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Gemini 3.8 Flash Cyber vs Qwen3 VL 235B A22B Instruct

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.4 to 24.8.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 42.4 to 24.8, ranking #46 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 3.8 Flash Cyber

  • overall performance matters — it scores 42.4 and ranks #46 on LLM Stats
  • your work emphasizes agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3 VL 235B A22B Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
Qwen3 VL 235B A22B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
42.4
#46
24.8
#151
Agents
31.2
#27
13.1
#89
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$1.49 / M
Context window
—
262,144

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 50 for Qwen3 VL 235B A22B Instruct

No common benchmarks found

Gemini 3.8 Flash Cyber and Qwen3 VL 235B A22B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Qwen3 VL 235B A22B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Instruct specifies output context (262,144 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input262,144 tokens
Output262,144 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 235B A22B Instruct supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

Qwen3 VL 235B A22B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.8 Flash Cyber

Text
Images
Audio
Video

Qwen3 VL 235B A22B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash Cyber is licensed under a proprietary license, while Qwen3 VL 235B A22B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3.8 Flash Cyber

Proprietary

Closed source

Qwen3 VL 235B A22B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while Qwen3 VL 235B A22B Instruct was released on 2025-09-22.

Gemini 3.8 Flash Cyber is 12 months newer than Qwen3 VL 235B A22B Instruct.

Gemini 3.8 Flash Cyber

Sep 2, 2026

2 days ago

11mo newer
Qwen3 VL 235B A22B Instruct

Sep 22, 2025

11 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash Cyber and Qwen3 VL 235B A22B Instruct side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
Qwen3 VL 235B A22B Instruct
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs Qwen3 VL 235B A22B Instruct.

Which is better, Gemini 3.8 Flash Cyber or Qwen3 VL 235B A22B Instruct?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.4 to 24.8. Gemini 3.8 Flash Cyber is made by Google and Qwen3 VL 235B A22B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.8 Flash Cyber compare to Qwen3 VL 235B A22B Instruct in benchmarks?

Gemini 3.8 Flash Cyber scores Gray Swan IPI Benchmark: 94.0%, CyberGym: 86.2%, Google Real-world Vulnerability Discovery: 71.0%, CWE-Bench: 47.2%. Qwen3 VL 235B A22B Instruct scores DocVQAtest: 97.1%, ScreenSpot: 95.4%, MMLU-Redux: 92.2%, OCRBench: 92.0%, MMBench-V1.1: 89.9%.

What are the context window sizes for Gemini 3.8 Flash Cyber and Qwen3 VL 235B A22B Instruct?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and Qwen3 VL 235B A22B Instruct supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.8 Flash Cyber and Qwen3 VL 235B A22B Instruct?

Key differences include LLM Stats Score (42.4 vs 24.8), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and Qwen3 VL 235B A22B Instruct?

Gemini 3.8 Flash Cyber is developed by Google and Qwen3 VL 235B A22B Instruct is developed by Alibaba Cloud / Qwen Team.

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