Gemini 3 Pro vs Qwen2.5-Coder-32B
A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.
- 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 HumanEval (Python coding), where it scores 95.4 vs 92.7.
- ModalitiesGemini 3 Pro
Gemini 3 Pro supports 4 modalities (text, vision, audio, video) vs 1 for Qwen2.5-Coder-32B.
- OpennessQwen2.5-Coder-32B
Qwen2.5-Coder-32B 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 Qwen2.5-Coder-32B'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 HumanEval (Python coding), where it scores 95.4 vs 92.7. They differ in modality coverage, Gemini 3 Pro handles text, vision, audio, video while Qwen2.5-Coder-32B handles text, which can be the deciding factor before you even look at benchmarks. Qwen2.5-Coder-32B ships open weights (Apache-2.0); Gemini 3 Pro is API-only.
Gemini 3 Pro is the newer of the two, released 13 months after Qwen2.5-Coder-32B, 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 Qwen2.5-Coder-32B sees more deployments in coding llm and code completion. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.
Side-by-side specs
| Spec | Gemini 3 Pro | Qwen2.5-Coder-32B |
|---|---|---|
| Provider | Alibaba | |
| Released | Dec 2025 | Nov 2024 |
| Modalities | text, vision, audio, video | text |
| Context window | 1.0M tokens | 128K tokens |
| Max output | 65.5K tokens | , |
| Input · 1M | Pricing not published | Pricing not published |
| Output · 1M | Pricing not published | Pricing not published |
| Knowledge cutoff | 2025-01 | , |
| Open weights | No | Yes (Apache-2.0) |
| API available | Yes | Yes |
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).
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
- Qwen2.5-Coder-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.
- MMLU91.8
- HumanEval95.492.7
- GPQA91.9
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 Qwen2.5-Coder-32B.
- Multimodal needs covering vision, audio, video.
Qwen2.5-Coder-32B fits when…
- Top open-weight coder
- Apache-2.0
- FIM-native
- Self-hosting and on-prem requirements, open weights (Apache-2.0).
Consider Gemini 3 Flash
Google's high-speed, low-cost mid-tier with the same massive context window, popular for high-volume RAG.
Frequently asked
Is Gemini 3 Pro or Qwen2.5-Coder-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 3 Pro accepts 1.0M tokens vs 128K for Qwen2.5-Coder-32B.Is Gemini 3 Pro or Qwen2.5-Coder-32B better for coding?
Both Gemini 3 Pro and Qwen2.5-Coder-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?
Qwen2.5-Coder-32B ships open weights (Apache-2.0). Gemini 3 Pro is API-only.When were Gemini 3 Pro and Qwen2.5-Coder-32B released?
Gemini 3 Pro was released by Google on 2025-12-09. Qwen2.5-Coder-32B was released by Alibaba on 2024-11-12.
The week's AI launches, in your inbox.
One short email every Friday, new models, leaks, and quietly-shipped APIs you missed.