Gemini 3 Flash vs Qwen3 VL 30B A3B Instruct
Gemini 3 Flash: 65.7% average across five Vision Evals tasks (#33 of 69 models). We have not run Qwen3 VL 30B A3B Instruct through Roboflow's Vision Evals, so there is no head-to-head score. Run both on your own image below.
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Gemini 3 Flash vs Qwen3 VL 30B A3B Instruct Comparison Table
Evals updated November 12, 2026Pricing updated November 13, 2026
| Property | Gemini 3 Flash | Qwen3 VL 30B A3B Instruct |
|---|---|---|
| Organization | Qwen | |
| Category | closed | open |
| Modality | multimodal | multimodal |
| Release Date | Dec 2025 | Oct 2025 |
| Context Window | 1.0M | 262K |
| Parameters | Unknown | 31B |
| License | Proprietary | Apache 2.0 |
| Commercial use | commercial use per vendor terms | free for commercial use |
| Pricing per 1M tokens | ||
| Input $/1M | $0.500 | $0.150 |
| Output $/1M | $3.00 | $0.600 |
| Vision Tasks | ||
| Classification | Demo | Supported |
| Object Detection | Demo | Supported |
| Model Features | ||
Both support 3 more features | ||
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort | ||
| Overall | 65.7% | Not evaluated |
| Avg cost / sample | $0.0024 | – |
| Avg speed / sample | 5.83s | – |
| By task | ||
| Object Detection | 38.6% | – |
| Counting | 67.6% | – |
| Identification | 93.8% | – |
| OCR (low) | 63.9% | – |
| by category |
| |
| OCR (high) | 73.1% | – |
| by category |
| |
| Reasoning (low) | 64.9% | – |
| Reasoning (high) | 74.2% | – |
Gemini 3 Flash vs Qwen3 VL 30B A3B Instruct: Overview
Gemini 3 Flash is a proprietary multimodal large language model developed by Google through Google DeepMind, designed to deliver fast, cost-efficient reasoning across real-time products and developer workflows. Released in December 2025, it is the Flash-tier variant of the Gemini 3 family, balancing low latency with reasoning quality approaching Pro models.
The model supports text, images, audio, and video, with an exceptionally large context window of roughly one million input tokens and outputs up to ~65k tokens. It emphasizes rapid responses for coding, summarization, analysis, and agentic tasks, and exposes configurable “thinking levels” via API to trade speed for deeper reasoning. Today, Gemini 3 Flash positions itself as a high-throughput, production-ready model, serving as the default in the Gemini app and Google Search’s AI Mode, optimized for scalable, interactive AI applications.
Qwen3 VL 30B A3B Instruct is an open-weight multimodal large language model developed by Alibaba as part of the Qwen family, built for instruction-following tasks that unify text generation with visual and video understanding. Released around October 2025 under the Apache-2.0 license, it targets efficient, high-fidelity vision-language reasoning across very long contexts.
The model accepts text and image inputs and produces text outputs, with strong performance in OCR, spatial reasoning, long-video understanding, and agentic or GUI-centric visual tasks. It uses a Mixture-of-Experts (A3B) design with ~31.1B total parameters and ~3B active per token, paired with Qwen3-VL’s unified multimodal stack (including Interleaved-MRoPE and DeepStack fusion) to process text, images, and video in a single architecture. OCR support expands to 32 languages, enhancing document workflows. With a native ~262K token context window (extendable further), it stands out today for its balance of scale, efficiency, long-context support, and open accessibility in multimodal systems.