Gemini Robotics-ER 1.6 Preview vs Qwen3.5-235B-A22B-Instruct
Gemini Robotics-ER 1.6 Preview (2026) and Qwen3.5-235B-A22B-Instruct (2026) are frontier reasoning models from Google DeepMind and Alibaba. Gemini Robotics-ER 1.6 Preview ships a 128K-token context window, while Qwen3.5-235B-A22B-Instruct ships a 512k-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.
Qwen3.5-235B-A22B-Instruct fits 4x more tokens; pick it for long-context work and Gemini Robotics-ER 1.6 Preview for tighter calls.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-14 | 2026-02-24 |
| Context window | 128K | 512k |
| Parameters | — | 235B |
| Architecture | decoder only | MoE |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Gemini Robotics-ER 1.6 Preview | Qwen3.5-235B-A22B-Instruct |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Gemini Robotics-ER 1.6 Preview | Qwen3.5-235B-A22B-Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | 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: Gemini Robotics-ER 1.6 Preview, multimodal input: Gemini Robotics-ER 1.6 Preview, reasoning mode: Gemini Robotics-ER 1.6 Preview, function calling: Gemini Robotics-ER 1.6 Preview, tool use: Gemini Robotics-ER 1.6 Preview, and structured outputs: Gemini Robotics-ER 1.6 Preview. Both models share the core language-model surface, 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 Robotics-ER 1.6 Preview has no token price sourced yet and Qwen3.5-235B-A22B-Instruct 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 Gemini Robotics-ER 1.6 Preview when reasoning depth are central to the workload. Choose Qwen3.5-235B-A22B-Instruct 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.
FAQ
Which has a larger context window, Gemini Robotics-ER 1.6 Preview or Qwen3.5-235B-A22B-Instruct?
Qwen3.5-235B-A22B-Instruct supports 512k tokens, while Gemini Robotics-ER 1.6 Preview supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Gemini Robotics-ER 1.6 Preview or Qwen3.5-235B-A22B-Instruct open source?
Gemini Robotics-ER 1.6 Preview is listed under Proprietary. Qwen3.5-235B-A22B-Instruct 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 Robotics-ER 1.6 Preview or Qwen3.5-235B-A22B-Instruct?
Gemini Robotics-ER 1.6 Preview 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.
Which is better for multimodal input, Gemini Robotics-ER 1.6 Preview or Qwen3.5-235B-A22B-Instruct?
Gemini Robotics-ER 1.6 Preview has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for reasoning mode, Gemini Robotics-ER 1.6 Preview or Qwen3.5-235B-A22B-Instruct?
Gemini Robotics-ER 1.6 Preview has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
When should I pick Gemini Robotics-ER 1.6 Preview over Qwen3.5-235B-A22B-Instruct?
Qwen3.5-235B-A22B-Instruct fits 4x more tokens; pick it for long-context work and Gemini Robotics-ER 1.6 Preview for tighter calls. If your workload also depends on reasoning depth, start with Gemini Robotics-ER 1.6 Preview; if it depends on long-context analysis, run the same evaluation with Qwen3.5-235B-A22B-Instruct.
Continue comparing
Last reviewed: 2026-05-01. Data sourced from public model cards and provider documentation.