The AI arena is free today

Open Superagent

Gemini 3.8 Flash Cyber vs Qwen3-235B-A22B-Thinking-2507

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.4 to 28.1.

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 28.1, 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 Qwen3-235B-A22B-Thinking-2507

  • 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
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
42.4
#46
28.1
#127
Agents
31.2
#27
11.3
#100
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$3.00 / M
Context window
—
262,144

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 25 for Qwen3-235B-A22B-Thinking-2507

No common benchmarks found

Gemini 3.8 Flash Cyber and Qwen3-235B-A22B-Thinking-2507don'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 Qwen3-235B-A22B-Thinking-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Thinking-2507 specifies output context (131,072 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 3.8 Flash Cyber is licensed under a proprietary license, while Qwen3-235B-A22B-Thinking-2507 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

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Gemini 3.8 Flash Cyber is 13 months newer than Qwen3-235B-A22B-Thinking-2507.

Gemini 3.8 Flash Cyber

Sep 2, 2026

2 days ago

1.1yr newer
Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

1.1 years 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 Qwen3-235B-A22B-Thinking-2507 side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
Qwen3-235B-A22B-Thinking-2507
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs Qwen3-235B-A22B-Thinking-2507.

Which is better, Gemini 3.8 Flash Cyber or Qwen3-235B-A22B-Thinking-2507?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.4 to 28.1. Gemini 3.8 Flash Cyber is made by Google and Qwen3-235B-A22B-Thinking-2507 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 Qwen3-235B-A22B-Thinking-2507 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%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.

What are the context window sizes for Gemini 3.8 Flash Cyber and Qwen3-235B-A22B-Thinking-2507?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and Qwen3-235B-A22B-Thinking-2507 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 Qwen3-235B-A22B-Thinking-2507?

Key differences include LLM Stats Score (42.4 vs 28.1), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and Qwen3-235B-A22B-Thinking-2507?

Gemini 3.8 Flash Cyber is developed by Google and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.

Related comparisons