o4-mini 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
o4-mini specs · SmolLM2 1.7B specs- Priceo4-mini
o4-mini publishes pricing ($4.40 / 1M output tokens) while SmolLM2 1.7B does not.
- Context windowo4-mini
o4-mini accepts 200K tokens vs 8.2K, 24.4× 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.
- Modalitieso4-mini
o4-mini supports 2 modalities (text, vision) vs 1 for SmolLM2 1.7B.
- OpennessSmolLM2 1.7B
SmolLM2 1.7B ships open weights (Apache-2.0); o4-mini is API-only.
On balance o4-mini edges ahead, winning 3 of 5 categories against SmolLM2 1.7B's 1. o4-mini publishes pricing ($4.40 / 1M output tokens) while SmolLM2 1.7B does not. o4-mini accepts 200K tokens vs 8.2K, 24.4× the room for long documents and codebases.
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. They differ in modality coverage, o4-mini handles text, vision while SmolLM2 1.7B handles text, which can be the deciding factor before you even look at benchmarks. SmolLM2 1.7B ships open weights (Apache-2.0); o4-mini is API-only.
o4-mini is the newer of the two, released 6 months after SmolLM2 1.7B, which usually means a more recent knowledge cutoff and updated safety post-training. o4-mini is usually picked for reasoning and math 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 | o4-mini | SmolLM2 1.7B |
|---|---|---|
| Provider | OpenAI | Other |
| Released | Apr 2025 | Nov 2024 |
| Modalities | text, vision | text |
| Context window | 200K tokens | 8.2K tokens |
| Max output | , | , |
| Input · 1M | $1.10 / 1M tokens | Pricing not published |
| Output · 1M | $4.40 / 1M tokens | Pricing not published |
| Knowledge cutoff | 2024-06 | , |
| Open weights | No | Yes (Apache-2.0) |
| API available | Yes | 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$9.90 vs ,
- Heavy usage, 1M in / 500k out per day$99.00 vs ,
- RAG workload, 5M in / 200k out per day$191 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.
- o4-mini$0.330
- 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.
- GPQA81.4
o4-mini fits when…
- Strong reasoning at mid-tier price
- Fast for a thinking model
- Solid tool-use
- Long-context tasks, handles 200K tokens vs 8.2K for SmolLM2 1.7B.
- Multimodal needs covering vision.
SmolLM2 1.7B fits when…
- Truly tiny
- Apache-2.0
- Runs on phones
- Self-hosting and on-prem requirements, open weights (Apache-2.0).
Consider GPT-5.5
OpenAI's mid-cycle GPT-5 refresh, improved reasoning, tool use, and multimodal grounding over the 2025 launch.
Frequently asked
Is o4-mini 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?
o4-mini accepts 200K tokens vs 8.2K for SmolLM2 1.7B.Is o4-mini or SmolLM2 1.7B better for coding?
Both o4-mini 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?
SmolLM2 1.7B ships open weights (Apache-2.0). o4-mini is API-only.When were o4-mini and SmolLM2 1.7B released?
o4-mini was released by OpenAI on 2025-04-16. SmolLM2 1.7B was released by Other on 2024-11-01.
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