LLM·Dex

Gemini 2.5 Pro 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.

Verdict by category
  • PriceGemini 2.5 Pro

    Gemini 2.5 Pro publishes pricing ($10.00 / 1M output tokens) while Qwen3-32B does not.

  • Context windowGemini 2.5 Pro

    Gemini 2.5 Pro accepts 2.1M tokens vs 128K, 16.4× 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.

  • ModalitiesGemini 2.5 Pro

    Gemini 2.5 Pro supports 4 modalities (text, vision, audio, video) vs 1 for Qwen3-32B.

  • OpennessQwen3-32B

    Qwen3-32B ships open weights (Apache-2.0); Gemini 2.5 Pro is API-only.

On balance Gemini 2.5 Pro edges ahead, winning 3 of 5 categories against Qwen3-32B's 1. Gemini 2.5 Pro publishes pricing ($10.00 / 1M output tokens) while Qwen3-32B does not. Gemini 2.5 Pro accepts 2.1M tokens vs 128K, 16.4× 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, Gemini 2.5 Pro handles text, vision, audio, video 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); Gemini 2.5 Pro is API-only.

Qwen3-32B is the newer of the two, released 1 months after Gemini 2.5 Pro, which usually means a more recent knowledge cutoff and updated safety post-training. Gemini 2.5 Pro is usually picked for long context and rag 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

SpecGemini 2.5 ProQwen3-32B
ProviderGoogleAlibaba
ReleasedMar 2025Apr 2025
Modalitiestext, vision, audio, videotext
Context window2.1M tokens128K tokens
Max output,,
Input · 1M$1.25 / 1M tokensPricing not published
Output · 1M$10.00 / 1M tokensPricing not published
Knowledge cutoff2025-01,
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$18.75 vs ,
  • Heavy usage, 1M in / 500k out per day$188 vs ,
  • RAG workload, 5M in / 200k out per day$248 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.

  • Gemini 2.5 Pro$0.625
  • 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.

Gemini 2.5 ProQwen3-32B
  • MMLU86.0
  • GPQA84.0
Pick Gemini 2.5 Pro if

Gemini 2.5 Pro fits when…

  • 2M-token context window
  • Strong on long-document tasks
  • Native multimodal handling
  • Long-context tasks, handles 2.1M tokens vs 128K for Qwen3-32B.
  • Multimodal needs covering vision, audio, video.
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 Gemini 3 Pro

Google's late-2025 flagship, set new benchmarks on long-context, vision, and reasoning at competitive pricing.

Frequently asked

  • Is Gemini 2.5 Pro 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?
    Gemini 2.5 Pro accepts 2.1M tokens vs 128K for Qwen3-32B.
  • Is Gemini 2.5 Pro or Qwen3-32B better for coding?
    Both Gemini 2.5 Pro 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). Gemini 2.5 Pro is API-only.
  • When were Gemini 2.5 Pro and Qwen3-32B released?
    Gemini 2.5 Pro was released by Google on 2025-03-25. Qwen3-32B was released by Alibaba on 2025-04-29.
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