StableLM 2 1.5B on LiveCodeBench: score, rank and what it means
StableLM 2 1.5B scores 22.2 on LiveCodeBench, placing it #597 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.
Score distribution
The chart shows the top 10 models on LiveCodeBench, with StableLM 2 1.5B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 2 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 3 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 4 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 5 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 6 | GPT-5.1 Turbo | OpenAI | 2000000 | $19.19 | 86.1 |
| 7 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 8 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 9 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
What this score means
On LiveCodeBench, StableLM 2 1.5B sits at #597 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 62.9 points. The median model in this index scores 64.7, which puts StableLM 2 1.5B below the midpoint.
Stability AI models average 42.9 on this benchmark. StableLM 2 1.5B is 20.7 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 41.2. StableLM 2 1.5B is 19.0 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 22.2 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 $0.13 per million input tokens, StableLM 2 1.5B is below the median input price of $4.00 across the 600 models scored on LiveCodeBench. 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 |
| Pythia 8B | EleutherAI | 32768 | $0.16 | 41.4 |
| GPT-NeoX 7B | EleutherAI | 8192 | $0.20 | 42.4 |
| Zephyr 1.5B | Hugging Face | 32768 | $0.10 | 38.0 |
| StableLM 2 1.5B | Stability AI | 16384 | $0.13 | 38.3 |
| GPT-NeoX 1.5B | EleutherAI | 32768 | $0.06 | 36.4 |
| Pythia 1.5B | EleutherAI | 4096 | $0.10 | 35.8 |
Other benchmarks for StableLM 2 1.5B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 48.2 | 597 | 1th | |
| GPQA Diamond | 32.7 | 597 | 1th | |
| SWE-bench Verified | 19.4 | 597 | 1th | |
| HumanEval | 39.5 | 598 | 1th | |
| MATH-500 | 34.3 | 599 | 1th | |
| AIME 2025 | 24.8 | 595 | 1th | |
| IFEval | 50.8 | 598 | 1th | |
| TruthfulQA | 49.8 | 593 | 1th | |
| HellaSwag | 59.4 | 597 | 1th | |
| MMMU | 39.8 | 595 | 1th | |
| Arena Elo | 1103.1 | 598 | 1th |
FAQ
What score does StableLM 2 1.5B get on LiveCodeBench?
StableLM 2 1.5B scores 22.2 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.
How does StableLM 2 1.5B rank on LiveCodeBench?
It ranks #597 of 600 models, in the 1st percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.
Is StableLM 2 1.5B good at LiveCodeBench?
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 LiveCodeBench score calculated?
LiveCodeBench 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 1.5B cost?
StableLM 2 1.5B costs $0.13 per million input tokens and $0.46 per million output tokens.