LLM·Dex

o3 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

o3 specs · SmolLM2 1.7B specs
Verdict by category
  • Priceo3

    o3 publishes pricing ($8.00 / 1M output tokens) while SmolLM2 1.7B does not.

  • Context windowo3

    o3 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.

  • Modalitieso3

    o3 supports 2 modalities (text, vision) vs 1 for SmolLM2 1.7B.

  • OpennessSmolLM2 1.7B

    SmolLM2 1.7B ships open weights (Apache-2.0); o3 is API-only.

On balance o3 edges ahead, winning 3 of 5 categories against SmolLM2 1.7B's 1. o3 publishes pricing ($8.00 / 1M output tokens) while SmolLM2 1.7B does not. o3 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, o3 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); o3 is API-only.

o3 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. o3 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

Speco3SmolLM2 1.7B
ProviderOpenAIOther
ReleasedApr 2025Nov 2024
Modalitiestext, visiontext
Context window200K tokens8.2K tokens
Max output,,
Input · 1M$2.00 / 1M tokensPricing not published
Output · 1M$8.00 / 1M tokensPricing not published
Knowledge cutoff2024-06,
Open weightsNoYes (Apache-2.0)
API availableYesNo

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$18.00 vs ,
  • Heavy usage, 1M in / 500k out per day$180 vs ,
  • RAG workload, 5M in / 200k out per day$348 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).

Price calculator

Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.

  • o3$0.600
  • 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.

o3SmolLM2 1.7B
  • HumanEval95.0
  • GPQA87.7
Pick o3 if

o3 fits when…

  • Industry-leading reasoning depth at launch
  • Strong on math, science, and abstract puzzles
  • Tool-use during reasoning loops
  • Long-context tasks, handles 200K tokens vs 8.2K for SmolLM2 1.7B.
  • Multimodal needs covering vision.
Pick SmolLM2 1.7B if

SmolLM2 1.7B fits when…

  • Truly tiny
  • Apache-2.0
  • Runs on phones
  • Self-hosting and on-prem requirements, open weights (Apache-2.0).
Don't want either?

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 o3 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?
    o3 accepts 200K tokens vs 8.2K for SmolLM2 1.7B.
  • Is o3 or SmolLM2 1.7B better for coding?
    Both o3 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). o3 is API-only.
  • When were o3 and SmolLM2 1.7B released?
    o3 was released by OpenAI on 2025-04-16. SmolLM2 1.7B was released by Other on 2024-11-01.
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