Model Comparison

Qwen3.6-27B vs Gemma 4 E2BWhich is better in 2026?

Qwen3.6-27B significantly outperforms across most benchmarks.

Verdict: Qwen3.6-27B vs Gemma 4 E2B — which is better?

Qwen3.6-27B (by Alibaba Cloud / Qwen Team) and Gemma 4 E2B (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Qwen3.6-27B outperforms in 5 benchmarks (AIME 2026, GPQA, LiveCodeBench v6, MMLU-Pro, MMMU-Pro), while Gemma 4 E2B is better at 0 benchmarks. Qwen3.6-27B significantly outperforms across most benchmarks.

Choose Qwen3.6-27B if…

  • you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
  • you want the most recent training data — it shipped Apr 2026

Choose Gemma 4 E2B if…

  • you are already invested in the Google ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Qwen3.6-27B outperforms in 5 benchmarks (AIME 2026, GPQA, LiveCodeBench v6, MMLU-Pro, MMMU-Pro), while Gemma 4 E2B is better at 0 benchmarks.

Qwen3.6-27B significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

22.7B diff

Qwen3.6-27B has 22.7B more parameters than Gemma 4 E2B, making it 444.7% larger.

Alibaba Cloud / Qwen Team
Qwen3.6-27B
27.8Bparameters
Google
Gemma 4 E2B
5.1Bparameters
27.8B
Qwen3.6-27B
5.1B
Gemma 4 E2B

Context Window

Maximum input and output token capacity

Only Qwen3.6-27B specifies input context (262,144 tokens). Only Qwen3.6-27B specifies output context (65,536 tokens).

Alibaba Cloud / Qwen Team
Qwen3.6-27B
Input262,144 tokens
Output65,536 tokens
Google
Gemma 4 E2B
Input- tokens
Output- tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.6-27B and Gemma 4 E2B support multimodal inputs.

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

Qwen3.6-27B

Text
Images
Audio
Video

Gemma 4 E2B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen3.6-27B

Apache 2.0

Open weights

Gemma 4 E2B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3.6-27B was released on 2026-04-21, while Gemma 4 E2B was released on 2026-04-02.

Qwen3.6-27B is 1 month newer than Gemma 4 E2B.

Qwen3.6-27B

Apr 21, 2026

2 months ago

2w newer
Gemma 4 E2B

Apr 2, 2026

3 months ago

Knowledge Cutoff

When training data ends

Gemma 4 E2B has a documented knowledge cutoff of 2025-01-01, while Qwen3.6-27B's cutoff date is not specified.

We can confirm Gemma 4 E2B's training data extends to 2025-01-01, but cannot make a direct comparison without Qwen3.6-27B's cutoff date.

Qwen3.6-27B

Gemma 4 E2B

Jan 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.6-27B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Higher AIME 2026 score (94.1% vs 37.5%)
Higher GPQA score (87.8% vs 43.4%)
Higher LiveCodeBench v6 score (83.9% vs 44.0%)
Higher MMLU-Pro score (86.2% vs 60.0%)
Higher MMMU-Pro score (75.8% vs 44.2%)

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3.6-27B and Gemma 4 E2B side-by-side, then vote on the output you prefer.

Qwen3.6-27B
✓ Preferred
Gemma 4 E2B
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.6-27B
Google
Gemma 4 E2B

FAQ

Common questions about Qwen3.6-27B vs Gemma 4 E2B.

Which is better, Qwen3.6-27B or Gemma 4 E2B?

Qwen3.6-27B significantly outperforms across most benchmarks. Qwen3.6-27B is made by Alibaba Cloud / Qwen Team and Gemma 4 E2B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen3.6-27B compare to Gemma 4 E2B in benchmarks?

Qwen3.6-27B scores CountBench: 97.8%, VLMsAreBlind: 97.0%, V*: 94.7%, AIME 2026: 94.1%, HMMT 2025: 93.8%. Gemma 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%.

What are the context window sizes for Qwen3.6-27B and Gemma 4 E2B?

Qwen3.6-27B supports 262K tokens and Gemma 4 E2B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes Qwen3.6-27B and Gemma 4 E2B?

Qwen3.6-27B is developed by Alibaba Cloud / Qwen Team and Gemma 4 E2B is developed by Google.