LLM·Dex

o3-mini vs Qwen3-32B

A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.

Updated

o3-mini specs · Qwen3-32B specs
Verdict by category
  • Priceo3-mini

    o3-mini publishes pricing ($4.40 / 1M output tokens) while Qwen3-32B does not.

  • Context windowo3-mini

    o3-mini accepts 200K tokens vs 128K, 1.6× 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.

  • OpennessQwen3-32B

    Qwen3-32B ships open weights (Apache-2.0); o3-mini is API-only.

On balance o3-mini edges ahead, winning 2 of 5 categories against Qwen3-32B's 1. o3-mini publishes pricing ($4.40 / 1M output tokens) while Qwen3-32B does not. o3-mini accepts 200K tokens vs 128K, 1.6× 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. Qwen3-32B ships open weights (Apache-2.0); o3-mini is API-only.

Qwen3-32B is the newer of the two, released 3 months after o3-mini, which usually means a more recent knowledge cutoff and updated safety post-training. o3-mini is usually picked for reasoning and math workloads, while Qwen3-32B sees more deployments in open source llm 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

Speco3-miniQwen3-32B
ProviderOpenAIAlibaba
ReleasedJan 2025Apr 2025
Modalitiestexttext
Context window200K tokens128K tokens
Max output,,
Input · 1M$1.10 / 1M tokensPricing not published
Output · 1M$4.40 / 1M tokensPricing not published
Knowledge cutoff2023-10,
Open weightsNoYes (Apache-2.0)
API availableYesYes

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).

Price calculator

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

  • o3-mini$0.330
  • Qwen3-32BPricing unavailable

Benchmarks compared

Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.

o3-miniQwen3-32B
  • GPQA79.7
Pick o3-mini if

o3-mini fits when…

  • Reasoning at mid-tier cost
  • Fast for a thinking model
  • Long-context tasks, handles 200K tokens vs 128K for Qwen3-32B.
Pick Qwen3-32B if

Qwen3-32B fits when…

  • Apache-2.0
  • Fits modest hardware budgets
  • 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-mini or Qwen3-32B 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-mini accepts 200K tokens vs 128K for Qwen3-32B.
  • Is o3-mini or Qwen3-32B better for coding?
    Both o3-mini and Qwen3-32B 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?
    Qwen3-32B ships open weights (Apache-2.0). o3-mini is API-only.
  • When were o3-mini and Qwen3-32B released?
    o3-mini was released by OpenAI on 2025-01-31. Qwen3-32B was released by Alibaba on 2025-04-29.
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