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Gemini 3.8 Flash vs Qwen3.5-2B

Gemini 3.8 Flash leads the LLM Stats Score 50.5 to 3.8.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 3.8 Flash leads the overall LLM Stats Score 50.5 to 3.8, ranking #17 overall.

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

Choose Gemini 3.8 Flash

  • overall performance matters — it scores 50.5 and ranks #17 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3.5-2B

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

At a glance

The differences that matter most.

Gemini 3.8 Flash
Google
Qwen3.5-2B
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
50.5
#17
3.8
#305
Reasoning
46.9
#25
5.4
#293
Agents
35.6
#18
-0.9
#174
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.75 / M
— / M
Output price
$3.75 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 3.8 Flash
Qwen3.5-2B
Tool use
27.0#25
-0.7#182
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 3.8 Flash · 20 for Qwen3.5-2B

No common benchmarks found

Gemini 3.8 Flash and Qwen3.5-2Bdon'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 Gemini 3.8 Flash specifies input context (1,048,576 tokens). Only Gemini 3.8 Flash specifies output context (65,536 tokens).

Google
Gemini 3.8 Flash
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-2B
Input- tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.8 Flash and Qwen3.5-2B support multimodal inputs.

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

Gemini 3.8 Flash

Text
Images
Audio
Video

Qwen3.5-2B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash is licensed under a proprietary license, while Qwen3.5-2B uses Apache 2.0.

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

Gemini 3.8 Flash

Proprietary

Closed source

Qwen3.5-2B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash was released on 2026-09-02, while Qwen3.5-2B was released on 2026-03-02.

Gemini 3.8 Flash is 6 months newer than Qwen3.5-2B.

Gemini 3.8 Flash

Sep 2, 2026

2 weeks ago

6mo newer
Qwen3.5-2B

Mar 2, 2026

6 months ago

Knowledge Cutoff

When training data ends

Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while Qwen3.5-2B's cutoff date is not specified.

We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Qwen3.5-2B's cutoff date.

Gemini 3.8 Flash

Mar 2026

Qwen3.5-2B

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash and Qwen3.5-2B side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash
✓ Preferred
Qwen3.5-2B
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash vs Qwen3.5-2B.

Which is better, Gemini 3.8 Flash or Qwen3.5-2B?

Gemini 3.8 Flash leads the LLM Stats Score 50.5 to 3.8. Gemini 3.8 Flash is made by Google and Qwen3.5-2B 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 compare to Qwen3.5-2B in benchmarks?

Gemini 3.8 Flash scores Terminal-Bench 2.1: 89.4%, LVBench: 87.1%, CharXiv-R: 86.2%, LABBench2: 86.2%, DeepSWE 1.1: 73.7%. Qwen3.5-2B scores MMLU-Redux: 79.6%, IFEval: 78.6%, C-Eval: 73.2%, Global PIQA: 69.3%, MMLU-Pro: 66.5%.

What are the context window sizes for Gemini 3.8 Flash and Qwen3.5-2B?

Gemini 3.8 Flash supports 1.0M tokens and Qwen3.5-2B 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 3.8 Flash and Qwen3.5-2B?

Key differences include LLM Stats Score (50.5 vs 3.8), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash and Qwen3.5-2B?

Gemini 3.8 Flash is developed by Google and Qwen3.5-2B is developed by Alibaba Cloud / Qwen Team.

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