Gemini 3 Pro vs Qwen3.5-4B
Gemini 3 Pro (2025) and Qwen3.5-4B (2026) are general-purpose language models from Google DeepMind and Alibaba. Gemini 3 Pro ships a 1M-token context window, while Qwen3.5-4B ships a 262K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Qwen3.5-4B is safer overall; choose Gemini 3 Pro when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Gemini 3 Pro | Qwen3.5-4B |
|---|---|---|
| Decision fit | Coding, RAG, and Agents | Long context and Vision |
| Context window | 1M | 262K |
| Cheapest output | $5/1M tokens | - |
| Provider routes | 2 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Gemini 3 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 3 Pro has broader tracked provider coverage for fallback and procurement flexibility.
- Gemini 3 Pro uniquely exposes Function calling, Tool use, and Code execution in local model data.
- Local decision data tags Gemini 3 Pro for Coding, RAG, and Agents.
- Local decision data tags Qwen3.5-4B for Long context and Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Gemini 3 Pro
$2,250
Cheapest tracked route: GCP Vertex AI
Qwen3.5-4B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Gemini 3 Pro and Qwen3.5-4B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling, Tool use, and Code execution before moving production traffic.
- No overlapping tracked provider route is sourced for Qwen3.5-4B and Gemini 3 Pro; plan for SDK, billing, or endpoint changes.
- Gemini 3 Pro adds Function calling, Tool use, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-11 | 2026-03-02 |
| Context window | 1M | 262K |
| Parameters | — | 4B |
| Architecture | decoder only | - |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Pricing attribute | Gemini 3 Pro | Qwen3.5-4B |
|---|---|---|
| Input price | $1.25/1M tokens | - |
| Output price | $5/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Gemini 3 Pro | Qwen3.5-4B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | No | No |
| Code execution | Yes | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: Gemini 3 Pro, tool use: Gemini 3 Pro, and code execution: Gemini 3 Pro. Both models share vision and multimodal input, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: Gemini 3 Pro has $1.25/1M input tokens and Qwen3.5-4B has no token price sourced yet. Provider availability is 2 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Gemini 3 Pro when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Qwen3.5-4B when vision-heavy evaluation are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Gemini 3 Pro or Qwen3.5-4B?
Gemini 3 Pro supports 1M tokens, while Qwen3.5-4B supports 262K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Gemini 3 Pro or Qwen3.5-4B open source?
Gemini 3 Pro is listed under Proprietary. Qwen3.5-4B is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Gemini 3 Pro or Qwen3.5-4B?
Both Gemini 3 Pro and Qwen3.5-4B expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Gemini 3 Pro or Qwen3.5-4B?
Both Gemini 3 Pro and Qwen3.5-4B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for function calling, Gemini 3 Pro or Qwen3.5-4B?
Gemini 3 Pro has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Gemini 3 Pro and Qwen3.5-4B?
Gemini 3 Pro is available on Replicate API and GCP Vertex AI. Qwen3.5-4B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.