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o4 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

o4 specs · Qwen3-32B specs
Verdict by category
  • PriceTie

    Neither model publishes per-token API pricing.

  • Context windowo4

    o4 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.

  • Modalitieso4

    o4 supports 2 modalities (text, vision) vs 1 for Qwen3-32B.

  • OpennessQwen3-32B

    Qwen3-32B ships open weights (Apache-2.0); o4 is API-only.

On balance o4 edges ahead, winning 2 of 5 categories against Qwen3-32B's 1. Neither model publishes per-token API pricing. o4 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. They differ in modality coverage, o4 handles text, vision while Qwen3-32B handles text, which can be the deciding factor before you even look at benchmarks. Qwen3-32B ships open weights (Apache-2.0); o4 is API-only.

o4 is the newer of the two, released 8 months after Qwen3-32B, which usually means a more recent knowledge cutoff and updated safety post-training. o4 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

Speco4Qwen3-32B
ProviderOpenAIAlibaba
ReleasedDec 2025Apr 2025
Modalitiestext, visiontext
Context window200K tokens128K tokens
Max output,,
Input · 1MPricing not publishedPricing not published
Output · 1MPricing not publishedPricing not published
Knowledge cutoff,,
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, 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).

Price calculator

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

  • o4Pricing unavailable
  • 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.

Benchmark scores not yet available. We only publish numbers we can source from official model cards or independent leaderboards, see methodology.
Pick o4 if

o4 fits when…

  • Exceptional performance on hard math and reasoning benchmarks
  • Good at multi-step planning and verification
  • Strong scientific reasoning
  • Long-context tasks, handles 200K tokens vs 128K for Qwen3-32B.
  • Multimodal needs covering vision.
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.

See GPT-5.5 specso4 vs GPT-5.5Qwen3-32B vs GPT-5.5

Frequently asked

  • Is o4 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?
    o4 accepts 200K tokens vs 128K for Qwen3-32B.
  • Is o4 or Qwen3-32B better for coding?
    Both o4 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). o4 is API-only.
  • When were o4 and Qwen3-32B released?
    o4 was released by OpenAI on 2025-12-15. Qwen3-32B was released by Alibaba on 2025-04-29.
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