OLMo 2 13B vs SmolLM2 1.7B
A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.
Updated
OLMo 2 13B specs · SmolLM2 1.7B specs- PriceTie
Neither model publishes per-token API pricing.
- Context windowSmolLM2 1.7B
SmolLM2 1.7B accepts 8.2K tokens vs 4.1K, 2.0× the room for long documents and codebases.
- BenchmarksTie
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.
- ModalitiesTie
Both handle text.
- OpennessTie
Both ship open weights, self-host either one.
On balance SmolLM2 1.7B edges ahead, winning 1 of 5 categories against OLMo 2 13B's 0. Neither model publishes per-token API pricing. SmolLM2 1.7B accepts 8.2K tokens vs 4.1K, 2.0× the room for long documents and codebases.
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. Both target the same set of modalities (text), so the deciding factors are price, context, and raw quality. Both ship open weights, self-host either one.
Both shipped within roughly a month of each other in 2024, so they share the same generation of training data and tooling. OLMo 2 13B is usually picked for open source llm and fine tuning workloads, while SmolLM2 1.7B sees more deployments in on device and edge deployment. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.
Side-by-side specs
| Spec | OLMo 2 13B | SmolLM2 1.7B |
|---|---|---|
| Provider | Other | Other |
| Released | Nov 2024 | Nov 2024 |
| Modalities | text | text |
| Context window | 4.1K tokens | 8.2K tokens |
| Max output | , | , |
| Input · 1M | Pricing not published | Pricing not published |
| Output · 1M | Pricing not published | Pricing not published |
| Knowledge cutoff | , | , |
| Open weights | Yes (Apache-2.0) | Yes (Apache-2.0) |
| API available | No | No |
Pricing at scale
What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.
- Light usage, 100k in / 50k out per day, vs ,
- Heavy usage, 1M in / 500k out per day, vs ,
- RAG workload, 5M in / 200k out per day, vs ,
Light usage, 100k in / 50k out per day: pricing not directly comparable (one or both models are missing public per-token rates). Heavy usage, 1M in / 500k out per day: pricing not directly comparable (one or both models are missing public per-token rates). RAG workload, 5M in / 200k out per day: pricing not directly comparable (one or both models are missing public per-token rates).
Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.
- OLMo 2 13BPricing unavailable
- SmolLM2 1.7BPricing unavailable
Benchmarks compared
Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.
OLMo 2 13B fits when…
- Fully reproducible
- Apache-2.0
- Research-friendly
SmolLM2 1.7B fits when…
- Truly tiny
- Apache-2.0
- Runs on phones
- Long-context tasks, handles 8.2K tokens vs 4.1K for OLMo 2 13B.
Consider DBRX
Databricks' 132B MoE, a notable 2024 open-weight release tuned for enterprise.
Frequently asked
Is OLMo 2 13B or SmolLM2 1.7B cheaper?
Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.Which has the larger context window?
SmolLM2 1.7B accepts 8.2K tokens vs 4.1K for OLMo 2 13B.Is OLMo 2 13B or SmolLM2 1.7B better for coding?
Both OLMo 2 13B and SmolLM2 1.7B are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.Are either of these models open source?
Both ship with open weights. OLMo 2 13B is licensed under Apache-2.0; SmolLM2 1.7B under Apache-2.0.When were OLMo 2 13B and SmolLM2 1.7B released?
OLMo 2 13B was released by Other on 2024-11-26. SmolLM2 1.7B was released by Other on 2024-11-01.
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