StableLM 2 Chat: pricing, context window and benchmarks
StableLM 2 Chat is a open-weight model from Stability AI. It offers a 8,192-token context window, costs $1.79 per million input tokens and $9.72 per million output tokens, and averages 64.6 across the index's benchmark suite.
Pricing
StableLM 2 Chat costs $1.79 per million input tokens and $9.72 per million output tokens. A blended 3:1 input-to-output mix works out to about $3.77 per million tokens. Cached input is listed at $0.17 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $1.79 | per 1M tokens |
| Output | $9.72 | per 1M tokens |
| Cached input | $0.17 | per 1M tokens |
| Blended 3:1 | $3.77 | estimate per 1M tokens |
| 1M in + 1M out | $11.51 | 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 | 66.4 | 436 | 27th | |
| GPQA Diamond | 61.8 | 392 | 35th | |
| SWE-bench Verified | 51.6 | 410 | 32th | |
| HumanEval | 69.7 | 400 | 33th | |
| MATH-500 | 68.0 | 401 | 33th | |
| AIME 2025 | 52.6 | 439 | 27th | |
| LiveCodeBench | 55.7 | 399 | 34th | |
| IFEval | 74.9 | 400 | 33th | |
| TruthfulQA | 70.1 | 399 | 34th | |
| HellaSwag | 78.7 | 396 | 34th | |
| MMMU | 61.0 | 421 | 30th | |
| Arena Elo | 1297.5 | 425 | 29th |
What StableLM 2 Chat is good for
StableLM 2 Chat 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 $1.79 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 $1.79 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Accepts more than text, including image input where the provider supports it.
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 |
|---|---|---|---|---|
| Nemotron Nano Base | NVIDIA | 8192 | $1.85 | 65.0 |
| Nova Lite Mini | Amazon | 16384 | $5.43 | 65.0 |
| StableLM 2 | Stability AI | 8192 | $1.91 | 65.0 |
| Kimi K2 8B | Moonshot AI | 8192 | $1.86 | 64.7 |
| StableLM 2 Chat | Stability AI | 8192 | $1.79 | 64.6 |
| DeepSeek-R1 8B | DeepSeek | 16384 | $1.87 | 64.3 |
FAQ
How much does StableLM 2 Chat cost?
StableLM 2 Chat is listed at $1.79 per million input tokens and $9.72 per million output tokens. Cached input is $0.17 per million tokens. A blended 3:1 input-to-output mix is about $3.77 per million tokens.
What is the context window of StableLM 2 Chat?
StableLM 2 Chat 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 Chat open weights?
Yes. StableLM 2 Chat is listed as an open-weight model under a open weights licence.
How does StableLM 2 Chat score on benchmarks?
StableLM 2 Chat averages 64.6 across the scored benchmarks in this index, ranking #408 of 600 models. Its strongest relative result is Arena Elo at 1297.5.
What is StableLM 2 Chat best for?
StableLM 2 Chat 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 $1.79 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.