Gemma 4 12B vs Qwen3.5 9b
Qwen3.5 9b: 56.0% average across four Vision Evals tasks (#44 of 65 models). We have not run Gemma 4 12B through Roboflow's Vision Evals, so there is no head-to-head score.
Compare Gemma 4 12B vs Qwen3.5 9b live
Run the same image across every model that supports a task and compare their outputs side-by-side.
These models don't share enough common tasks for a side-by-side demo. See the comparison table below for their capabilities.
Gemma 4 12B vs Qwen3.5 9b Comparison Table
Evals updated October 26, 2026Pricing updated November 5, 2026
| Property | Gemma 4 12B | Qwen3.5 9b |
|---|---|---|
| Organization | Qwen | |
| Category | open | open |
| Modality | multimodal | multimodal |
| Release Date | Jun 2026 | Mar 2026 |
| Context Window | — | 262K |
| Parameters | 12B | 9B |
| License | Apache 2.0 | Apache 2.0 |
| Commercial use | free for commercial use | free for commercial use |
| Pricing per 1M tokens | ||
| Input $/1M | No published price | $0.170 |
| Output $/1M | No published price | $0.250 |
| Vision Tasks | ||
| Captioning | Supported | Demo |
| OCR | Supported | Demo |
| Visual Question Answering | Supported | Demo |
| Chart Question Answering | Not listed | Supported |
| Classification | Not listed | Supported |
| Document Question Answering | Not listed | Supported |
| Image Tagging | Not listed | Supported |
| Multi-Label Classification | Not listed | Supported |
| Object Detection | Not listed | Supported |
Both support 1 more task | ||
| Model Features | ||
| Foundation Vision | Not listed | Supported |
| LLMs with Vision Capabilities | Not listed | Supported |
Both support 1 more feature | ||
Vision Evalsground-truth scores across 5 vision tasks | ||
| Overall | Not evaluated | 56.0%* |
| Quantizationsself-hosted | ||
| Avg cost / sample | – | $0.0021 |
| Avg speed / sample | – | 41.36s |
| By task | ||
| Object Detection | – | 38.1% ±5.7, Mean of 3 runs, range 33.5 to 44.9 |
| Counting | – | 56.8% ±1.4, Mean of 3 runs, range 55.4 to 58.1 |
| Identification | – | 83.3% ±1.6, Mean of 3 runs, range 81.3 to 84.4 |
| OCR | – | – |
| by category | ||
| Reasoning | – | 45.9% ±1.7, Mean of 3 runs, range 44.4 to 47.7 |
Gemma 4 12B vs Qwen3.5 9b: Overview
Gemma 4 12B is an open-weight multimodal model from Google in the Gemma 4 family. It is intended for text and image understanding tasks such as visual question answering, OCR, captioning, and document understanding, with a smaller parameter footprint than the larger Gemma 4 variants.
This entry is connected to Roboflow Playground vision evals for comparison. No runnable Playground workflow is configured yet, so the model page is used for discovery and benchmark context rather than direct hosted inference.
Qwen3.5-9B is a 9-billion-parameter multimodal foundation model developed by Alibaba Cloud's Qwen team, released on March 2, 2026 as part of the Qwen3.5 model family.
The model supports vision-language inputs through an early-fusion multimodal architecture built on a dense hybrid foundation of Gated Delta Networks and Gated Attention. It can also operate in a text-only mode by skipping the vision encoder during inference. It provides a 262,144-token context window (extensible to ~1M tokens via YaRN) and is released under the Apache License 2.0. Within the current AI landscape, Qwen3.5-9B offers a strong balance of capability and efficiency, making it well-suited for multimodal assistants, document analysis, long-context reasoning, and developer-deployed agentic systems.