StableLM 2 Base: pricing, context window and benchmarks
StableLM 2 Base is a open-weight model from Stability AI. It offers a 8,192-token context window, costs $1.49 per million input tokens and $5.44 per million output tokens, and averages 61.9 across the index's benchmark suite.
Pricing
StableLM 2 Base costs $1.49 per million input tokens and $5.44 per million output tokens. A blended 3:1 input-to-output mix works out to about $2.48 per million tokens. Cached input is listed at $0.20 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $1.49 | per 1M tokens |
| Output | $5.44 | per 1M tokens |
| Cached input | $0.20 | per 1M tokens |
| Blended 3:1 | $2.48 | estimate per 1M tokens |
| 1M in + 1M out | $6.93 | 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 | 67.7 | 421 | 30th | |
| GPQA Diamond | 58.5 | 421 | 30th | |
| SWE-bench Verified | 44.7 | 469 | 22th | |
| HumanEval | 67.3 | 418 | 30th | |
| MATH-500 | 63.9 | 426 | 29th | |
| AIME 2025 | 55.9 | 410 | 32th | |
| LiveCodeBench | 53.3 | 416 | 31th | |
| IFEval | 70.8 | 444 | 26th | |
| TruthfulQA | 66.9 | 432 | 28th | |
| HellaSwag | 74.2 | 453 | 25th | |
| MMMU | 57.4 | 463 | 23th | |
| Arena Elo | 1288.1 | 433 | 28th |
What StableLM 2 Base is good for
StableLM 2 Base is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $1.49 per million input tokens (hosted list price) and a 8,192-token context window, it is a practical option for teams that want more control than a closed API allows.
Strengths
- Input price of $1.49 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 8,192 tokens is small for long-document work.
- Average benchmark score is below the index median; test it on your own task.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 4 Maverick 7B | Meta AI | 4096 | $1.52 | 61.9 |
| Qwen3 8B | Alibaba Cloud | 8192 | $1.66 | 61.9 |
| Sonar Nano | Perplexity | 4096 | $4.37 | 61.9 |
| StableLM 2 Base | Stability AI | 8192 | $1.49 | 61.9 |
| GLM-4.6 7B | Zhipu AI | 16384 | $1.52 | 61.8 |
| GPT-NeoX | EleutherAI | 16384 | $1.57 | 61.7 |
FAQ
How much does StableLM 2 Base cost?
StableLM 2 Base is listed at $1.49 per million input tokens and $5.44 per million output tokens. Cached input is $0.20 per million tokens. A blended 3:1 input-to-output mix is about $2.48 per million tokens.
What is the context window of StableLM 2 Base?
StableLM 2 Base has a context window of 8,192 tokens and can emit up to 8,192 output tokens per request in this index.
Is StableLM 2 Base open weights?
Yes. StableLM 2 Base is listed as an open-weight model under a open weights licence.
How does StableLM 2 Base score on benchmarks?
StableLM 2 Base averages 61.9 across the scored benchmarks in this index, ranking #432 of 600 models. Its strongest relative result is Arena Elo at 1288.1.
What is StableLM 2 Base best for?
StableLM 2 Base is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $1.49 per million input tokens (hosted list price) and a 8,192-token context window, it is a practical option for teams that want more control than a closed API allows.