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Gemini 3 Pro vs Qwen3-72B

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

Updated

Gemini 3 Pro specs · Qwen3-72B specs
Verdict by category
  • PriceTie

    Neither model publishes per-token API pricing.

  • Context windowGemini 3 Pro

    Gemini 3 Pro accepts 1.0M tokens vs 128K, 8.2× the room for long documents and codebases.

  • BenchmarksGemini 3 Pro

    Gemini 3 Pro leads in 1 of 1 shared benchmarks; the biggest gap is on MMLU (broad academic knowledge), where it scores 91.8 vs 84.0.

  • ModalitiesGemini 3 Pro

    Gemini 3 Pro supports 4 modalities (text, vision, audio, video) vs 1 for Qwen3-72B.

  • OpennessQwen3-72B

    Qwen3-72B ships open weights (Apache-2.0); Gemini 3 Pro is API-only.

On balance Gemini 3 Pro edges ahead, winning 3 of 5 categories against Qwen3-72B's 1. Neither model publishes per-token API pricing. Gemini 3 Pro accepts 1.0M tokens vs 128K, 8.2× the room for long documents and codebases.

Gemini 3 Pro leads in 1 of 1 shared benchmarks; the biggest gap is on MMLU (broad academic knowledge), where it scores 91.8 vs 84.0. They differ in modality coverage, Gemini 3 Pro handles text, vision, audio, video while Qwen3-72B handles text, which can be the deciding factor before you even look at benchmarks. Qwen3-72B ships open weights (Apache-2.0); Gemini 3 Pro is API-only.

Gemini 3 Pro is the newer of the two, released 7 months after Qwen3-72B, which usually means a more recent knowledge cutoff and updated safety post-training. Gemini 3 Pro is usually picked for long context and rag workloads, while Qwen3-72B sees more deployments in open source llm and commercial use llm. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecGemini 3 ProQwen3-72B
ProviderGoogleAlibaba
ReleasedDec 2025Apr 2025
Modalitiestext, vision, audio, videotext
Context window1.0M tokens128K tokens
Max output65.5K tokens,
Input · 1MPricing not publishedPricing not published
Output · 1MPricing not publishedPricing 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, 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.

  • Gemini 3 ProPricing unavailable
  • Qwen3-72BPricing 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 3 ProQwen3-72B
  • MMLU91.884.0
  • HumanEval95.4
  • GPQA91.9
Pick Gemini 3 Pro if

Gemini 3 Pro fits when…

  • Massive 1M-token context window
  • State-of-the-art vision and document understanding
  • Strong reasoning at competitive price
  • Long-context tasks, handles 1.0M tokens vs 128K for Qwen3-72B.
  • Multimodal needs covering vision, audio, video.
Pick Qwen3-72B if

Qwen3-72B fits when…

  • Apache-2.0 license
  • Strongest open-weight on Chinese
  • Strong multilingual coverage
  • Self-hosting and on-prem requirements, open weights (Apache-2.0).
Don't want either?

Consider Gemini 3 Flash

Google's high-speed, low-cost mid-tier with the same massive context window, popular for high-volume RAG.

See Gemini 3 Flash specsGemini 3 Pro vs Gemini 3 FlashQwen3-72B vs Gemini 3 Flash

Frequently asked

  • Is Gemini 3 Pro or Qwen3-72B 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 3 Pro accepts 1.0M tokens vs 128K for Qwen3-72B.
  • Is Gemini 3 Pro or Qwen3-72B better for coding?
    Both Gemini 3 Pro and Qwen3-72B 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?
    Qwen3-72B ships open weights (Apache-2.0). Gemini 3 Pro is API-only.
  • When were Gemini 3 Pro and Qwen3-72B released?
    Gemini 3 Pro was released by Google on 2025-12-09. Qwen3-72B was released by Alibaba on 2025-04-29.
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