provider line, so it is a weaker result than the average Stability AI model.
Among small open-weight models, the average is 56.7. StableLM 2 7B is 11.5 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 45.2 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 $0.28 per million input tokens, StableLM 2 7B 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 |
|---|---|---|---|---|
| SmolLM3 7B | Hugging Face | 16384 | $0.19 | 44.3 |
| Arctic 1.5B | Snowflake | 32768 | $0.15 | 43.2 |
| Molmo 1.5B | Allen Institute for AI | 8192 | $0.21 | 42.8 |
| Zephyr 8B | Hugging Face | 8192 | $0.22 | 43.0 |
| StableLM 2 7B | Stability AI | 8192 | $0.28 | 44.3 |
| GPT-NeoX 8B | EleutherAI | 16384 | $0.25 | 43.7 |
| Nemotron Nano 1.5B | NVIDIA | 8192 | $0.10 | 41.5 |
Other benchmarks for StableLM 2 7B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 50.2 | 594 | 1th | |
| GPQA Diamond | 40.7 | 583 | 3th | |
| SWE-bench Verified | 30.9 | 578 | 4th | |
| MATH-500 | 42.6 | 588 | 2th | |
| AIME 2025 | 28.2 | 587 | 2th | |
| LiveCodeBench | 28.2 | 587 | 2th | |
| IFEval | 57.7 | 585 | 3th | |
| TruthfulQA | 52.7 | 584 | 3th | |
| HellaSwag | 65.2 | 582 | 3th | |
| MMMU | 46.0 | 581 | 3th | |
| Arena Elo | 1155.7 | 582 | 3th |
FAQ
What score does StableLM 2 7B get on HumanEval?
StableLM 2 7B scores 45.2 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.
How does StableLM 2 7B rank on HumanEval?
It ranks #589 of 600 models, in the 2nd percentile. The leader is GPT-5.2 Pro at 96.8.
Is StableLM 2 7B 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 StableLM 2 7B cost?
StableLM 2 7B costs $0.28 per million input tokens and $1.47 per million output tokens.