StableLM 2 1.5B: pricing, context window and benchmarks
StableLM 2 1.5B is a small open-weight model from Stability AI. It offers a 16,384-token context window, costs $0.13 per million input tokens and $0.46 per million output tokens, and averages 38.3 across the index's benchmark suite.
Pricing
StableLM 2 1.5B costs $0.13 per million input tokens and $0.46 per million output tokens. A blended 3:1 input-to-output mix works out to about $0.21 per million tokens. Cached input is listed at $0.02 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $0.13 | per 1M tokens |
| Output | $0.46 | per 1M tokens |
| Cached input | $0.02 | per 1M tokens |
| Blended 3:1 | $0.21 | estimate per 1M tokens |
| 1M in + 1M out | $0.59 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| 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 | |
| LiveCodeBench | 22.2 | 597 | 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 |
What StableLM 2 1.5B is good for
StableLM 2 1.5B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.13 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $0.13 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
Trade-offs
- Context window of 16,384 tokens is small for long-document work.
- Average benchmark score is below the index median; test it on your own task.
- Less reliable on open-ended reasoning and complex multi-step instructions.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Pythia 7B | EleutherAI | 8192 | $0.10 | 40.7 |
| StableLM 2 1.5B | Stability AI | 16384 | $0.13 | 38.3 |
| Zephyr 1.5B | Hugging Face | 32768 | $0.10 | 38.0 |
| SmolLM3 1.5B | Hugging Face | 8192 | $0.04 | 36.8 |
| GPT-NeoX 1.5B | EleutherAI | 32768 | $0.06 | 36.4 |
| Pythia 1.5B | EleutherAI | 4096 | $0.10 | 35.8 |
FAQ
How much does StableLM 2 1.5B cost?
StableLM 2 1.5B is listed at $0.13 per million input tokens and $0.46 per million output tokens. Cached input is $0.016 per million tokens. A blended 3:1 input-to-output mix is about $0.21 per million tokens.
What is the context window of StableLM 2 1.5B?
StableLM 2 1.5B has a context window of 16,384 tokens and can emit up to 4,096 output tokens per request in this index.
Is StableLM 2 1.5B open weights?
Yes. StableLM 2 1.5B is listed as an open-weight model under a open weights licence.
How does StableLM 2 1.5B score on benchmarks?
StableLM 2 1.5B averages 38.3 across the scored benchmarks in this index, ranking #596 of 600 models. Its strongest relative result is Arena Elo at 1103.1.
What is StableLM 2 1.5B best for?
StableLM 2 1.5B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.13 per million input tokens it can handle a large share of production traffic.