Gemma 4 31B vs Qwen3.5-4B
Gemma 4 31B (2026) and Qwen3.5-4B (2026) are general-purpose language models from Google DeepMind and Alibaba. Gemma 4 31B ships a 256k-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.
Gemma 4 31B is safer overall; choose Qwen3.5-4B when long-context analysis matters.
Decision scorecard
Local evidence first| Signal | Gemma 4 31B | Qwen3.5-4B |
|---|---|---|
| Decision fit | RAG, Agents, and Long context | Long context and Vision |
| Context window | 256k | 262K |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Gemma 4 31B uniquely exposes Function calling in local model data.
- Local decision data tags Gemma 4 31B for RAG, Agents, and Long context.
- Qwen3.5-4B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.5-4B uniquely exposes Vision in local model data.
- 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.
Gemma 4 31B
Unavailable
No complete token price in local provider data
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 Gemma 4 31B and Qwen3.5-4B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling before moving production traffic.
- Qwen3.5-4B adds Vision in local capability data.
- No overlapping tracked provider route is sourced for Qwen3.5-4B and Gemma 4 31B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision before moving production traffic.
- Gemma 4 31B adds Function calling in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-31 | 2026-03-02 |
| Context window | 256k | 262K |
| Parameters | 31B | 4B |
| Architecture | - | - |
| License | Open Source | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Gemma 4 31B | Qwen3.5-4B |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Gemma 4 31B | Qwen3.5-4B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Qwen3.5-4B and function calling: Gemma 4 31B. Both models share 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: Gemma 4 31B has no token price sourced yet and Qwen3.5-4B has no token price sourced yet. Provider availability is 0 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Gemma 4 31B when provider fit are central to the workload. Choose Qwen3.5-4B when long-context analysis and larger context windows 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, Gemma 4 31B or Qwen3.5-4B?
Qwen3.5-4B supports 262K tokens, while Gemma 4 31B supports 256k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Gemma 4 31B or Qwen3.5-4B open source?
Gemma 4 31B is listed under Open Source. 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, Gemma 4 31B or Qwen3.5-4B?
Qwen3.5-4B has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Gemma 4 31B or Qwen3.5-4B?
Both Gemma 4 31B 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, Gemma 4 31B or Qwen3.5-4B?
Gemma 4 31B 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.
When should I pick Gemma 4 31B over Qwen3.5-4B?
Gemma 4 31B is safer overall; choose Qwen3.5-4B when long-context analysis matters. If your workload also depends on provider fit, start with Gemma 4 31B; if it depends on long-context analysis, run the same evaluation with Qwen3.5-4B.
Continue comparing
Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.