The AI arena is free today

Open Superagent

Gemini 3.5 Flash vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 43.6.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8-Flash-Next leads the overall LLM Stats Score 50.5 to 43.6, ranking #14 overall.

In the 5 individual benchmarks reported for both models, Qwen3.8-Flash-Next wins 4; this is a narrower head-to-head signal than the composite indexes.

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

Choose Gemini 3.5 Flash

  • you want predictable pricing at $1.50/M input and $9.00/M output

Choose Qwen3.8-Flash-Next

  • overall performance matters — it scores 50.5 and ranks #14 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 5 exact shared results
  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 3.5 Flash
Google
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
43.6
#34
50.5
#14
Reasoning
44.4
#31
50.6
#12
Coding
33.8
#32
38.4
#19
Agents
31.5
#26
37.2
#12
Cost, coverage & limits
Benchmark wins
1 of 5
4 of 5
Input price
$1.50 / M
— / M
Output price
$9.00 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
Gemini 3.5 Flash
Qwen3.8-Flash-Next
Math
30.7#67
33.3#50
Vision
31.9#22
34.6#11
Tool use
31.5#10
32.3#8
Multimodal
33.0#14
35.3#8
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemini 3.5 Flash · 22 for Qwen3.8-Flash-Next

5 shared

Gemini 3.5 Flash outperforms in 1 benchmarks (Humanity's Last Exam), while Qwen3.8-Flash-Next is better at 4 benchmarks (CharXiv-R, DeepSWE 1.1, SWE-Bench Pro, Toolathlon).

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 3.5 Flash specifies input context (1,048,576 tokens). Only Gemini 3.5 Flash specifies output context (65,536 tokens).

Google
Gemini 3.5 Flash
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.5 Flash and Qwen3.8-Flash-Next support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3.5 Flash

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.5 Flash is licensed under a proprietary license, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

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

Gemini 3.5 Flash

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Gemini 3.5 Flash was released on 2026-05-19, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 3 months newer than Gemini 3.5 Flash.

Gemini 3.5 Flash

May 19, 2026

3 months ago

Qwen3.8-Flash-Next

Aug 26, 2026

2 days ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 3.5 Flash has a documented knowledge cutoff of 2026-01-31, while Qwen3.8-Flash-Next's cutoff date is not specified.

We can confirm Gemini 3.5 Flash's training data extends to 2026-01-31, but cannot make a direct comparison without Qwen3.8-Flash-Next's cutoff date.

Gemini 3.5 Flash

Jan 2026

Qwen3.8-Flash-Next

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Gemini 3.5 Flash vs Qwen3.8-Flash-Next.

Which is better, Gemini 3.5 Flash or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 43.6. Gemini 3.5 Flash is made by Google and Qwen3.8-Flash-Next 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 3.5 Flash compare to Qwen3.8-Flash-Next in benchmarks?

Gemini 3.5 Flash scores CharXiv-R: 84.2%, MCP Atlas: 83.6%, MMMU-Pro: 83.6%, OSWorld-Verified: 78.4%, Terminal-Bench 2.0: 76.2%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for Gemini 3.5 Flash and Qwen3.8-Flash-Next?

Gemini 3.5 Flash supports 1.0M tokens and Qwen3.8-Flash-Next supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.5 Flash and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (43.6 vs 50.5), licensing (Proprietary vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash and Qwen3.8-Flash-Next?

Gemini 3.5 Flash is developed by Google and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.

Related comparisons